From 7836e236245737081e692e0b333c5919e0035b0d Mon Sep 17 00:00:00 2001 From: Sheri Gilley Date: Thu, 5 Apr 2018 12:01:00 -0500 Subject: [PATCH 01/10] Gh pages dev (#1) * initial checkin * updates * update * update * updates * updates * add _site * remove * add images * updates * updates * updates * update --- .gitignore | 1 + Powershell_Instructions.md | 74 + SetupSQL.md | 46 + _config.yml | 17 + _includes/finalsteps.md | 25 + _includes/inputdata.html | 1 + _includes/pysetup.html | 9 + _includes/requirements.md | 5 + _layouts/default.html | 85 + contents.md | 106 + data-scientist.md | 132 ++ dba.md | 130 ++ images/TextAnalysis.png | Bin 0 -> 28421 bytes images/favicon.png | Bin 0 -> 50911 bytes images/pbi1.PNG | Bin 0 -> 230249 bytes images/pbi2.PNG | Bin 0 -> 259888 bytes images/python-logo@2x.png | Bin 0 -> 15770 bytes index.md | 16 + input_data.md | 7 + js/bootstrap.js | 3535 +++++++++++++++++++++++++++++ js/bootstrap.min.js | 7 + jupyter.md | 27 + local.md | 19 + quick.md | 16 + sitemap.md | 21 + stylesheets/bootstrap.min.css | 6 + stylesheets/bootstrap.min.css.map | 1 + stylesheets/mystyles.css | 69 + tables.md | 68 + 29 files changed, 4423 insertions(+) create mode 100644 Powershell_Instructions.md create mode 100644 SetupSQL.md create mode 100644 _config.yml create mode 100644 _includes/finalsteps.md create mode 100644 _includes/inputdata.html create mode 100644 _includes/pysetup.html create mode 100644 _includes/requirements.md create mode 100644 _layouts/default.html create mode 100644 contents.md create mode 100644 data-scientist.md create mode 100644 dba.md create mode 100644 images/TextAnalysis.png create mode 100644 images/favicon.png create mode 100644 images/pbi1.PNG create mode 100644 images/pbi2.PNG create mode 100644 images/python-logo@2x.png create mode 100644 index.md create mode 100644 input_data.md create mode 100644 js/bootstrap.js create mode 100644 js/bootstrap.min.js create mode 100644 jupyter.md create mode 100644 local.md create mode 100644 quick.md create mode 100644 sitemap.md create mode 100644 stylesheets/bootstrap.min.css create mode 100644 stylesheets/bootstrap.min.css.map create mode 100644 stylesheets/mystyles.css create mode 100644 tables.md diff --git a/.gitignore b/.gitignore index 940794e..acd8f75 100644 --- a/.gitignore +++ b/.gitignore @@ -13,6 +13,7 @@ *.userprefs # Build results +_site/ [Dd]ebug/ [Dd]ebugPublic/ [Rr]elease/ diff --git a/Powershell_Instructions.md b/Powershell_Instructions.md new file mode 100644 index 0000000..0d5ca05 --- /dev/null +++ b/Powershell_Instructions.md @@ -0,0 +1,74 @@ +--- +layout: default +title: PowerShell Instructions +--- + + +## PowerShell Instructions +--------------------------- + +
+
+
+
  • Setup
    • +
  • Execute PowerShell Script
    • +
  • Score Production Data
    • +
  • Review Data
    • +
  • Visualizing Results
    • +
  • Other Steps
    • +
    +
    +
    + If you have deployed a VM through the + Azure AI Gallery, all the steps below have already been performed and your database on that machine has all the resulting tables and stored procedures. You can explore this solution in more detail by examining the folders and running Python or stored procedures to re-create the model, or skip to trying out the model in the included [Jupyter notebook](jupyter.html). +
    +
    + +If you are configuring your own server, continue with the steps below to run the PowerShell script. + +## Setup +----------- + +First, make sure you have set up your SQL Server by following these instructions. Then proceed with the steps below to run the solution template using the automated PowerShell file. + +## Execute PowerShell Script +---------------------------- + +Running this PowerShell script will create the data tables and stored procedures for the the operationalization of this solution in R in the `{{ site.db_name }}` database. It will also execute these procedures to create full database with results of the steps – dataset creation, modeling, and scoring as described [here](dba.html). + + +1. Log onto the machine that contains the SQL Server you wish to use. + +1. Install [Git](https://gitforwindows.org/) if it is not already present. During the install, check the box to add LFS support. + +2. Download TextClassificationSetup.ps1 to your computer. + +3. Open a command or PowerShell window as Administrator. + +4. CD to the directory where you downloaded the above .ps1 file and execute the command: + + .\TextClassificationSetup.ps1 + +5. Answer the prompts if any. + +This will make the following modification to your SQL Server: + +* Creates the SLQRUserGroup for running R and Python code. +* Reconfigures SQL Server to allow running of external scripts. +* Installs the latest SQL Server 2017 Cumulative Update if no updates have been installed (this solution requires at least CU1 to run successfully). +* Clones the solution code and data into the c:\Solutions\{{ site.folder_name }} directory. +* Creates the solution databases `{{ site.db_name }}_R` and `{{ site.db_name }}_Py` +* Runs the solution workflow to populate all database tables. + +
    +If you wish to run the solution code on a different computer than SQL Server machine, see Setup for Local Code Execution. +
    + +## Review Data +-------------- + +Once the PowerShell script has completed successfully, log into the SQL Server Management Studio to view all the datasets that have been created in the `{{ site.db_name }}_R` or `{{ site.db_name }}_Py` databases. +Hit `Refresh` if necessary. + +[Click here](tables.html) to view the details all tables created in this solution. + diff --git a/SetupSQL.md b/SetupSQL.md new file mode 100644 index 0000000..f48d8dd --- /dev/null +++ b/SetupSQL.md @@ -0,0 +1,46 @@ +--- +layout: default +title: "On-Prem: Setup SQL Server 2017" +--- + +## On-Prem: Setup SQL Server +-------------------------- + +
    +
    +
    +
  • Prepare your SQL Server Installation
    • +
  • Ready to Run Code
    • +
    +
    +
    + The instructions on this page will help you to add this solution to your on premises SQL Server 2016 or higher. +

    + If you instead would like to try this solution out on a virtual machine, visit the Azure AI Gallery and use the Deploy button. All the configuration described below will be done for you, as well as the initial deployment of the solution.

    +
    +
    + +## Prepare your SQL Server Installation +------------------------------------------- + +The rest of this page assumes you are configuring your on premises SQL Server 2016 or 2017 for this solution. + +If you need a trial version of SQL Server see [What's New in SQL Server 2017](https://docs.microsoft.com/en-us/sql/sql-server/what-s-new-in-sql-server-2017)for download or VM options. + +Complete the steps in the Set up Microsoft Machine Learning Services (In-Database) Instructions. The set up instructions file can found at https://msdn.microsoft.com/en-us/library/mt696069.aspx + +Make sure to install both SQL and Standalone version of R and Python. + + +### Ready to Run Code +--------------------- + +You are now ready to run the code for this solution. + +* Install the solution by following these PowerShell Instructions for deployment. + +* Typically a data scientist will create and test a predictive model from their favorite R IDE, at which point the models will be stored in SQL Server and then scored in production using Transact-SQL (T-SQL) stored procedures. +You can follow along with this by following the steps in [For the Data Scientist](data-scientist.html) or [For the Database Analyst](dba.html). + + + \ No newline at end of file diff --git a/_config.yml b/_config.yml new file mode 100644 index 0000000..d80d395 --- /dev/null +++ b/_config.yml @@ -0,0 +1,17 @@ +author: + name: Microsoft + +description: Text Classificaion using SQL Server 2017 + ML Services with R or Python +# names +solution_name: TextClassification +folder_name: TextClassification +db_name: TextClassification +ps1_name: TextClassificationSetup.ps1 +pbix_name: TextClassification.pbix + + +# urls +code_url: "https://github.com/Microsoft/ml-server-text-classification" +website_url: "https://microsoft.github.io/ml-server-text-classification/" +aka_url: "http://aka.ms/text-classification" + diff --git a/_includes/finalsteps.md b/_includes/finalsteps.md new file mode 100644 index 0000000..2dddb3a --- /dev/null +++ b/_includes/finalsteps.md @@ -0,0 +1,25 @@ + + +### Step 4: Visualize the Results +------------------------- +The Power BI file **TextClassification.pbix** included with this solution can be used to visualize how the model performs. + +On the `Training Summary` tab, you can see the predicted and actual labels for the Test data, along with the Micro Average Accuracy and Macro Average Accuracy values. + + + +On the `Scoring New Text` tab you can view the predicted labels for new text. + + + +## Template Contents +--------------------- + +[View the contents of this solution template](contents.html). + + +To try this out yourself: + +* View the [Quick Start](quick.html). + +[< Home](index.html) diff --git a/_includes/inputdata.html b/_includes/inputdata.html new file mode 100644 index 0000000..fddf7f0 --- /dev/null +++ b/_includes/inputdata.html @@ -0,0 +1 @@ +This solution uses a preprocessed version of the [NewsGroups20](http://scikit-learn.org/stable/datasets/twenty_newsgroups.html), containing a Subject, a Text, and a Label. It has a similar structure to a support ticket data set which would also have two data fields: Title, and Problem description. Thus, you can easily change this solution to use your support ticket data simply by providing the same structure for the test and train datasets. diff --git a/_includes/pysetup.html b/_includes/pysetup.html new file mode 100644 index 0000000..7c575ac --- /dev/null +++ b/_includes/pysetup.html @@ -0,0 +1,9 @@ +

    Debra would work on her own machine, using Machine Learning Services with Python to execute these Python scripts. In case you want to run the code from the VM, ML Services Python has already been installed.

    + +

    The Python code is present in the {{site.folder_name}}/Python directory.

    + +

    OPTIONAL: You can execute the Python code on your local computer if you wish, but you must first prepare both the VM and your computer.

    + +Follow these instructions to view and execute the Python code with the Jupyter Notebook. + +You can also execute the Python code with an IDE. Both PyCharms and Visual Studio are installed on your VM. For each, you must first configure the Python interpreter to use C:\Program Files\Microsoft\ML Server\PYTHON_SERVER\python.exe. \ No newline at end of file diff --git a/_includes/requirements.md b/_includes/requirements.md new file mode 100644 index 0000000..702cfaa --- /dev/null +++ b/_includes/requirements.md @@ -0,0 +1,5 @@ +Running the R or Python scripts requires the following: + + * SQL server 2017 with RevoscalePy (version 9.2) and MicrosoftML (version 1.5.0) installed and configured; +* SQL Database which the user has write permission and execute stored procedures; +* For more information about Machine Learning Services in SQL Server, please visit: [https://msdn.microsoft.com/en-us/library/mt604847.aspx](https://msdn.microsoft.com/en-us/library/mt604847.aspx) diff --git a/_layouts/default.html b/_layouts/default.html new file mode 100644 index 0000000..8fc9a11 --- /dev/null +++ b/_layouts/default.html @@ -0,0 +1,85 @@ + + + + + + {{ page.title }} + + + + + + + + + + + + + +
    +
    +
    +
    +

    {{ site.solution_name }}

    +

    Implemented with Microsoft Machine Learning Services

    +
    +
    + {{ content }} +
    +
    + + +
    + +
    +
    + +
    + +
    + + + + + + + + + \ No newline at end of file diff --git a/contents.md b/contents.md new file mode 100644 index 0000000..0b1dd2b --- /dev/null +++ b/contents.md @@ -0,0 +1,106 @@ +--- +layout: default +title: Template Contents +--- + +## Template Contents +-------------------- + +The following is the directory structure for this template: + +- [**Data**](#data) This contains Data for scoring. Other data is downloaded during the solution workflow +- [**R**](#model-development-in-R) This contains the R code to prepare training/testing/evaluation set, train the multi-class classifier and evaluate the model. +- [**Python**](#model-development-in-python) This contains the Python code to prepare training/testing/evaluation set, train the multi-class classifier and evaluate the model. +- [**SQLR**](#operationalize-in-sql-r ) Stored procedures in SQL implement the model training workflow with R code. +- [**SQLPy**](#operationalize-in-sql-python ) Stored procedures in SQL implement the model training workflow with Python code. +- [**Resources**](#resources-for-the-solution-packet) This directory contains other resources for the solution package. + + + + +### Data +---------------------------- +Data for training and testing will also be downloaded and added to this directory, so more files will be present once the solution has been run once. + + + +
    File Description
    News_To_Score Text file containing new data for scoring.
    + +### Model Development in R +------------------------- + + + + + +
    File Description
    TextClassificationR.ipynb Create features on the fly for the training and testing set, train model, make predictions, and evaluate the model in Jupyter notebook.
    run_modeling_main.R Create features on the fly for the training and testing set, train model, make predictions, and evaluate the model.
    + +* See [For the Data Scientist](data_scientist.html) for more details about these files. + + +### Operationalize in SQL R +------------------------------------------------------- +Stored procedures in SQL implement the model training workflow with R code. + + + + + + + + + +
    File Description
    Load_Data.ps1Loads all data for the solution if you'd like to create a second instance of the solution on the same server
    execute_yourself.sqlRuns through all the steps of the solution
    step0_create_tables.sqlCreate data tables, invoked in Load_Data.ps1
    step1_create_features_train.sqlCreate features on the fly and train model
    step2_score.sqlScores data with model created in step1
    step3_evaluate.sqlEvaluates model created in step1
    + +* See [ For the Database Analyst](dba.html) for more information. +* Follow the [PowerShell Instructions](Powershell_Instructions.html) to execute the PowerShell script which creates these stored procedures. + +### Model Development in Python +------------------------- + + + + + +
    File Description
    TextClassificationR.ipynb Create features on the fly for the training and testing set, train model, make predictions, and evaluate the model in Jupyter notebook.
    run_modeling_main.py Create features on the fly for the training and testing set, train model, make predictions, and evaluate the model.
    + + +* See [For the Data Scientist](data_scientist.html) for more details about these files. + + +### Operationalize in SQL Python +------------------------------------------------------- +Stored procedures in SQL implement the model training workflow with Python code. + + + + + + + + + +
    File Description
    Load_Data.ps1Loads all data for the solution if you'd like to create a second instance of the solution on the same server
    execute_yourself.sqlRuns through all the steps of the solution
    step0_create_tables.sqlCreate data tables, invoked in Load_Data.ps1
    step1_create_features_train.sqlCreate features on the fly and train model
    step2_score.sqlScores data with model created in step1
    step3_evaluate.sqlEvaluates model created in step1
    + +* See [ For the Database Analyst](dba.html) for more information. +* Follow the [PowerShell Instructions](Powershell_Instructions.html) to execute the PowerShell script which creates these stored procedures. + +### Resources for the Solution Package +------------------------------------ + + + + + + + + + + + +
    File Description
    .\Resources\ActionScripts\ConfigureSQL.ps1Configures SQL, called from SetupVM.ps1
    .\Resources\ActionScripts\CreateDatabase.sqlCreates the database for this solution, called from ConfigureSQL.ps1
    .\Resources\ActionScripts\CreateSQLObjectsPy.sqlCreates the tables and stored procedures for this solution, called from ConfigureSQL.ps1
    .\Resources\ActionScripts\CreateSQLObjectsR.sqlCreates the tables and stored procedures for this solution, called from ConfigureSQL.ps1
    .\Resources\ActionScripts\TextClassificationSetup.ps1Configures SQL, creates and populates database
    .\Resources\ActionScripts\SolutionHelp.urlURL to the help page
    + + + + +[< Home](index.html) diff --git a/data-scientist.md b/data-scientist.md new file mode 100644 index 0000000..d1f09f8 --- /dev/null +++ b/data-scientist.md @@ -0,0 +1,132 @@ +--- +layout: default +title: For the images Scientist +--- + +## For the Data Scientist - Develop with R or Python +---------------------------- + +
    +
    +
    +
  • {{ site.solution_name }}
    • +
  • System Requirements
    • +
  • Data
    • +
  • Workflow
    • + +
  • Visualize the results
    • +
  • Template Contents
    • + +
    +
    +
    + Microsoft Machine Learning Services provide an extensible, scalable platform for integrating machine learning tasks and tools with the applications that consume machine learning services. It includes a database service that runs outside the SQL Server process and communicates securely with R and Python. +

    + This solution package shows how to pre-process data (cleaning and feature engineering), train prediction models, and perform scoring on the SQL Server machine in either R or Python.

    +
    +
    + +When a customer sends a support ticket, it is important to route it to the right team in order to examine the issue and solve it in the fastest way possible. We use sample data containing a Subject, a Text, and a Label to build a machine learning model that can predict a label for new incoming data. + +This solution takes advantage of the power of SQL Server and RevoScaleR and RevoScalePy. The tables are all stored in a SQL Server, and most of the computations are done by loading chunks of data in-memory instead of the whole dataset. + +All these steps can be executed in a R or Python IDE, and are then operationalized into SQL Server Stored Procedures. Scoring of new data is then performed in SQL Server. + +Scientists who are testing and developing solutions can work from the convenience of their preferred IDE on their client machine, while setting the computation context to SQL (see **R** or **Python** folder for code). They can also deploy the completed solutions to SQL Server 2017 by embedding calls to R or Python in stored procedures. These solutions can then be further automated by the use of SQL Server Integration Services and SQL Server agent: a PowerShell script (.ps1 file) automates the running of the SQL code. + + + +## {{ site.solution_name }} +-------------------------- + +To try this out yourself, see the [Quick Start](quick.html) section on the main page. + +This page describes what happens in each of the steps. + + +## System Requirements +-------------------------- + + {% include requirements.md %} + +This code was tested using SQL Server 2017, and assumes that SQL Server with ML Services was installed. The installation process can be found [here](setupSQL.html). + +## Data +-------------------------- + +{% include inputdata.html %} + +[Click here](tables.html) to view the SQL database tables created in this solution. + +## Workflow + +The file **R/modeling_main.R** or **Python/modeling_main.py** enables the user to define the input and perform all the steps. Inputs are: paths to the raw data files, database name, server name, username and password. +The database is created if necessary, and the connection string as well as the SQL compute context are defined. + +The steps below describe the process which applies identically to the R or Python code. + + + +### Step 1: Loading the data to SQL Server +------------------------- + +The NewsGroups20 data has already been downloaded and preprocessed in R and Python, then saved to disk. The raw data has been uploaded to SQL Server. It consists of: + +* News_Train: Training set. +* News_Test: Testing set. +* Label_Names: Link between the Label integers and the Label names. + +The preprocessing consists of: + +* Separating the Subject from the rest of the text in the text variable. This creates two separate text variables: "Subject" and "Text". In this context, the data set has a similar structure to a Support Ticket classification problem. +* Remove unnecessary words or special characters ("\t", "\n" etc.). +* Remove rows with an empty text body. +* Add an Id variable. + + + +### Step 2: Create features on the fly for the training set and train the model +------------------------ + +For feature engineering, we want to featurize the text variables in the data: Subject and Text. +The Subject and Text are featurized separately in order to give to the words in the Subject the same weight as those in the Text. This approach is also applicable to Support ticket Classification problems. + +For each of the Subject and the Text separately, we: + +* Remove stopwords, diacritics, punctuation and numbers. +* Change capital letters to lower case. +* Hash the different words and characters. + +The parameters or options can be further optimized by parameter sweeping. + +This is done by following these steps: + +1. Get the factor levels of the label in the order of encounter based on the Id, serialize them, and save them to SQL Server for future use. + +2. Define the text transformation to be used to generate features, in the form of a list. It will be applied on the fly during training and testing. + +3. Train a multiclass logistic regression on the training set, using the text transformation list. + +The model trained is then serialized and saved to SQL Server for future use. + + + +### Step 3: Create features on the fly for the testing set, make predictions, and evaluate the model +------------------------- + +In the same fashion, we call the prediction function on the testing set News_Test. It makes predictions while featurizing the text variables (Subject and Text) separately on the fly. This will automatically use the same text transformation as in the training, encoded in logistic_model. + +Once we get the predictions, we perform an inner join with the "Label_Names" table in order to get the names of the predicted labels. + +Finally, we compute performance metrics in order to evaluate the model for this multi-class classification problem. + +* Micro Average Accuracy: It is the overall accuracy, which corresponds to the number of correct class predictions divided by the total number of observations in the testing set (ie. rate of correct classification). In this sense, performing poorly on some rare classes but very accurately predicting the rest might still give a good result. +* Macro Average Accuracy: It corresponds to the average of the per-class accuracy. In this sense, it treats all the classes equally, even if some of the classes are rare. + +These two metrics should thus be analyzed together, especially in the case of class imbalances. + +{% include finalsteps.md %} \ No newline at end of file diff --git a/dba.md b/dba.md new file mode 100644 index 0000000..9051d7b --- /dev/null +++ b/dba.md @@ -0,0 +1,130 @@ +--- +layout: default +title: For the Database Analyst +--- + +## For the Database Analyst - Operationalize with SQL +------------------------------ + +
    +
    +
    +
  • System Requirements
    • +
  • Workflow Automation
    • + +
  • Visualize the results
    • +
  • Template Contents
    • + +
    +
    +
    + Microsoft Machine Learning Services provide an extensible, scalable platform for integrating machine learning tasks and tools with the applications that consume machine learning services. It includes a database service that runs outside the SQL Server process and communicates securely with R and Python. +

    + This solution package shows how to pre-process data (cleaning and feature engineering), train prediction models, and perform scoring on the SQL Server machine with stored procedures which includes Python code.

    +
    +
    +When a customer sends a support ticket, it is important to route it to the right team in order to examine the issue and solve it in the fastest way possible. We use sample data containing a Subject, a Text, and a Label to build a machine learning model that can predict a label for new incoming data. + +This solution takes advantage of the power of SQL Server and RevoScaleR and RevoScalePy. The tables are all stored in a SQL Server, and most of the computations are done by loading chunks of data in-memory instead of the whole dataset. + +All the steps can be executed on SQL Server client environment (SQL Server Management Studio). We provide a Windows PowerShell script which invokes the SQL scripts and demonstrates the end-to-end modeling process. + +## System Requirements +----------------------- + + {% include requirements.md %} + + +## Workflow Automation +------------------- +Follow the [PowerShell instructions](Powershell_Instructions.html) to execute all the scripts described below. [Click here](tables.html) to view the SQL database tables created in this solution. + +The SQL Stored procedure `Initial_Run_Once_R` or `Initial_Run_Once_Py` `{{ site.db_name }}_R` or `{{ site.db_name }}_Py` database, respectively, can be used to re-run all the steps below + + + +### Step 0: Creating Tables +------------------------- + +In this step, we create four tables, `News_Train`, `News_Test`, `News_To_Score`, and `Label_Names` in a SQL Server database, and the data is uploaded to these tables using bulkcopy process from PowerShell. + +In the PowerShell script, the python script "download_data.py" in the Data folder is executed. It downloads and preprocesses the data, then save it to disk. Data is then uploaded to the SQL Tables through a bulkcopy process. + + + +### Step 1: Create features on the fly for the training set and train the model +------------------------- + +For feature engineering, we want to featurize the text variables in the data: Subject and Text. +The Subject and Text are featurized separately in order to give to the words in the Subject the same weight as those in the Text. This approach is also applicable to Support Tiket Classification problems. + +For each of the Subject and the Text separately, we: + +* Remove stopwords, diacritics, punctuation and numbers. +* Change capital letters to lower case. +* Hash the different words and characters. + +The parameters or options can be further optimized by parameter sweeping. + +This is done by following these steps: + +1. Get the factor levels of the label in the order of encounter based on the Id, serialize them, and save them to SQL Server for future use. + +2. Define the text transformation to be used to generate features, in the form of a list. It will be applied on the fly during training and testing. + +3. Train a multiclass logistic regression on the training set, using the text transformation list. + +The model trained is then serialized and saved to SQL Server for future use. + +**Example:** + + exec [dbo].[train_model] @model_key = 'LR'; + + + +### Step 2: Create features on the fly for the testing set and make predictions +------------------------- + +In the same fashion, we call the prediction function on the testing set News_Test. It makes predictions while featurizing the text variables (Subject and Text) separately on the fly. This will automatically use the same text transformation as in the training, encoded in logistic_model. + +Once we get the predictions, we perform an inner join with the "Label_Names" table in order to get the names of the predicted labels. + +This is done through the stored procedure "[dbo].[score]". It takes as inputs the name of the table with the data set to score, and the name of the table that will hold the output predictions. + +**Example:** + + exec [dbo].[score] @input = 'News_Test', @output = 'Predictions', @model_key = 'LR' + + + +### Step 3: Evaluate the model +------------------------- + +Finally, we compute performance metrics in order to evaluate the model for this multi-class classification problem. + +* Micro Average Accuracy: It is the overall accuracy, which corresponds to the number of correct class predictions divided by the total number of observations in the testing set (ie. rate of correct classification). In this sense, performing poorly on some rare classes but very accurately predicting the rest might still give a good result. + +* Macro Average Accuracy: It corresponds to the average of the per-class accuracy. In this sense, it treats all the classes equally, even if some of the classes are rare. + +These two metrics should thus be analyzed together, especially in the case of class imbalances. + +This is done through the stored procedure `[dbo].[evaluate]`, which takes as an input the name of the table holding the predictions. + +**Example:** + + exec [dbo].[evaluate] @predictions_table = 'Predictions', @model_key = 'LR' + +After evaluating the model, predictions are made on a new data set, News_To_Score. + +**Example:** + + exec [dbo].[score] @input = 'News_To_Score', @output = 'Predictions_New', @model_key = 'LR' + +These new records can be seen in the second tab of the PowerBI report. + +{% include finalsteps.md %} \ No newline at end of file diff --git a/images/TextAnalysis.png b/images/TextAnalysis.png new file mode 100644 index 0000000000000000000000000000000000000000..4511694cbacacb987e7985528188776ad6f5bce3 GIT binary patch literal 28421 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z$-#3n1PRN(mQI-burG8+#AGn%I7c5`^xyUj#>Ru)6;>jF?-9K;(Ed1IEK|7qP;y)~ z%N9HN)l69W6py~-*u?CA#zW1sp$Gl`Z4mD-i=4tjHpQw^zfJpsxa0g$s$iYH^E~SW zkbzO5z4#=8k-+-FG1B&upCy$3o>gVS510IztBe#VA^+PgrZNp$HGlw@o=x)qvR$0> aguMYVB#h{ks|J>>LDJ$1kZMuGp#KBCRVvQ_ literal 0 HcmV?d00001 diff --git a/index.md b/index.md new file mode 100644 index 0000000..27dea53 --- /dev/null +++ b/index.md @@ -0,0 +1,16 @@ +--- +layout: default +title: HOME +--- + +When a customer sends a support ticket, it is important to route it to the right team to examine the issue and solve it in the fastest way possible. This solution trains a model to classify text data. It uses a preprocessed version of the NewsGroups20, containing a Subject (extracted from the raw text data), a Text, and a Label (20 classes). While this is not support ticket data, it has a similar structure to a support ticket data set which would also have two data fields: Title and Problem description. + +The preprocessed training and testing sets are first uploaded to SQL Server. Text featurization is then defined. It consists of removing punctuation, diacritics, numbers, and predefined stopwords, then hashing the 2-gram words and 3-gram characters. The Subject and Text are featurized separately in order to give the words in the Subject as much weight as those in the Text, which is larger. Treating those two variables separately has proven to increase slightly the models predictive power in our experiments. + +A multiclass logistic regression is then trained on the training set, which is featurized on the fly. The model is saved to SQL Server, and then used to make predictions on the testing set, which is also featurized on the fly at the time of the predictions. Finally, the model is evaluated through the computation of micro and macro average accuracy. + +For customers who prefer an on-premise solution, the implementation with Microsoft Machine Learning Services is a great option that takes advantage of the powerful combination of SQL Server and the R and Python languages. We have modeled the steps in the template after a realistic team collaboration on a data science process. Data scientists do the data preparation, model training, and evaluation from their favorite IDE. DBAs can take care of the deployment using SQL stored procedures with embedded code. We also show how each of these steps can be executed on a SQL Server client environment such as SQL Server Management Studio. A Windows PowerShell script that executes the end-to-end setup and modeling process is provided for convenience. + +This solution starts with data stored in SQL Server. The data scientist works from the convenience of an IDE on her client machine, while setting the computation context to SQL. When she is done, her code is operationalized as stored procedures in the SQL Database. + +New data is scored using the `score` stored procedure in SQL. You can view the predicted labels in the output table `Predicted_New`, or visualize both test and new data and predicted labels in the {{site.pbix}} file \ No newline at end of file diff --git a/input_data.md b/input_data.md new file mode 100644 index 0000000..c5d7aa8 --- /dev/null +++ b/input_data.md @@ -0,0 +1,7 @@ +--- +layout: default +title: Input Data +--- + + +{% include inputdata.html %} diff --git a/js/bootstrap.js b/js/bootstrap.js new file mode 100644 index 0000000..2568773 --- /dev/null +++ b/js/bootstrap.js @@ -0,0 +1,3535 @@ +/*! + * Bootstrap v4.0.0-alpha.6 (https://getbootstrap.com) + * Copyright 2011-2017 The Bootstrap Authors (https://github.com/twbs/bootstrap/graphs/contributors) + * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE) + */ + +if (typeof jQuery === 'undefined') { + throw new Error('Bootstrap\'s JavaScript requires jQuery. jQuery must be included before Bootstrap\'s JavaScript.') +} + ++function ($) { + var version = $.fn.jquery.split(' ')[0].split('.') + if ((version[0] < 2 && version[1] < 9) || (version[0] == 1 && version[1] == 9 && version[2] < 1) || (version[0] >= 4)) { + throw new Error('Bootstrap\'s JavaScript requires at least jQuery v1.9.1 but less than v4.0.0') + } +}(jQuery); + + ++function () { + +var _typeof = typeof Symbol === "function" && typeof Symbol.iterator === "symbol" ? function (obj) { return typeof obj; } : function (obj) { return obj && typeof Symbol === "function" && obj.constructor === Symbol && obj !== Symbol.prototype ? "symbol" : typeof obj; }; + +var _createClass = function () { function defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } } return function (Constructor, protoProps, staticProps) { if (protoProps) defineProperties(Constructor.prototype, protoProps); if (staticProps) defineProperties(Constructor, staticProps); return Constructor; }; }(); + +function _possibleConstructorReturn(self, call) { if (!self) { throw new ReferenceError("this hasn't been initialised - super() hasn't been called"); } return call && (typeof call === "object" || typeof call === "function") ? call : self; } + +function _inherits(subClass, superClass) { if (typeof superClass !== "function" && superClass !== null) { throw new TypeError("Super expression must either be null or a function, not " + typeof superClass); } subClass.prototype = Object.create(superClass && superClass.prototype, { constructor: { value: subClass, enumerable: false, writable: true, configurable: true } }); if (superClass) Object.setPrototypeOf ? Object.setPrototypeOf(subClass, superClass) : subClass.__proto__ = superClass; } + +function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } } + +/** + * -------------------------------------------------------------------------- + * Bootstrap (v4.0.0-alpha.6): util.js + * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE) + * -------------------------------------------------------------------------- + */ + +var Util = function ($) { + + /** + * ------------------------------------------------------------------------ + * Private TransitionEnd Helpers + * ------------------------------------------------------------------------ + */ + + var transition = false; + + var MAX_UID = 1000000; + + var TransitionEndEvent = { + WebkitTransition: 'webkitTransitionEnd', + MozTransition: 'transitionend', + OTransition: 'oTransitionEnd otransitionend', + transition: 'transitionend' + }; + + // shoutout AngusCroll (https://goo.gl/pxwQGp) + function toType(obj) { + return {}.toString.call(obj).match(/\s([a-zA-Z]+)/)[1].toLowerCase(); + } + + function isElement(obj) { + return (obj[0] || obj).nodeType; + } + + function getSpecialTransitionEndEvent() { + return { + bindType: transition.end, + delegateType: transition.end, + handle: function handle(event) { + if ($(event.target).is(this)) { + return event.handleObj.handler.apply(this, arguments); // eslint-disable-line prefer-rest-params + } + return undefined; + } + }; + } + + function transitionEndTest() { + if (window.QUnit) { + return false; + } + + var el = document.createElement('bootstrap'); + + for (var name in TransitionEndEvent) { + if (el.style[name] !== undefined) { + return { + end: TransitionEndEvent[name] + }; + } + } + + return false; + } + + function transitionEndEmulator(duration) { + var _this = this; + + var called = false; + + $(this).one(Util.TRANSITION_END, function () { + called = true; + }); + + setTimeout(function () { + if (!called) { + Util.triggerTransitionEnd(_this); + } + }, duration); + + return this; + } + + function setTransitionEndSupport() { + transition = transitionEndTest(); + + $.fn.emulateTransitionEnd = transitionEndEmulator; + + if (Util.supportsTransitionEnd()) { + $.event.special[Util.TRANSITION_END] = getSpecialTransitionEndEvent(); + } + } + + /** + * -------------------------------------------------------------------------- + * Public Util Api + * -------------------------------------------------------------------------- + */ + + var Util = { + + TRANSITION_END: 'bsTransitionEnd', + + getUID: function getUID(prefix) { + do { + // eslint-disable-next-line no-bitwise + prefix += ~~(Math.random() * MAX_UID); // "~~" acts like a faster Math.floor() here + } while (document.getElementById(prefix)); + return prefix; + }, + getSelectorFromElement: function getSelectorFromElement(element) { + var selector = element.getAttribute('data-target'); + + if (!selector) { + selector = element.getAttribute('href') || ''; + selector = /^#[a-z]/i.test(selector) ? selector : null; + } + + return selector; + }, + reflow: function reflow(element) { + return element.offsetHeight; + }, + triggerTransitionEnd: function triggerTransitionEnd(element) { + $(element).trigger(transition.end); + }, + supportsTransitionEnd: function supportsTransitionEnd() { + return Boolean(transition); + }, + typeCheckConfig: function typeCheckConfig(componentName, config, configTypes) { + for (var property in configTypes) { + if (configTypes.hasOwnProperty(property)) { + var expectedTypes = configTypes[property]; + var value = config[property]; + var valueType = value && isElement(value) ? 'element' : toType(value); + + if (!new RegExp(expectedTypes).test(valueType)) { + throw new Error(componentName.toUpperCase() + ': ' + ('Option "' + property + '" provided type "' + valueType + '" ') + ('but expected type "' + expectedTypes + '".')); + } + } + } + } + }; + + setTransitionEndSupport(); + + return Util; +}(jQuery); + +/** + * -------------------------------------------------------------------------- + * Bootstrap (v4.0.0-alpha.6): alert.js + * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE) + * -------------------------------------------------------------------------- + */ + +var Alert = function ($) { + + /** + * ------------------------------------------------------------------------ + * Constants + * ------------------------------------------------------------------------ + */ + + var NAME = 'alert'; + var VERSION = '4.0.0-alpha.6'; + var DATA_KEY = 'bs.alert'; + var EVENT_KEY = '.' + DATA_KEY; + var DATA_API_KEY = '.data-api'; + var JQUERY_NO_CONFLICT = $.fn[NAME]; + var TRANSITION_DURATION = 150; + + var Selector = { + DISMISS: '[data-dismiss="alert"]' + }; + + var Event = { + CLOSE: 'close' + EVENT_KEY, + CLOSED: 'closed' + EVENT_KEY, + CLICK_DATA_API: 'click' + EVENT_KEY + DATA_API_KEY + }; + + var ClassName = { + ALERT: 'alert', + FADE: 'fade', + SHOW: 'show' + }; + + /** + * ------------------------------------------------------------------------ + * Class Definition + * ------------------------------------------------------------------------ + */ + + var Alert = function () { + function Alert(element) { + _classCallCheck(this, Alert); + + this._element = element; + } + + // getters + + // public + + Alert.prototype.close = function close(element) { + element = element || this._element; + + var rootElement = this._getRootElement(element); + var customEvent = this._triggerCloseEvent(rootElement); + + if (customEvent.isDefaultPrevented()) { + return; + } + + this._removeElement(rootElement); + }; + + Alert.prototype.dispose = function dispose() { + $.removeData(this._element, DATA_KEY); + this._element = null; + }; + + // private + + Alert.prototype._getRootElement = function _getRootElement(element) { + var selector = Util.getSelectorFromElement(element); + var parent = false; + + if (selector) { + parent = $(selector)[0]; + } + + if (!parent) { + parent = $(element).closest('.' + ClassName.ALERT)[0]; + } + + return parent; + }; + + Alert.prototype._triggerCloseEvent = function _triggerCloseEvent(element) { + var closeEvent = $.Event(Event.CLOSE); + + $(element).trigger(closeEvent); + return closeEvent; + }; + + Alert.prototype._removeElement = function _removeElement(element) { + var _this2 = this; + + $(element).removeClass(ClassName.SHOW); + + if (!Util.supportsTransitionEnd() || !$(element).hasClass(ClassName.FADE)) { + this._destroyElement(element); + return; + } + + $(element).one(Util.TRANSITION_END, function (event) { + return _this2._destroyElement(element, event); + }).emulateTransitionEnd(TRANSITION_DURATION); + }; + + Alert.prototype._destroyElement = function _destroyElement(element) { + $(element).detach().trigger(Event.CLOSED).remove(); + }; + + // static + + Alert._jQueryInterface = function _jQueryInterface(config) { + return this.each(function () { + var $element = $(this); + var data = $element.data(DATA_KEY); + + if (!data) { + data = new Alert(this); + $element.data(DATA_KEY, data); + } + + if (config === 'close') { + data[config](this); + } + }); + }; + + Alert._handleDismiss = function _handleDismiss(alertInstance) { + return function (event) { + if (event) { + event.preventDefault(); + } + + alertInstance.close(this); + }; + }; + + _createClass(Alert, null, [{ + key: 'VERSION', + get: function get() { + return VERSION; + } + }]); + + return Alert; + }(); + + /** + * ------------------------------------------------------------------------ + * Data Api implementation + * ------------------------------------------------------------------------ + */ + + $(document).on(Event.CLICK_DATA_API, Selector.DISMISS, Alert._handleDismiss(new Alert())); + + /** + * ------------------------------------------------------------------------ + * jQuery + * ------------------------------------------------------------------------ + */ + + $.fn[NAME] = Alert._jQueryInterface; + $.fn[NAME].Constructor = Alert; + $.fn[NAME].noConflict = function () { + $.fn[NAME] = JQUERY_NO_CONFLICT; + return Alert._jQueryInterface; + }; + + return Alert; +}(jQuery); + +/** + * -------------------------------------------------------------------------- + * Bootstrap (v4.0.0-alpha.6): button.js + * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE) + * -------------------------------------------------------------------------- + */ + +var Button = function ($) { + + /** + * ------------------------------------------------------------------------ + * Constants + * ------------------------------------------------------------------------ + */ + + var NAME = 'button'; + var VERSION = '4.0.0-alpha.6'; + var DATA_KEY = 'bs.button'; + var EVENT_KEY = '.' + DATA_KEY; + var DATA_API_KEY = '.data-api'; + var JQUERY_NO_CONFLICT = $.fn[NAME]; + + var ClassName = { + ACTIVE: 'active', + BUTTON: 'btn', + FOCUS: 'focus' + }; + + var Selector = { + DATA_TOGGLE_CARROT: '[data-toggle^="button"]', + DATA_TOGGLE: '[data-toggle="buttons"]', + INPUT: 'input', + ACTIVE: '.active', + BUTTON: '.btn' + }; + + var Event = { + CLICK_DATA_API: 'click' + EVENT_KEY + DATA_API_KEY, + FOCUS_BLUR_DATA_API: 'focus' + EVENT_KEY + DATA_API_KEY + ' ' + ('blur' + EVENT_KEY + DATA_API_KEY) + }; + + /** + * ------------------------------------------------------------------------ + * Class Definition + * ------------------------------------------------------------------------ + */ + + var Button = function () { + function Button(element) { + _classCallCheck(this, Button); + + this._element = element; + } + + // getters + + // public + + Button.prototype.toggle = function toggle() { + var triggerChangeEvent = true; + var rootElement = $(this._element).closest(Selector.DATA_TOGGLE)[0]; + + if (rootElement) { + var input = $(this._element).find(Selector.INPUT)[0]; + + if (input) { + if (input.type === 'radio') { + if (input.checked && $(this._element).hasClass(ClassName.ACTIVE)) { + triggerChangeEvent = false; + } else { + var activeElement = $(rootElement).find(Selector.ACTIVE)[0]; + + if (activeElement) { + $(activeElement).removeClass(ClassName.ACTIVE); + } + } + } + + if (triggerChangeEvent) { + input.checked = !$(this._element).hasClass(ClassName.ACTIVE); + $(input).trigger('change'); + } + + input.focus(); + } + } + + this._element.setAttribute('aria-pressed', !$(this._element).hasClass(ClassName.ACTIVE)); + + if (triggerChangeEvent) { + $(this._element).toggleClass(ClassName.ACTIVE); + } + }; + + Button.prototype.dispose = function dispose() { + $.removeData(this._element, DATA_KEY); + this._element = null; + }; + + // static + + Button._jQueryInterface = function _jQueryInterface(config) { + return this.each(function () { + var data = $(this).data(DATA_KEY); + + if (!data) { + data = new Button(this); + $(this).data(DATA_KEY, data); + } + + if (config === 'toggle') { + data[config](); + } + }); + }; + + _createClass(Button, null, [{ + key: 'VERSION', + get: function get() { + return VERSION; + } + }]); + + return Button; + }(); + + /** + * ------------------------------------------------------------------------ + * Data Api implementation + * ------------------------------------------------------------------------ + */ + + $(document).on(Event.CLICK_DATA_API, Selector.DATA_TOGGLE_CARROT, function (event) { + event.preventDefault(); + + var button = event.target; + + if (!$(button).hasClass(ClassName.BUTTON)) { + button = $(button).closest(Selector.BUTTON); + } + + Button._jQueryInterface.call($(button), 'toggle'); + }).on(Event.FOCUS_BLUR_DATA_API, Selector.DATA_TOGGLE_CARROT, function (event) { + var button = $(event.target).closest(Selector.BUTTON)[0]; + $(button).toggleClass(ClassName.FOCUS, /^focus(in)?$/.test(event.type)); + }); + + /** + * ------------------------------------------------------------------------ + * jQuery + * ------------------------------------------------------------------------ + */ + + $.fn[NAME] = Button._jQueryInterface; + $.fn[NAME].Constructor = Button; + $.fn[NAME].noConflict = function () { + $.fn[NAME] = JQUERY_NO_CONFLICT; + return Button._jQueryInterface; + }; + + return Button; +}(jQuery); + +/** + * -------------------------------------------------------------------------- + * Bootstrap (v4.0.0-alpha.6): carousel.js + * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE) + * -------------------------------------------------------------------------- + */ + +var Carousel = function ($) { + + /** + * ------------------------------------------------------------------------ + * Constants + * ------------------------------------------------------------------------ + */ + + var NAME = 'carousel'; + var VERSION = '4.0.0-alpha.6'; + var DATA_KEY = 'bs.carousel'; + var EVENT_KEY = '.' + DATA_KEY; + var DATA_API_KEY = '.data-api'; + var JQUERY_NO_CONFLICT = $.fn[NAME]; + var TRANSITION_DURATION = 600; + var ARROW_LEFT_KEYCODE = 37; // KeyboardEvent.which value for left arrow key + var ARROW_RIGHT_KEYCODE = 39; // KeyboardEvent.which value for right arrow key + + var Default = { + interval: 5000, + keyboard: true, + slide: false, + pause: 'hover', + wrap: true + }; + + var DefaultType = { + interval: '(number|boolean)', + keyboard: 'boolean', + slide: '(boolean|string)', + pause: '(string|boolean)', + wrap: 'boolean' + }; + + var Direction = { + NEXT: 'next', + PREV: 'prev', + LEFT: 'left', + RIGHT: 'right' + }; + + var Event = { + SLIDE: 'slide' + EVENT_KEY, + SLID: 'slid' + EVENT_KEY, + KEYDOWN: 'keydown' + EVENT_KEY, + MOUSEENTER: 'mouseenter' + EVENT_KEY, + MOUSELEAVE: 'mouseleave' + EVENT_KEY, + LOAD_DATA_API: 'load' + EVENT_KEY + DATA_API_KEY, + CLICK_DATA_API: 'click' + EVENT_KEY + DATA_API_KEY + }; + + var ClassName = { + CAROUSEL: 'carousel', + ACTIVE: 'active', + SLIDE: 'slide', + RIGHT: 'carousel-item-right', + LEFT: 'carousel-item-left', + NEXT: 'carousel-item-next', + PREV: 'carousel-item-prev', + ITEM: 'carousel-item' + }; + + var Selector = { + ACTIVE: '.active', + ACTIVE_ITEM: '.active.carousel-item', + ITEM: '.carousel-item', + NEXT_PREV: '.carousel-item-next, .carousel-item-prev', + INDICATORS: '.carousel-indicators', + DATA_SLIDE: '[data-slide], [data-slide-to]', + DATA_RIDE: '[data-ride="carousel"]' + }; + + /** + * ------------------------------------------------------------------------ + * Class Definition + * ------------------------------------------------------------------------ + */ + + var Carousel = function () { + function Carousel(element, config) { + _classCallCheck(this, Carousel); + + this._items = null; + this._interval = null; + this._activeElement = null; + + this._isPaused = false; + this._isSliding = false; + + this._config = this._getConfig(config); + this._element = $(element)[0]; + this._indicatorsElement = $(this._element).find(Selector.INDICATORS)[0]; + + this._addEventListeners(); + } + + // getters + + // public + + Carousel.prototype.next = function next() { + if (this._isSliding) { + throw new Error('Carousel is sliding'); + } + this._slide(Direction.NEXT); + }; + + Carousel.prototype.nextWhenVisible = function nextWhenVisible() { + // Don't call next when the page isn't visible + if (!document.hidden) { + this.next(); + } + }; + + Carousel.prototype.prev = function prev() { + if (this._isSliding) { + throw new Error('Carousel is sliding'); + } + this._slide(Direction.PREVIOUS); + }; + + Carousel.prototype.pause = function pause(event) { + if (!event) { + this._isPaused = true; + } + + if ($(this._element).find(Selector.NEXT_PREV)[0] && Util.supportsTransitionEnd()) { + Util.triggerTransitionEnd(this._element); + this.cycle(true); + } + + clearInterval(this._interval); + this._interval = null; + }; + + Carousel.prototype.cycle = function cycle(event) { + if (!event) { + this._isPaused = false; + } + + if (this._interval) { + clearInterval(this._interval); + this._interval = null; + } + + if (this._config.interval && !this._isPaused) { + this._interval = setInterval((document.visibilityState ? this.nextWhenVisible : this.next).bind(this), this._config.interval); + } + }; + + Carousel.prototype.to = function to(index) { + var _this3 = this; + + this._activeElement = $(this._element).find(Selector.ACTIVE_ITEM)[0]; + + var activeIndex = this._getItemIndex(this._activeElement); + + if (index > this._items.length - 1 || index < 0) { + return; + } + + if (this._isSliding) { + $(this._element).one(Event.SLID, function () { + return _this3.to(index); + }); + return; + } + + if (activeIndex === index) { + this.pause(); + this.cycle(); + return; + } + + var direction = index > activeIndex ? Direction.NEXT : Direction.PREVIOUS; + + this._slide(direction, this._items[index]); + }; + + Carousel.prototype.dispose = function dispose() { + $(this._element).off(EVENT_KEY); + $.removeData(this._element, DATA_KEY); + + this._items = null; + this._config = null; + this._element = null; + this._interval = null; + this._isPaused = null; + this._isSliding = null; + this._activeElement = null; + this._indicatorsElement = null; + }; + + // private + + Carousel.prototype._getConfig = function _getConfig(config) { + config = $.extend({}, Default, config); + Util.typeCheckConfig(NAME, config, DefaultType); + return config; + }; + + Carousel.prototype._addEventListeners = function _addEventListeners() { + var _this4 = this; + + if (this._config.keyboard) { + $(this._element).on(Event.KEYDOWN, function (event) { + return _this4._keydown(event); + }); + } + + if (this._config.pause === 'hover' && !('ontouchstart' in document.documentElement)) { + $(this._element).on(Event.MOUSEENTER, function (event) { + return _this4.pause(event); + }).on(Event.MOUSELEAVE, function (event) { + return _this4.cycle(event); + }); + } + }; + + Carousel.prototype._keydown = function _keydown(event) { + if (/input|textarea/i.test(event.target.tagName)) { + return; + } + + switch (event.which) { + case ARROW_LEFT_KEYCODE: + event.preventDefault(); + this.prev(); + break; + case ARROW_RIGHT_KEYCODE: + event.preventDefault(); + this.next(); + break; + default: + return; + } + }; + + Carousel.prototype._getItemIndex = function _getItemIndex(element) { + this._items = $.makeArray($(element).parent().find(Selector.ITEM)); + return this._items.indexOf(element); + }; + + Carousel.prototype._getItemByDirection = function _getItemByDirection(direction, activeElement) { + var isNextDirection = direction === Direction.NEXT; + var isPrevDirection = direction === Direction.PREVIOUS; + var activeIndex = this._getItemIndex(activeElement); + var lastItemIndex = this._items.length - 1; + var isGoingToWrap = isPrevDirection && activeIndex === 0 || isNextDirection && activeIndex === lastItemIndex; + + if (isGoingToWrap && !this._config.wrap) { + return activeElement; + } + + var delta = direction === Direction.PREVIOUS ? -1 : 1; + var itemIndex = (activeIndex + delta) % this._items.length; + + return itemIndex === -1 ? this._items[this._items.length - 1] : this._items[itemIndex]; + }; + + Carousel.prototype._triggerSlideEvent = function _triggerSlideEvent(relatedTarget, eventDirectionName) { + var slideEvent = $.Event(Event.SLIDE, { + relatedTarget: relatedTarget, + direction: eventDirectionName + }); + + $(this._element).trigger(slideEvent); + + return slideEvent; + }; + + Carousel.prototype._setActiveIndicatorElement = function _setActiveIndicatorElement(element) { + if (this._indicatorsElement) { + $(this._indicatorsElement).find(Selector.ACTIVE).removeClass(ClassName.ACTIVE); + + var nextIndicator = this._indicatorsElement.children[this._getItemIndex(element)]; + + if (nextIndicator) { + $(nextIndicator).addClass(ClassName.ACTIVE); + } + } + }; + + Carousel.prototype._slide = function _slide(direction, element) { + var _this5 = this; + + var activeElement = $(this._element).find(Selector.ACTIVE_ITEM)[0]; + var nextElement = element || activeElement && this._getItemByDirection(direction, activeElement); + + var isCycling = Boolean(this._interval); + + var directionalClassName = void 0; + var orderClassName = void 0; + var eventDirectionName = void 0; + + if (direction === Direction.NEXT) { + directionalClassName = ClassName.LEFT; + orderClassName = ClassName.NEXT; + eventDirectionName = Direction.LEFT; + } else { + directionalClassName = ClassName.RIGHT; + orderClassName = ClassName.PREV; + eventDirectionName = Direction.RIGHT; + } + + if (nextElement && $(nextElement).hasClass(ClassName.ACTIVE)) { + this._isSliding = false; + return; + } + + var slideEvent = this._triggerSlideEvent(nextElement, eventDirectionName); + if (slideEvent.isDefaultPrevented()) { + return; + } + + if (!activeElement || !nextElement) { + // some weirdness is happening, so we bail + return; + } + + this._isSliding = true; + + if (isCycling) { + this.pause(); + } + + this._setActiveIndicatorElement(nextElement); + + var slidEvent = $.Event(Event.SLID, { + relatedTarget: nextElement, + direction: eventDirectionName + }); + + if (Util.supportsTransitionEnd() && $(this._element).hasClass(ClassName.SLIDE)) { + + $(nextElement).addClass(orderClassName); + + Util.reflow(nextElement); + + $(activeElement).addClass(directionalClassName); + $(nextElement).addClass(directionalClassName); + + $(activeElement).one(Util.TRANSITION_END, function () { + $(nextElement).removeClass(directionalClassName + ' ' + orderClassName).addClass(ClassName.ACTIVE); + + $(activeElement).removeClass(ClassName.ACTIVE + ' ' + orderClassName + ' ' + directionalClassName); + + _this5._isSliding = false; + + setTimeout(function () { + return $(_this5._element).trigger(slidEvent); + }, 0); + }).emulateTransitionEnd(TRANSITION_DURATION); + } else { + $(activeElement).removeClass(ClassName.ACTIVE); + $(nextElement).addClass(ClassName.ACTIVE); + + this._isSliding = false; + $(this._element).trigger(slidEvent); + } + + if (isCycling) { + this.cycle(); + } + }; + + // static + + Carousel._jQueryInterface = function _jQueryInterface(config) { + return this.each(function () { + var data = $(this).data(DATA_KEY); + var _config = $.extend({}, Default, $(this).data()); + + if ((typeof config === 'undefined' ? 'undefined' : _typeof(config)) === 'object') { + $.extend(_config, config); + } + + var action = typeof config === 'string' ? config : _config.slide; + + if (!data) { + data = new Carousel(this, _config); + $(this).data(DATA_KEY, data); + } + + if (typeof config === 'number') { + data.to(config); + } else if (typeof action === 'string') { + if (data[action] === undefined) { + throw new Error('No method named "' + action + '"'); + } + data[action](); + } else if (_config.interval) { + data.pause(); + data.cycle(); + } + }); + }; + + Carousel._dataApiClickHandler = function _dataApiClickHandler(event) { + var selector = Util.getSelectorFromElement(this); + + if (!selector) { + return; + } + + var target = $(selector)[0]; + + if (!target || !$(target).hasClass(ClassName.CAROUSEL)) { + return; + } + + var config = $.extend({}, $(target).data(), $(this).data()); + var slideIndex = this.getAttribute('data-slide-to'); + + if (slideIndex) { + config.interval = false; + } + + Carousel._jQueryInterface.call($(target), config); + + if (slideIndex) { + $(target).data(DATA_KEY).to(slideIndex); + } + + event.preventDefault(); + }; + + _createClass(Carousel, null, [{ + key: 'VERSION', + get: function get() { + return VERSION; + } + }, { + key: 'Default', + get: function get() { + return Default; + } + }]); + + return Carousel; + }(); + + /** + * ------------------------------------------------------------------------ + * Data Api implementation + * ------------------------------------------------------------------------ + */ + + $(document).on(Event.CLICK_DATA_API, Selector.DATA_SLIDE, Carousel._dataApiClickHandler); + + $(window).on(Event.LOAD_DATA_API, function () { + $(Selector.DATA_RIDE).each(function () { + var $carousel = $(this); + Carousel._jQueryInterface.call($carousel, $carousel.data()); + }); + }); + + /** + * ------------------------------------------------------------------------ + * jQuery + * ------------------------------------------------------------------------ + */ + + $.fn[NAME] = Carousel._jQueryInterface; + $.fn[NAME].Constructor = Carousel; + $.fn[NAME].noConflict = function () { + $.fn[NAME] = JQUERY_NO_CONFLICT; + return Carousel._jQueryInterface; + }; + + return Carousel; +}(jQuery); + +/** + * -------------------------------------------------------------------------- + * Bootstrap (v4.0.0-alpha.6): collapse.js + * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE) + * -------------------------------------------------------------------------- + */ + +var Collapse = function ($) { + + /** + * ------------------------------------------------------------------------ + * Constants + * ------------------------------------------------------------------------ + */ + + var NAME = 'collapse'; + var VERSION = '4.0.0-alpha.6'; + var DATA_KEY = 'bs.collapse'; + var EVENT_KEY = '.' + DATA_KEY; + var DATA_API_KEY = '.data-api'; + var JQUERY_NO_CONFLICT = $.fn[NAME]; + var TRANSITION_DURATION = 600; + + var Default = { + toggle: true, + parent: '' + }; + + var DefaultType = { + toggle: 'boolean', + parent: 'string' + }; + + var Event = { + SHOW: 'show' + EVENT_KEY, + SHOWN: 'shown' + EVENT_KEY, + HIDE: 'hide' + EVENT_KEY, + HIDDEN: 'hidden' + EVENT_KEY, + CLICK_DATA_API: 'click' + EVENT_KEY + DATA_API_KEY + }; + + var ClassName = { + SHOW: 'show', + COLLAPSE: 'collapse', + COLLAPSING: 'collapsing', + COLLAPSED: 'collapsed' + }; + + var Dimension = { + WIDTH: 'width', + HEIGHT: 'height' + }; + + var Selector = { + ACTIVES: '.card > .show, .card > .collapsing', + DATA_TOGGLE: '[data-toggle="collapse"]' + }; + + /** + * ------------------------------------------------------------------------ + * Class Definition + * ------------------------------------------------------------------------ + */ + + var Collapse = function () { + function Collapse(element, config) { + _classCallCheck(this, Collapse); + + this._isTransitioning = false; + this._element = element; + this._config = this._getConfig(config); + this._triggerArray = $.makeArray($('[data-toggle="collapse"][href="#' + element.id + '"],' + ('[data-toggle="collapse"][data-target="#' + element.id + '"]'))); + + this._parent = this._config.parent ? this._getParent() : null; + + if (!this._config.parent) { + this._addAriaAndCollapsedClass(this._element, this._triggerArray); + } + + if (this._config.toggle) { + this.toggle(); + } + } + + // getters + + // public + + Collapse.prototype.toggle = function toggle() { + if ($(this._element).hasClass(ClassName.SHOW)) { + this.hide(); + } else { + this.show(); + } + }; + + Collapse.prototype.show = function show() { + var _this6 = this; + + if (this._isTransitioning) { + throw new Error('Collapse is transitioning'); + } + + if ($(this._element).hasClass(ClassName.SHOW)) { + return; + } + + var actives = void 0; + var activesData = void 0; + + if (this._parent) { + actives = $.makeArray($(this._parent).find(Selector.ACTIVES)); + if (!actives.length) { + actives = null; + } + } + + if (actives) { + activesData = $(actives).data(DATA_KEY); + if (activesData && activesData._isTransitioning) { + return; + } + } + + var startEvent = $.Event(Event.SHOW); + $(this._element).trigger(startEvent); + if (startEvent.isDefaultPrevented()) { + return; + } + + if (actives) { + Collapse._jQueryInterface.call($(actives), 'hide'); + if (!activesData) { + $(actives).data(DATA_KEY, null); + } + } + + var dimension = this._getDimension(); + + $(this._element).removeClass(ClassName.COLLAPSE).addClass(ClassName.COLLAPSING); + + this._element.style[dimension] = 0; + this._element.setAttribute('aria-expanded', true); + + if (this._triggerArray.length) { + $(this._triggerArray).removeClass(ClassName.COLLAPSED).attr('aria-expanded', true); + } + + this.setTransitioning(true); + + var complete = function complete() { + $(_this6._element).removeClass(ClassName.COLLAPSING).addClass(ClassName.COLLAPSE).addClass(ClassName.SHOW); + + _this6._element.style[dimension] = ''; + + _this6.setTransitioning(false); + + $(_this6._element).trigger(Event.SHOWN); + }; + + if (!Util.supportsTransitionEnd()) { + complete(); + return; + } + + var capitalizedDimension = dimension[0].toUpperCase() + dimension.slice(1); + var scrollSize = 'scroll' + capitalizedDimension; + + $(this._element).one(Util.TRANSITION_END, complete).emulateTransitionEnd(TRANSITION_DURATION); + + this._element.style[dimension] = this._element[scrollSize] + 'px'; + }; + + Collapse.prototype.hide = function hide() { + var _this7 = this; + + if (this._isTransitioning) { + throw new Error('Collapse is transitioning'); + } + + if (!$(this._element).hasClass(ClassName.SHOW)) { + return; + } + + var startEvent = $.Event(Event.HIDE); + $(this._element).trigger(startEvent); + if (startEvent.isDefaultPrevented()) { + return; + } + + var dimension = this._getDimension(); + var offsetDimension = dimension === Dimension.WIDTH ? 'offsetWidth' : 'offsetHeight'; + + this._element.style[dimension] = this._element[offsetDimension] + 'px'; + + Util.reflow(this._element); + + $(this._element).addClass(ClassName.COLLAPSING).removeClass(ClassName.COLLAPSE).removeClass(ClassName.SHOW); + + this._element.setAttribute('aria-expanded', false); + + if (this._triggerArray.length) { + $(this._triggerArray).addClass(ClassName.COLLAPSED).attr('aria-expanded', false); + } + + this.setTransitioning(true); + + var complete = function complete() { + _this7.setTransitioning(false); + $(_this7._element).removeClass(ClassName.COLLAPSING).addClass(ClassName.COLLAPSE).trigger(Event.HIDDEN); + }; + + this._element.style[dimension] = ''; + + if (!Util.supportsTransitionEnd()) { + complete(); + return; + } + + $(this._element).one(Util.TRANSITION_END, complete).emulateTransitionEnd(TRANSITION_DURATION); + }; + + Collapse.prototype.setTransitioning = function setTransitioning(isTransitioning) { + this._isTransitioning = isTransitioning; + }; + + Collapse.prototype.dispose = function dispose() { + $.removeData(this._element, DATA_KEY); + + this._config = null; + this._parent = null; + this._element = null; + this._triggerArray = null; + this._isTransitioning = null; + }; + + // private + + Collapse.prototype._getConfig = function _getConfig(config) { + config = $.extend({}, Default, config); + config.toggle = Boolean(config.toggle); // coerce string values + Util.typeCheckConfig(NAME, config, DefaultType); + return config; + }; + + Collapse.prototype._getDimension = function _getDimension() { + var hasWidth = $(this._element).hasClass(Dimension.WIDTH); + return hasWidth ? Dimension.WIDTH : Dimension.HEIGHT; + }; + + Collapse.prototype._getParent = function _getParent() { + var _this8 = this; + + var parent = $(this._config.parent)[0]; + var selector = '[data-toggle="collapse"][data-parent="' + this._config.parent + '"]'; + + $(parent).find(selector).each(function (i, element) { + _this8._addAriaAndCollapsedClass(Collapse._getTargetFromElement(element), [element]); + }); + + return parent; + }; + + Collapse.prototype._addAriaAndCollapsedClass = function _addAriaAndCollapsedClass(element, triggerArray) { + if (element) { + var isOpen = $(element).hasClass(ClassName.SHOW); + element.setAttribute('aria-expanded', isOpen); + + if (triggerArray.length) { + $(triggerArray).toggleClass(ClassName.COLLAPSED, !isOpen).attr('aria-expanded', isOpen); + } + } + }; + + // static + + Collapse._getTargetFromElement = function _getTargetFromElement(element) { + var selector = Util.getSelectorFromElement(element); + return selector ? $(selector)[0] : null; + }; + + Collapse._jQueryInterface = function _jQueryInterface(config) { + return this.each(function () { + var $this = $(this); + var data = $this.data(DATA_KEY); + var _config = $.extend({}, Default, $this.data(), (typeof config === 'undefined' ? 'undefined' : _typeof(config)) === 'object' && config); + + if (!data && _config.toggle && /show|hide/.test(config)) { + _config.toggle = false; + } + + if (!data) { + data = new Collapse(this, _config); + $this.data(DATA_KEY, data); + } + + if (typeof config === 'string') { + if (data[config] === undefined) { + throw new Error('No method named "' + config + '"'); + } + data[config](); + } + }); + }; + + _createClass(Collapse, null, [{ + key: 'VERSION', + get: function get() { + return VERSION; + } + }, { + key: 'Default', + get: function get() { + return Default; + } + }]); + + return Collapse; + }(); + + /** + * ------------------------------------------------------------------------ + * Data Api implementation + * ------------------------------------------------------------------------ + */ + + $(document).on(Event.CLICK_DATA_API, Selector.DATA_TOGGLE, function (event) { + event.preventDefault(); + + var target = Collapse._getTargetFromElement(this); + var data = $(target).data(DATA_KEY); + var config = data ? 'toggle' : $(this).data(); + + Collapse._jQueryInterface.call($(target), config); + }); + + /** + * ------------------------------------------------------------------------ + * jQuery + * ------------------------------------------------------------------------ + */ + + $.fn[NAME] = Collapse._jQueryInterface; + $.fn[NAME].Constructor = Collapse; + $.fn[NAME].noConflict = function () { + $.fn[NAME] = JQUERY_NO_CONFLICT; + return Collapse._jQueryInterface; + }; + + return Collapse; +}(jQuery); + +/** + * -------------------------------------------------------------------------- + * Bootstrap (v4.0.0-alpha.6): dropdown.js + * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE) + * -------------------------------------------------------------------------- + */ + +var Dropdown = function ($) { + + /** + * ------------------------------------------------------------------------ + * Constants + * ------------------------------------------------------------------------ + */ + + var NAME = 'dropdown'; + var VERSION = '4.0.0-alpha.6'; + var DATA_KEY = 'bs.dropdown'; + var EVENT_KEY = '.' + DATA_KEY; + var DATA_API_KEY = '.data-api'; + var JQUERY_NO_CONFLICT = $.fn[NAME]; + var ESCAPE_KEYCODE = 27; // KeyboardEvent.which value for Escape (Esc) key + var ARROW_UP_KEYCODE = 38; // KeyboardEvent.which value for up arrow key + var ARROW_DOWN_KEYCODE = 40; // KeyboardEvent.which value for down arrow key + var RIGHT_MOUSE_BUTTON_WHICH = 3; // MouseEvent.which value for the right button (assuming a right-handed mouse) + + var Event = { + HIDE: 'hide' + EVENT_KEY, + HIDDEN: 'hidden' + EVENT_KEY, + SHOW: 'show' + EVENT_KEY, + SHOWN: 'shown' + EVENT_KEY, + CLICK: 'click' + EVENT_KEY, + CLICK_DATA_API: 'click' + EVENT_KEY + DATA_API_KEY, + FOCUSIN_DATA_API: 'focusin' + EVENT_KEY + DATA_API_KEY, + KEYDOWN_DATA_API: 'keydown' + EVENT_KEY + DATA_API_KEY + }; + + var ClassName = { + BACKDROP: 'dropdown-backdrop', + DISABLED: 'disabled', + SHOW: 'show' + }; + + var Selector = { + BACKDROP: '.dropdown-backdrop', + DATA_TOGGLE: '[data-toggle="dropdown"]', + FORM_CHILD: '.dropdown form', + ROLE_MENU: '[role="menu"]', + ROLE_LISTBOX: '[role="listbox"]', + NAVBAR_NAV: '.navbar-nav', + VISIBLE_ITEMS: '[role="menu"] li:not(.disabled) a, ' + '[role="listbox"] li:not(.disabled) a' + }; + + /** + * ------------------------------------------------------------------------ + * Class Definition + * ------------------------------------------------------------------------ + */ + + var Dropdown = function () { + function Dropdown(element) { + _classCallCheck(this, Dropdown); + + this._element = element; + + this._addEventListeners(); + } + + // getters + + // public + + Dropdown.prototype.toggle = function toggle() { + if (this.disabled || $(this).hasClass(ClassName.DISABLED)) { + return false; + } + + var parent = Dropdown._getParentFromElement(this); + var isActive = $(parent).hasClass(ClassName.SHOW); + + Dropdown._clearMenus(); + + if (isActive) { + return false; + } + + if ('ontouchstart' in document.documentElement && !$(parent).closest(Selector.NAVBAR_NAV).length) { + + // if mobile we use a backdrop because click events don't delegate + var dropdown = document.createElement('div'); + dropdown.className = ClassName.BACKDROP; + $(dropdown).insertBefore(this); + $(dropdown).on('click', Dropdown._clearMenus); + } + + var relatedTarget = { + relatedTarget: this + }; + var showEvent = $.Event(Event.SHOW, relatedTarget); + + $(parent).trigger(showEvent); + + if (showEvent.isDefaultPrevented()) { + return false; + } + + this.focus(); + this.setAttribute('aria-expanded', true); + + $(parent).toggleClass(ClassName.SHOW); + $(parent).trigger($.Event(Event.SHOWN, relatedTarget)); + + return false; + }; + + Dropdown.prototype.dispose = function dispose() { + $.removeData(this._element, DATA_KEY); + $(this._element).off(EVENT_KEY); + this._element = null; + }; + + // private + + Dropdown.prototype._addEventListeners = function _addEventListeners() { + $(this._element).on(Event.CLICK, this.toggle); + }; + + // static + + Dropdown._jQueryInterface = function _jQueryInterface(config) { + return this.each(function () { + var data = $(this).data(DATA_KEY); + + if (!data) { + data = new Dropdown(this); + $(this).data(DATA_KEY, data); + } + + if (typeof config === 'string') { + if (data[config] === undefined) { + throw new Error('No method named "' + config + '"'); + } + data[config].call(this); + } + }); + }; + + Dropdown._clearMenus = function _clearMenus(event) { + if (event && event.which === RIGHT_MOUSE_BUTTON_WHICH) { + return; + } + + var backdrop = $(Selector.BACKDROP)[0]; + if (backdrop) { + backdrop.parentNode.removeChild(backdrop); + } + + var toggles = $.makeArray($(Selector.DATA_TOGGLE)); + + for (var i = 0; i < toggles.length; i++) { + var parent = Dropdown._getParentFromElement(toggles[i]); + var relatedTarget = { + relatedTarget: toggles[i] + }; + + if (!$(parent).hasClass(ClassName.SHOW)) { + continue; + } + + if (event && (event.type === 'click' && /input|textarea/i.test(event.target.tagName) || event.type === 'focusin') && $.contains(parent, event.target)) { + continue; + } + + var hideEvent = $.Event(Event.HIDE, relatedTarget); + $(parent).trigger(hideEvent); + if (hideEvent.isDefaultPrevented()) { + continue; + } + + toggles[i].setAttribute('aria-expanded', 'false'); + + $(parent).removeClass(ClassName.SHOW).trigger($.Event(Event.HIDDEN, relatedTarget)); + } + }; + + Dropdown._getParentFromElement = function _getParentFromElement(element) { + var parent = void 0; + var selector = Util.getSelectorFromElement(element); + + if (selector) { + parent = $(selector)[0]; + } + + return parent || element.parentNode; + }; + + Dropdown._dataApiKeydownHandler = function _dataApiKeydownHandler(event) { + if (!/(38|40|27|32)/.test(event.which) || /input|textarea/i.test(event.target.tagName)) { + return; + } + + event.preventDefault(); + event.stopPropagation(); + + if (this.disabled || $(this).hasClass(ClassName.DISABLED)) { + return; + } + + var parent = Dropdown._getParentFromElement(this); + var isActive = $(parent).hasClass(ClassName.SHOW); + + if (!isActive && event.which !== ESCAPE_KEYCODE || isActive && event.which === ESCAPE_KEYCODE) { + + if (event.which === ESCAPE_KEYCODE) { + var toggle = $(parent).find(Selector.DATA_TOGGLE)[0]; + $(toggle).trigger('focus'); + } + + $(this).trigger('click'); + return; + } + + var items = $(parent).find(Selector.VISIBLE_ITEMS).get(); + + if (!items.length) { + return; + } + + var index = items.indexOf(event.target); + + if (event.which === ARROW_UP_KEYCODE && index > 0) { + // up + index--; + } + + if (event.which === ARROW_DOWN_KEYCODE && index < items.length - 1) { + // down + index++; + } + + if (index < 0) { + index = 0; + } + + items[index].focus(); + }; + + _createClass(Dropdown, null, [{ + key: 'VERSION', + get: function get() { + return VERSION; + } + }]); + + return Dropdown; + }(); + + /** + * ------------------------------------------------------------------------ + * Data Api implementation + * ------------------------------------------------------------------------ + */ + + $(document).on(Event.KEYDOWN_DATA_API, Selector.DATA_TOGGLE, Dropdown._dataApiKeydownHandler).on(Event.KEYDOWN_DATA_API, Selector.ROLE_MENU, Dropdown._dataApiKeydownHandler).on(Event.KEYDOWN_DATA_API, Selector.ROLE_LISTBOX, Dropdown._dataApiKeydownHandler).on(Event.CLICK_DATA_API + ' ' + Event.FOCUSIN_DATA_API, Dropdown._clearMenus).on(Event.CLICK_DATA_API, Selector.DATA_TOGGLE, Dropdown.prototype.toggle).on(Event.CLICK_DATA_API, Selector.FORM_CHILD, function (e) { + e.stopPropagation(); + }); + + /** + * ------------------------------------------------------------------------ + * jQuery + * ------------------------------------------------------------------------ + */ + + $.fn[NAME] = Dropdown._jQueryInterface; + $.fn[NAME].Constructor = Dropdown; + $.fn[NAME].noConflict = function () { + $.fn[NAME] = JQUERY_NO_CONFLICT; + return Dropdown._jQueryInterface; + }; + + return Dropdown; +}(jQuery); + +/** + * -------------------------------------------------------------------------- + * Bootstrap (v4.0.0-alpha.6): modal.js + * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE) + * -------------------------------------------------------------------------- + */ + +var Modal = function ($) { + + /** + * ------------------------------------------------------------------------ + * Constants + * ------------------------------------------------------------------------ + */ + + var NAME = 'modal'; + var VERSION = '4.0.0-alpha.6'; + var DATA_KEY = 'bs.modal'; + var EVENT_KEY = '.' + DATA_KEY; + var DATA_API_KEY = '.data-api'; + var JQUERY_NO_CONFLICT = $.fn[NAME]; + var TRANSITION_DURATION = 300; + var BACKDROP_TRANSITION_DURATION = 150; + var ESCAPE_KEYCODE = 27; // KeyboardEvent.which value for Escape (Esc) key + + var Default = { + backdrop: true, + keyboard: true, + focus: true, + show: true + }; + + var DefaultType = { + backdrop: '(boolean|string)', + keyboard: 'boolean', + focus: 'boolean', + show: 'boolean' + }; + + var Event = { + HIDE: 'hide' + EVENT_KEY, + HIDDEN: 'hidden' + EVENT_KEY, + SHOW: 'show' + EVENT_KEY, + SHOWN: 'shown' + EVENT_KEY, + FOCUSIN: 'focusin' + EVENT_KEY, + RESIZE: 'resize' + EVENT_KEY, + CLICK_DISMISS: 'click.dismiss' + EVENT_KEY, + KEYDOWN_DISMISS: 'keydown.dismiss' + EVENT_KEY, + MOUSEUP_DISMISS: 'mouseup.dismiss' + EVENT_KEY, + MOUSEDOWN_DISMISS: 'mousedown.dismiss' + EVENT_KEY, + CLICK_DATA_API: 'click' + EVENT_KEY + DATA_API_KEY + }; + + var ClassName = { + SCROLLBAR_MEASURER: 'modal-scrollbar-measure', + BACKDROP: 'modal-backdrop', + OPEN: 'modal-open', + FADE: 'fade', + SHOW: 'show' + }; + + var Selector = { + DIALOG: '.modal-dialog', + DATA_TOGGLE: '[data-toggle="modal"]', + DATA_DISMISS: '[data-dismiss="modal"]', + FIXED_CONTENT: '.fixed-top, .fixed-bottom, .is-fixed, .sticky-top' + }; + + /** + * ------------------------------------------------------------------------ + * Class Definition + * ------------------------------------------------------------------------ + */ + + var Modal = function () { + function Modal(element, config) { + _classCallCheck(this, Modal); + + this._config = this._getConfig(config); + this._element = element; + this._dialog = $(element).find(Selector.DIALOG)[0]; + this._backdrop = null; + this._isShown = false; + this._isBodyOverflowing = false; + this._ignoreBackdropClick = false; + this._isTransitioning = false; + this._originalBodyPadding = 0; + this._scrollbarWidth = 0; + } + + // getters + + // public + + Modal.prototype.toggle = function toggle(relatedTarget) { + return this._isShown ? this.hide() : this.show(relatedTarget); + }; + + Modal.prototype.show = function show(relatedTarget) { + var _this9 = this; + + if (this._isTransitioning) { + throw new Error('Modal is transitioning'); + } + + if (Util.supportsTransitionEnd() && $(this._element).hasClass(ClassName.FADE)) { + this._isTransitioning = true; + } + var showEvent = $.Event(Event.SHOW, { + relatedTarget: relatedTarget + }); + + $(this._element).trigger(showEvent); + + if (this._isShown || showEvent.isDefaultPrevented()) { + return; + } + + this._isShown = true; + + this._checkScrollbar(); + this._setScrollbar(); + + $(document.body).addClass(ClassName.OPEN); + + this._setEscapeEvent(); + this._setResizeEvent(); + + $(this._element).on(Event.CLICK_DISMISS, Selector.DATA_DISMISS, function (event) { + return _this9.hide(event); + }); + + $(this._dialog).on(Event.MOUSEDOWN_DISMISS, function () { + $(_this9._element).one(Event.MOUSEUP_DISMISS, function (event) { + if ($(event.target).is(_this9._element)) { + _this9._ignoreBackdropClick = true; + } + }); + }); + + this._showBackdrop(function () { + return _this9._showElement(relatedTarget); + }); + }; + + Modal.prototype.hide = function hide(event) { + var _this10 = this; + + if (event) { + event.preventDefault(); + } + + if (this._isTransitioning) { + throw new Error('Modal is transitioning'); + } + + var transition = Util.supportsTransitionEnd() && $(this._element).hasClass(ClassName.FADE); + if (transition) { + this._isTransitioning = true; + } + + var hideEvent = $.Event(Event.HIDE); + $(this._element).trigger(hideEvent); + + if (!this._isShown || hideEvent.isDefaultPrevented()) { + return; + } + + this._isShown = false; + + this._setEscapeEvent(); + this._setResizeEvent(); + + $(document).off(Event.FOCUSIN); + + $(this._element).removeClass(ClassName.SHOW); + + $(this._element).off(Event.CLICK_DISMISS); + $(this._dialog).off(Event.MOUSEDOWN_DISMISS); + + if (transition) { + $(this._element).one(Util.TRANSITION_END, function (event) { + return _this10._hideModal(event); + }).emulateTransitionEnd(TRANSITION_DURATION); + } else { + this._hideModal(); + } + }; + + Modal.prototype.dispose = function dispose() { + $.removeData(this._element, DATA_KEY); + + $(window, document, this._element, this._backdrop).off(EVENT_KEY); + + this._config = null; + this._element = null; + this._dialog = null; + this._backdrop = null; + this._isShown = null; + this._isBodyOverflowing = null; + this._ignoreBackdropClick = null; + this._originalBodyPadding = null; + this._scrollbarWidth = null; + }; + + // private + + Modal.prototype._getConfig = function _getConfig(config) { + config = $.extend({}, Default, config); + Util.typeCheckConfig(NAME, config, DefaultType); + return config; + }; + + Modal.prototype._showElement = function _showElement(relatedTarget) { + var _this11 = this; + + var transition = Util.supportsTransitionEnd() && $(this._element).hasClass(ClassName.FADE); + + if (!this._element.parentNode || this._element.parentNode.nodeType !== Node.ELEMENT_NODE) { + // don't move modals dom position + document.body.appendChild(this._element); + } + + this._element.style.display = 'block'; + this._element.removeAttribute('aria-hidden'); + this._element.scrollTop = 0; + + if (transition) { + Util.reflow(this._element); + } + + $(this._element).addClass(ClassName.SHOW); + + if (this._config.focus) { + this._enforceFocus(); + } + + var shownEvent = $.Event(Event.SHOWN, { + relatedTarget: relatedTarget + }); + + var transitionComplete = function transitionComplete() { + if (_this11._config.focus) { + _this11._element.focus(); + } + _this11._isTransitioning = false; + $(_this11._element).trigger(shownEvent); + }; + + if (transition) { + $(this._dialog).one(Util.TRANSITION_END, transitionComplete).emulateTransitionEnd(TRANSITION_DURATION); + } else { + transitionComplete(); + } + }; + + Modal.prototype._enforceFocus = function _enforceFocus() { + var _this12 = this; + + $(document).off(Event.FOCUSIN) // guard against infinite focus loop + .on(Event.FOCUSIN, function (event) { + if (document !== event.target && _this12._element !== event.target && !$(_this12._element).has(event.target).length) { + _this12._element.focus(); + } + }); + }; + + Modal.prototype._setEscapeEvent = function _setEscapeEvent() { + var _this13 = this; + + if (this._isShown && this._config.keyboard) { + $(this._element).on(Event.KEYDOWN_DISMISS, function (event) { + if (event.which === ESCAPE_KEYCODE) { + _this13.hide(); + } + }); + } else if (!this._isShown) { + $(this._element).off(Event.KEYDOWN_DISMISS); + } + }; + + Modal.prototype._setResizeEvent = function _setResizeEvent() { + var _this14 = this; + + if (this._isShown) { + $(window).on(Event.RESIZE, function (event) { + return _this14._handleUpdate(event); + }); + } else { + $(window).off(Event.RESIZE); + } + }; + + Modal.prototype._hideModal = function _hideModal() { + var _this15 = this; + + this._element.style.display = 'none'; + this._element.setAttribute('aria-hidden', 'true'); + this._isTransitioning = false; + this._showBackdrop(function () { + $(document.body).removeClass(ClassName.OPEN); + _this15._resetAdjustments(); + _this15._resetScrollbar(); + $(_this15._element).trigger(Event.HIDDEN); + }); + }; + + Modal.prototype._removeBackdrop = function _removeBackdrop() { + if (this._backdrop) { + $(this._backdrop).remove(); + this._backdrop = null; + } + }; + + Modal.prototype._showBackdrop = function _showBackdrop(callback) { + var _this16 = this; + + var animate = $(this._element).hasClass(ClassName.FADE) ? ClassName.FADE : ''; + + if (this._isShown && this._config.backdrop) { + var doAnimate = Util.supportsTransitionEnd() && animate; + + this._backdrop = document.createElement('div'); + this._backdrop.className = ClassName.BACKDROP; + + if (animate) { + $(this._backdrop).addClass(animate); + } + + $(this._backdrop).appendTo(document.body); + + $(this._element).on(Event.CLICK_DISMISS, function (event) { + if (_this16._ignoreBackdropClick) { + _this16._ignoreBackdropClick = false; + return; + } + if (event.target !== event.currentTarget) { + return; + } + if (_this16._config.backdrop === 'static') { + _this16._element.focus(); + } else { + _this16.hide(); + } + }); + + if (doAnimate) { + Util.reflow(this._backdrop); + } + + $(this._backdrop).addClass(ClassName.SHOW); + + if (!callback) { + return; + } + + if (!doAnimate) { + callback(); + return; + } + + $(this._backdrop).one(Util.TRANSITION_END, callback).emulateTransitionEnd(BACKDROP_TRANSITION_DURATION); + } else if (!this._isShown && this._backdrop) { + $(this._backdrop).removeClass(ClassName.SHOW); + + var callbackRemove = function callbackRemove() { + _this16._removeBackdrop(); + if (callback) { + callback(); + } + }; + + if (Util.supportsTransitionEnd() && $(this._element).hasClass(ClassName.FADE)) { + $(this._backdrop).one(Util.TRANSITION_END, callbackRemove).emulateTransitionEnd(BACKDROP_TRANSITION_DURATION); + } else { + callbackRemove(); + } + } else if (callback) { + callback(); + } + }; + + // ---------------------------------------------------------------------- + // the following methods are used to handle overflowing modals + // todo (fat): these should probably be refactored out of modal.js + // ---------------------------------------------------------------------- + + Modal.prototype._handleUpdate = function _handleUpdate() { + this._adjustDialog(); + }; + + Modal.prototype._adjustDialog = function _adjustDialog() { + var isModalOverflowing = this._element.scrollHeight > document.documentElement.clientHeight; + + if (!this._isBodyOverflowing && isModalOverflowing) { + this._element.style.paddingLeft = this._scrollbarWidth + 'px'; + } + + if (this._isBodyOverflowing && !isModalOverflowing) { + this._element.style.paddingRight = this._scrollbarWidth + 'px'; + } + }; + + Modal.prototype._resetAdjustments = function _resetAdjustments() { + this._element.style.paddingLeft = ''; + this._element.style.paddingRight = ''; + }; + + Modal.prototype._checkScrollbar = function _checkScrollbar() { + this._isBodyOverflowing = document.body.clientWidth < window.innerWidth; + this._scrollbarWidth = this._getScrollbarWidth(); + }; + + Modal.prototype._setScrollbar = function _setScrollbar() { + var bodyPadding = parseInt($(Selector.FIXED_CONTENT).css('padding-right') || 0, 10); + + this._originalBodyPadding = document.body.style.paddingRight || ''; + + if (this._isBodyOverflowing) { + document.body.style.paddingRight = bodyPadding + this._scrollbarWidth + 'px'; + } + }; + + Modal.prototype._resetScrollbar = function _resetScrollbar() { + document.body.style.paddingRight = this._originalBodyPadding; + }; + + Modal.prototype._getScrollbarWidth = function _getScrollbarWidth() { + // thx d.walsh + var scrollDiv = document.createElement('div'); + scrollDiv.className = ClassName.SCROLLBAR_MEASURER; + document.body.appendChild(scrollDiv); + var scrollbarWidth = scrollDiv.offsetWidth - scrollDiv.clientWidth; + document.body.removeChild(scrollDiv); + return scrollbarWidth; + }; + + // static + + Modal._jQueryInterface = function _jQueryInterface(config, relatedTarget) { + return this.each(function () { + var data = $(this).data(DATA_KEY); + var _config = $.extend({}, Modal.Default, $(this).data(), (typeof config === 'undefined' ? 'undefined' : _typeof(config)) === 'object' && config); + + if (!data) { + data = new Modal(this, _config); + $(this).data(DATA_KEY, data); + } + + if (typeof config === 'string') { + if (data[config] === undefined) { + throw new Error('No method named "' + config + '"'); + } + data[config](relatedTarget); + } else if (_config.show) { + data.show(relatedTarget); + } + }); + }; + + _createClass(Modal, null, [{ + key: 'VERSION', + get: function get() { + return VERSION; + } + }, { + key: 'Default', + get: function get() { + return Default; + } + }]); + + return Modal; + }(); + + /** + * ------------------------------------------------------------------------ + * Data Api implementation + * ------------------------------------------------------------------------ + */ + + $(document).on(Event.CLICK_DATA_API, Selector.DATA_TOGGLE, function (event) { + var _this17 = this; + + var target = void 0; + var selector = Util.getSelectorFromElement(this); + + if (selector) { + target = $(selector)[0]; + } + + var config = $(target).data(DATA_KEY) ? 'toggle' : $.extend({}, $(target).data(), $(this).data()); + + if (this.tagName === 'A' || this.tagName === 'AREA') { + event.preventDefault(); + } + + var $target = $(target).one(Event.SHOW, function (showEvent) { + if (showEvent.isDefaultPrevented()) { + // only register focus restorer if modal will actually get shown + return; + } + + $target.one(Event.HIDDEN, function () { + if ($(_this17).is(':visible')) { + _this17.focus(); + } + }); + }); + + Modal._jQueryInterface.call($(target), config, this); + }); + + /** + * ------------------------------------------------------------------------ + * jQuery + * ------------------------------------------------------------------------ + */ + + $.fn[NAME] = Modal._jQueryInterface; + $.fn[NAME].Constructor = Modal; + $.fn[NAME].noConflict = function () { + $.fn[NAME] = JQUERY_NO_CONFLICT; + return Modal._jQueryInterface; + }; + + return Modal; +}(jQuery); + +/** + * -------------------------------------------------------------------------- + * Bootstrap (v4.0.0-alpha.6): scrollspy.js + * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE) + * -------------------------------------------------------------------------- + */ + +var ScrollSpy = function ($) { + + /** + * ------------------------------------------------------------------------ + * Constants + * ------------------------------------------------------------------------ + */ + + var NAME = 'scrollspy'; + var VERSION = '4.0.0-alpha.6'; + var DATA_KEY = 'bs.scrollspy'; + var EVENT_KEY = '.' + DATA_KEY; + var DATA_API_KEY = '.data-api'; + var JQUERY_NO_CONFLICT = $.fn[NAME]; + + var Default = { + offset: 10, + method: 'auto', + target: '' + }; + + var DefaultType = { + offset: 'number', + method: 'string', + target: '(string|element)' + }; + + var Event = { + ACTIVATE: 'activate' + EVENT_KEY, + SCROLL: 'scroll' + EVENT_KEY, + LOAD_DATA_API: 'load' + EVENT_KEY + DATA_API_KEY + }; + + var ClassName = { + DROPDOWN_ITEM: 'dropdown-item', + DROPDOWN_MENU: 'dropdown-menu', + NAV_LINK: 'nav-link', + NAV: 'nav', + ACTIVE: 'active' + }; + + var Selector = { + DATA_SPY: '[data-spy="scroll"]', + ACTIVE: '.active', + LIST_ITEM: '.list-item', + LI: 'li', + LI_DROPDOWN: 'li.dropdown', + NAV_LINKS: '.nav-link', + DROPDOWN: '.dropdown', + DROPDOWN_ITEMS: '.dropdown-item', + DROPDOWN_TOGGLE: '.dropdown-toggle' + }; + + var OffsetMethod = { + OFFSET: 'offset', + POSITION: 'position' + }; + + /** + * ------------------------------------------------------------------------ + * Class Definition + * ------------------------------------------------------------------------ + */ + + var ScrollSpy = function () { + function ScrollSpy(element, config) { + var _this18 = this; + + _classCallCheck(this, ScrollSpy); + + this._element = element; + this._scrollElement = element.tagName === 'BODY' ? window : element; + this._config = this._getConfig(config); + this._selector = this._config.target + ' ' + Selector.NAV_LINKS + ',' + (this._config.target + ' ' + Selector.DROPDOWN_ITEMS); + this._offsets = []; + this._targets = []; + this._activeTarget = null; + this._scrollHeight = 0; + + $(this._scrollElement).on(Event.SCROLL, function (event) { + return _this18._process(event); + }); + + this.refresh(); + this._process(); + } + + // getters + + // public + + ScrollSpy.prototype.refresh = function refresh() { + var _this19 = this; + + var autoMethod = this._scrollElement !== this._scrollElement.window ? OffsetMethod.POSITION : OffsetMethod.OFFSET; + + var offsetMethod = this._config.method === 'auto' ? autoMethod : this._config.method; + + var offsetBase = offsetMethod === OffsetMethod.POSITION ? this._getScrollTop() : 0; + + this._offsets = []; + this._targets = []; + + this._scrollHeight = this._getScrollHeight(); + + var targets = $.makeArray($(this._selector)); + + targets.map(function (element) { + var target = void 0; + var targetSelector = Util.getSelectorFromElement(element); + + if (targetSelector) { + target = $(targetSelector)[0]; + } + + if (target && (target.offsetWidth || target.offsetHeight)) { + // todo (fat): remove sketch reliance on jQuery position/offset + return [$(target)[offsetMethod]().top + offsetBase, targetSelector]; + } + return null; + }).filter(function (item) { + return item; + }).sort(function (a, b) { + return a[0] - b[0]; + }).forEach(function (item) { + _this19._offsets.push(item[0]); + _this19._targets.push(item[1]); + }); + }; + + ScrollSpy.prototype.dispose = function dispose() { + $.removeData(this._element, DATA_KEY); + $(this._scrollElement).off(EVENT_KEY); + + this._element = null; + this._scrollElement = null; + this._config = null; + this._selector = null; + this._offsets = null; + this._targets = null; + this._activeTarget = null; + this._scrollHeight = null; + }; + + // private + + ScrollSpy.prototype._getConfig = function _getConfig(config) { + config = $.extend({}, Default, config); + + if (typeof config.target !== 'string') { + var id = $(config.target).attr('id'); + if (!id) { + id = Util.getUID(NAME); + $(config.target).attr('id', id); + } + config.target = '#' + id; + } + + Util.typeCheckConfig(NAME, config, DefaultType); + + return config; + }; + + ScrollSpy.prototype._getScrollTop = function _getScrollTop() { + return this._scrollElement === window ? this._scrollElement.pageYOffset : this._scrollElement.scrollTop; + }; + + ScrollSpy.prototype._getScrollHeight = function _getScrollHeight() { + return this._scrollElement.scrollHeight || Math.max(document.body.scrollHeight, document.documentElement.scrollHeight); + }; + + ScrollSpy.prototype._getOffsetHeight = function _getOffsetHeight() { + return this._scrollElement === window ? window.innerHeight : this._scrollElement.offsetHeight; + }; + + ScrollSpy.prototype._process = function _process() { + var scrollTop = this._getScrollTop() + this._config.offset; + var scrollHeight = this._getScrollHeight(); + var maxScroll = this._config.offset + scrollHeight - this._getOffsetHeight(); + + if (this._scrollHeight !== scrollHeight) { + this.refresh(); + } + + if (scrollTop >= maxScroll) { + var target = this._targets[this._targets.length - 1]; + + if (this._activeTarget !== target) { + this._activate(target); + } + return; + } + + if (this._activeTarget && scrollTop < this._offsets[0] && this._offsets[0] > 0) { + this._activeTarget = null; + this._clear(); + return; + } + + for (var i = this._offsets.length; i--;) { + var isActiveTarget = this._activeTarget !== this._targets[i] && scrollTop >= this._offsets[i] && (this._offsets[i + 1] === undefined || scrollTop < this._offsets[i + 1]); + + if (isActiveTarget) { + this._activate(this._targets[i]); + } + } + }; + + ScrollSpy.prototype._activate = function _activate(target) { + this._activeTarget = target; + + this._clear(); + + var queries = this._selector.split(','); + queries = queries.map(function (selector) { + return selector + '[data-target="' + target + '"],' + (selector + '[href="' + target + '"]'); + }); + + var $link = $(queries.join(',')); + + if ($link.hasClass(ClassName.DROPDOWN_ITEM)) { + $link.closest(Selector.DROPDOWN).find(Selector.DROPDOWN_TOGGLE).addClass(ClassName.ACTIVE); + $link.addClass(ClassName.ACTIVE); + } else { + // todo (fat) this is kinda sus... + // recursively add actives to tested nav-links + $link.parents(Selector.LI).find('> ' + Selector.NAV_LINKS).addClass(ClassName.ACTIVE); + } + + $(this._scrollElement).trigger(Event.ACTIVATE, { + relatedTarget: target + }); + }; + + ScrollSpy.prototype._clear = function _clear() { + $(this._selector).filter(Selector.ACTIVE).removeClass(ClassName.ACTIVE); + }; + + // static + + ScrollSpy._jQueryInterface = function _jQueryInterface(config) { + return this.each(function () { + var data = $(this).data(DATA_KEY); + var _config = (typeof config === 'undefined' ? 'undefined' : _typeof(config)) === 'object' && config; + + if (!data) { + data = new ScrollSpy(this, _config); + $(this).data(DATA_KEY, data); + } + + if (typeof config === 'string') { + if (data[config] === undefined) { + throw new Error('No method named "' + config + '"'); + } + data[config](); + } + }); + }; + + _createClass(ScrollSpy, null, [{ + key: 'VERSION', + get: function get() { + return VERSION; + } + }, { + key: 'Default', + get: function get() { + return Default; + } + }]); + + return ScrollSpy; + }(); + + /** + * ------------------------------------------------------------------------ + * Data Api implementation + * ------------------------------------------------------------------------ + */ + + $(window).on(Event.LOAD_DATA_API, function () { + var scrollSpys = $.makeArray($(Selector.DATA_SPY)); + + for (var i = scrollSpys.length; i--;) { + var $spy = $(scrollSpys[i]); + ScrollSpy._jQueryInterface.call($spy, $spy.data()); + } + }); + + /** + * ------------------------------------------------------------------------ + * jQuery + * ------------------------------------------------------------------------ + */ + + $.fn[NAME] = ScrollSpy._jQueryInterface; + $.fn[NAME].Constructor = ScrollSpy; + $.fn[NAME].noConflict = function () { + $.fn[NAME] = JQUERY_NO_CONFLICT; + return ScrollSpy._jQueryInterface; + }; + + return ScrollSpy; +}(jQuery); + +/** + * -------------------------------------------------------------------------- + * Bootstrap (v4.0.0-alpha.6): tab.js + * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE) + * -------------------------------------------------------------------------- + */ + +var Tab = function ($) { + + /** + * ------------------------------------------------------------------------ + * Constants + * ------------------------------------------------------------------------ + */ + + var NAME = 'tab'; + var VERSION = '4.0.0-alpha.6'; + var DATA_KEY = 'bs.tab'; + var EVENT_KEY = '.' + DATA_KEY; + var DATA_API_KEY = '.data-api'; + var JQUERY_NO_CONFLICT = $.fn[NAME]; + var TRANSITION_DURATION = 150; + + var Event = { + HIDE: 'hide' + EVENT_KEY, + HIDDEN: 'hidden' + EVENT_KEY, + SHOW: 'show' + EVENT_KEY, + SHOWN: 'shown' + EVENT_KEY, + CLICK_DATA_API: 'click' + EVENT_KEY + DATA_API_KEY + }; + + var ClassName = { + DROPDOWN_MENU: 'dropdown-menu', + ACTIVE: 'active', + DISABLED: 'disabled', + FADE: 'fade', + SHOW: 'show' + }; + + var Selector = { + A: 'a', + LI: 'li', + DROPDOWN: '.dropdown', + LIST: 'ul:not(.dropdown-menu), ol:not(.dropdown-menu), nav:not(.dropdown-menu)', + FADE_CHILD: '> .nav-item .fade, > .fade', + ACTIVE: '.active', + ACTIVE_CHILD: '> .nav-item > .active, > .active', + DATA_TOGGLE: '[data-toggle="tab"], [data-toggle="pill"]', + DROPDOWN_TOGGLE: '.dropdown-toggle', + DROPDOWN_ACTIVE_CHILD: '> .dropdown-menu .active' + }; + + /** + * ------------------------------------------------------------------------ + * Class Definition + * ------------------------------------------------------------------------ + */ + + var Tab = function () { + function Tab(element) { + _classCallCheck(this, Tab); + + this._element = element; + } + + // getters + + // public + + Tab.prototype.show = function show() { + var _this20 = this; + + if (this._element.parentNode && this._element.parentNode.nodeType === Node.ELEMENT_NODE && $(this._element).hasClass(ClassName.ACTIVE) || $(this._element).hasClass(ClassName.DISABLED)) { + return; + } + + var target = void 0; + var previous = void 0; + var listElement = $(this._element).closest(Selector.LIST)[0]; + var selector = Util.getSelectorFromElement(this._element); + + if (listElement) { + previous = $.makeArray($(listElement).find(Selector.ACTIVE)); + previous = previous[previous.length - 1]; + } + + var hideEvent = $.Event(Event.HIDE, { + relatedTarget: this._element + }); + + var showEvent = $.Event(Event.SHOW, { + relatedTarget: previous + }); + + if (previous) { + $(previous).trigger(hideEvent); + } + + $(this._element).trigger(showEvent); + + if (showEvent.isDefaultPrevented() || hideEvent.isDefaultPrevented()) { + return; + } + + if (selector) { + target = $(selector)[0]; + } + + this._activate(this._element, listElement); + + var complete = function complete() { + var hiddenEvent = $.Event(Event.HIDDEN, { + relatedTarget: _this20._element + }); + + var shownEvent = $.Event(Event.SHOWN, { + relatedTarget: previous + }); + + $(previous).trigger(hiddenEvent); + $(_this20._element).trigger(shownEvent); + }; + + if (target) { + this._activate(target, target.parentNode, complete); + } else { + complete(); + } + }; + + Tab.prototype.dispose = function dispose() { + $.removeClass(this._element, DATA_KEY); + this._element = null; + }; + + // private + + Tab.prototype._activate = function _activate(element, container, callback) { + var _this21 = this; + + var active = $(container).find(Selector.ACTIVE_CHILD)[0]; + var isTransitioning = callback && Util.supportsTransitionEnd() && (active && $(active).hasClass(ClassName.FADE) || Boolean($(container).find(Selector.FADE_CHILD)[0])); + + var complete = function complete() { + return _this21._transitionComplete(element, active, isTransitioning, callback); + }; + + if (active && isTransitioning) { + $(active).one(Util.TRANSITION_END, complete).emulateTransitionEnd(TRANSITION_DURATION); + } else { + complete(); + } + + if (active) { + $(active).removeClass(ClassName.SHOW); + } + }; + + Tab.prototype._transitionComplete = function _transitionComplete(element, active, isTransitioning, callback) { + if (active) { + $(active).removeClass(ClassName.ACTIVE); + + var dropdownChild = $(active.parentNode).find(Selector.DROPDOWN_ACTIVE_CHILD)[0]; + + if (dropdownChild) { + $(dropdownChild).removeClass(ClassName.ACTIVE); + } + + active.setAttribute('aria-expanded', false); + } + + $(element).addClass(ClassName.ACTIVE); + element.setAttribute('aria-expanded', true); + + if (isTransitioning) { + Util.reflow(element); + $(element).addClass(ClassName.SHOW); + } else { + $(element).removeClass(ClassName.FADE); + } + + if (element.parentNode && $(element.parentNode).hasClass(ClassName.DROPDOWN_MENU)) { + + var dropdownElement = $(element).closest(Selector.DROPDOWN)[0]; + if (dropdownElement) { + $(dropdownElement).find(Selector.DROPDOWN_TOGGLE).addClass(ClassName.ACTIVE); + } + + element.setAttribute('aria-expanded', true); + } + + if (callback) { + callback(); + } + }; + + // static + + Tab._jQueryInterface = function _jQueryInterface(config) { + return this.each(function () { + var $this = $(this); + var data = $this.data(DATA_KEY); + + if (!data) { + data = new Tab(this); + $this.data(DATA_KEY, data); + } + + if (typeof config === 'string') { + if (data[config] === undefined) { + throw new Error('No method named "' + config + '"'); + } + data[config](); + } + }); + }; + + _createClass(Tab, null, [{ + key: 'VERSION', + get: function get() { + return VERSION; + } + }]); + + return Tab; + }(); + + /** + * ------------------------------------------------------------------------ + * Data Api implementation + * ------------------------------------------------------------------------ + */ + + $(document).on(Event.CLICK_DATA_API, Selector.DATA_TOGGLE, function (event) { + event.preventDefault(); + Tab._jQueryInterface.call($(this), 'show'); + }); + + /** + * ------------------------------------------------------------------------ + * jQuery + * ------------------------------------------------------------------------ + */ + + $.fn[NAME] = Tab._jQueryInterface; + $.fn[NAME].Constructor = Tab; + $.fn[NAME].noConflict = function () { + $.fn[NAME] = JQUERY_NO_CONFLICT; + return Tab._jQueryInterface; + }; + + return Tab; +}(jQuery); + +/* global Tether */ + +/** + * -------------------------------------------------------------------------- + * Bootstrap (v4.0.0-alpha.6): tooltip.js + * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE) + * -------------------------------------------------------------------------- + */ + +var Tooltip = function ($) { + + /** + * Check for Tether dependency + * Tether - http://tether.io/ + */ + if (typeof Tether === 'undefined') { + throw new Error('Bootstrap tooltips require Tether (http://tether.io/)'); + } + + /** + * ------------------------------------------------------------------------ + * Constants + * ------------------------------------------------------------------------ + */ + + var NAME = 'tooltip'; + var VERSION = '4.0.0-alpha.6'; + var DATA_KEY = 'bs.tooltip'; + var EVENT_KEY = '.' + DATA_KEY; + var JQUERY_NO_CONFLICT = $.fn[NAME]; + var TRANSITION_DURATION = 150; + var CLASS_PREFIX = 'bs-tether'; + + var Default = { + animation: true, + template: '

    ', + trigger: 'hover focus', + title: '', + delay: 0, + html: false, + selector: false, + placement: 'top', + offset: '0 0', + constraints: [], + container: false + }; + + var DefaultType = { + animation: 'boolean', + template: 'string', + title: '(string|element|function)', + trigger: 'string', + delay: '(number|object)', + html: 'boolean', + selector: '(string|boolean)', + placement: '(string|function)', + offset: 'string', + constraints: 'array', + container: '(string|element|boolean)' + }; + + var AttachmentMap = { + TOP: 'bottom center', + RIGHT: 'middle left', + BOTTOM: 'top center', + LEFT: 'middle right' + }; + + var HoverState = { + SHOW: 'show', + OUT: 'out' + }; + + var Event = { + HIDE: 'hide' + EVENT_KEY, + HIDDEN: 'hidden' + EVENT_KEY, + SHOW: 'show' + EVENT_KEY, + SHOWN: 'shown' + EVENT_KEY, + INSERTED: 'inserted' + EVENT_KEY, + CLICK: 'click' + EVENT_KEY, + FOCUSIN: 'focusin' + EVENT_KEY, + FOCUSOUT: 'focusout' + EVENT_KEY, + MOUSEENTER: 'mouseenter' + EVENT_KEY, + MOUSELEAVE: 'mouseleave' + EVENT_KEY + }; + + var ClassName = { + FADE: 'fade', + SHOW: 'show' + }; + + var Selector = { + TOOLTIP: '.tooltip', + TOOLTIP_INNER: '.tooltip-inner' + }; + + var TetherClass = { + element: false, + enabled: false + }; + + var Trigger = { + HOVER: 'hover', + FOCUS: 'focus', + CLICK: 'click', + MANUAL: 'manual' + }; + + /** + * ------------------------------------------------------------------------ + * Class Definition + * ------------------------------------------------------------------------ + */ + + var Tooltip = function () { + function Tooltip(element, config) { + _classCallCheck(this, Tooltip); + + // private + this._isEnabled = true; + this._timeout = 0; + this._hoverState = ''; + this._activeTrigger = {}; + this._isTransitioning = false; + this._tether = null; + + // protected + this.element = element; + this.config = this._getConfig(config); + this.tip = null; + + this._setListeners(); + } + + // getters + + // public + + Tooltip.prototype.enable = function enable() { + this._isEnabled = true; + }; + + Tooltip.prototype.disable = function disable() { + this._isEnabled = false; + }; + + Tooltip.prototype.toggleEnabled = function toggleEnabled() { + this._isEnabled = !this._isEnabled; + }; + + Tooltip.prototype.toggle = function toggle(event) { + if (event) { + var dataKey = this.constructor.DATA_KEY; + var context = $(event.currentTarget).data(dataKey); + + if (!context) { + context = new this.constructor(event.currentTarget, this._getDelegateConfig()); + $(event.currentTarget).data(dataKey, context); + } + + context._activeTrigger.click = !context._activeTrigger.click; + + if (context._isWithActiveTrigger()) { + context._enter(null, context); + } else { + context._leave(null, context); + } + } else { + + if ($(this.getTipElement()).hasClass(ClassName.SHOW)) { + this._leave(null, this); + return; + } + + this._enter(null, this); + } + }; + + Tooltip.prototype.dispose = function dispose() { + clearTimeout(this._timeout); + + this.cleanupTether(); + + $.removeData(this.element, this.constructor.DATA_KEY); + + $(this.element).off(this.constructor.EVENT_KEY); + $(this.element).closest('.modal').off('hide.bs.modal'); + + if (this.tip) { + $(this.tip).remove(); + } + + this._isEnabled = null; + this._timeout = null; + this._hoverState = null; + this._activeTrigger = null; + this._tether = null; + + this.element = null; + this.config = null; + this.tip = null; + }; + + Tooltip.prototype.show = function show() { + var _this22 = this; + + if ($(this.element).css('display') === 'none') { + throw new Error('Please use show on visible elements'); + } + + var showEvent = $.Event(this.constructor.Event.SHOW); + if (this.isWithContent() && this._isEnabled) { + if (this._isTransitioning) { + throw new Error('Tooltip is transitioning'); + } + $(this.element).trigger(showEvent); + + var isInTheDom = $.contains(this.element.ownerDocument.documentElement, this.element); + + if (showEvent.isDefaultPrevented() || !isInTheDom) { + return; + } + + var tip = this.getTipElement(); + var tipId = Util.getUID(this.constructor.NAME); + + tip.setAttribute('id', tipId); + this.element.setAttribute('aria-describedby', tipId); + + this.setContent(); + + if (this.config.animation) { + $(tip).addClass(ClassName.FADE); + } + + var placement = typeof this.config.placement === 'function' ? this.config.placement.call(this, tip, this.element) : this.config.placement; + + var attachment = this._getAttachment(placement); + + var container = this.config.container === false ? document.body : $(this.config.container); + + $(tip).data(this.constructor.DATA_KEY, this).appendTo(container); + + $(this.element).trigger(this.constructor.Event.INSERTED); + + this._tether = new Tether({ + attachment: attachment, + element: tip, + target: this.element, + classes: TetherClass, + classPrefix: CLASS_PREFIX, + offset: this.config.offset, + constraints: this.config.constraints, + addTargetClasses: false + }); + + Util.reflow(tip); + this._tether.position(); + + $(tip).addClass(ClassName.SHOW); + + var complete = function complete() { + var prevHoverState = _this22._hoverState; + _this22._hoverState = null; + _this22._isTransitioning = false; + + $(_this22.element).trigger(_this22.constructor.Event.SHOWN); + + if (prevHoverState === HoverState.OUT) { + _this22._leave(null, _this22); + } + }; + + if (Util.supportsTransitionEnd() && $(this.tip).hasClass(ClassName.FADE)) { + this._isTransitioning = true; + $(this.tip).one(Util.TRANSITION_END, complete).emulateTransitionEnd(Tooltip._TRANSITION_DURATION); + return; + } + + complete(); + } + }; + + Tooltip.prototype.hide = function hide(callback) { + var _this23 = this; + + var tip = this.getTipElement(); + var hideEvent = $.Event(this.constructor.Event.HIDE); + if (this._isTransitioning) { + throw new Error('Tooltip is transitioning'); + } + var complete = function complete() { + if (_this23._hoverState !== HoverState.SHOW && tip.parentNode) { + tip.parentNode.removeChild(tip); + } + + _this23.element.removeAttribute('aria-describedby'); + $(_this23.element).trigger(_this23.constructor.Event.HIDDEN); + _this23._isTransitioning = false; + _this23.cleanupTether(); + + if (callback) { + callback(); + } + }; + + $(this.element).trigger(hideEvent); + + if (hideEvent.isDefaultPrevented()) { + return; + } + + $(tip).removeClass(ClassName.SHOW); + + this._activeTrigger[Trigger.CLICK] = false; + this._activeTrigger[Trigger.FOCUS] = false; + this._activeTrigger[Trigger.HOVER] = false; + + if (Util.supportsTransitionEnd() && $(this.tip).hasClass(ClassName.FADE)) { + this._isTransitioning = true; + $(tip).one(Util.TRANSITION_END, complete).emulateTransitionEnd(TRANSITION_DURATION); + } else { + complete(); + } + + this._hoverState = ''; + }; + + // protected + + Tooltip.prototype.isWithContent = function isWithContent() { + return Boolean(this.getTitle()); + }; + + Tooltip.prototype.getTipElement = function getTipElement() { + return this.tip = this.tip || $(this.config.template)[0]; + }; + + Tooltip.prototype.setContent = function setContent() { + var $tip = $(this.getTipElement()); + + this.setElementContent($tip.find(Selector.TOOLTIP_INNER), this.getTitle()); + + $tip.removeClass(ClassName.FADE + ' ' + ClassName.SHOW); + + this.cleanupTether(); + }; + + Tooltip.prototype.setElementContent = function setElementContent($element, content) { + var html = this.config.html; + if ((typeof content === 'undefined' ? 'undefined' : _typeof(content)) === 'object' && (content.nodeType || content.jquery)) { + // content is a DOM node or a jQuery + if (html) { + if (!$(content).parent().is($element)) { + $element.empty().append(content); + } + } else { + $element.text($(content).text()); + } + } else { + $element[html ? 'html' : 'text'](content); + } + }; + + Tooltip.prototype.getTitle = function getTitle() { + var title = this.element.getAttribute('data-original-title'); + + if (!title) { + title = typeof this.config.title === 'function' ? this.config.title.call(this.element) : this.config.title; + } + + return title; + }; + + Tooltip.prototype.cleanupTether = function cleanupTether() { + if (this._tether) { + this._tether.destroy(); + } + }; + + // private + + Tooltip.prototype._getAttachment = function _getAttachment(placement) { + return AttachmentMap[placement.toUpperCase()]; + }; + + Tooltip.prototype._setListeners = function _setListeners() { + var _this24 = this; + + var triggers = this.config.trigger.split(' '); + + triggers.forEach(function (trigger) { + if (trigger === 'click') { + $(_this24.element).on(_this24.constructor.Event.CLICK, _this24.config.selector, function (event) { + return _this24.toggle(event); + }); + } else if (trigger !== Trigger.MANUAL) { + var eventIn = trigger === Trigger.HOVER ? _this24.constructor.Event.MOUSEENTER : _this24.constructor.Event.FOCUSIN; + var eventOut = trigger === Trigger.HOVER ? _this24.constructor.Event.MOUSELEAVE : _this24.constructor.Event.FOCUSOUT; + + $(_this24.element).on(eventIn, _this24.config.selector, function (event) { + return _this24._enter(event); + }).on(eventOut, _this24.config.selector, function (event) { + return _this24._leave(event); + }); + } + + $(_this24.element).closest('.modal').on('hide.bs.modal', function () { + return _this24.hide(); + }); + }); + + if (this.config.selector) { + this.config = $.extend({}, this.config, { + trigger: 'manual', + selector: '' + }); + } else { + this._fixTitle(); + } + }; + + Tooltip.prototype._fixTitle = function _fixTitle() { + var titleType = _typeof(this.element.getAttribute('data-original-title')); + if (this.element.getAttribute('title') || titleType !== 'string') { + this.element.setAttribute('data-original-title', this.element.getAttribute('title') || ''); + this.element.setAttribute('title', ''); + } + }; + + Tooltip.prototype._enter = function _enter(event, context) { + var dataKey = this.constructor.DATA_KEY; + + context = context || $(event.currentTarget).data(dataKey); + + if (!context) { + context = new this.constructor(event.currentTarget, this._getDelegateConfig()); + $(event.currentTarget).data(dataKey, context); + } + + if (event) { + context._activeTrigger[event.type === 'focusin' ? Trigger.FOCUS : Trigger.HOVER] = true; + } + + if ($(context.getTipElement()).hasClass(ClassName.SHOW) || context._hoverState === HoverState.SHOW) { + context._hoverState = HoverState.SHOW; + return; + } + + clearTimeout(context._timeout); + + context._hoverState = HoverState.SHOW; + + if (!context.config.delay || !context.config.delay.show) { + context.show(); + return; + } + + context._timeout = setTimeout(function () { + if (context._hoverState === HoverState.SHOW) { + context.show(); + } + }, context.config.delay.show); + }; + + Tooltip.prototype._leave = function _leave(event, context) { + var dataKey = this.constructor.DATA_KEY; + + context = context || $(event.currentTarget).data(dataKey); + + if (!context) { + context = new this.constructor(event.currentTarget, this._getDelegateConfig()); + $(event.currentTarget).data(dataKey, context); + } + + if (event) { + context._activeTrigger[event.type === 'focusout' ? Trigger.FOCUS : Trigger.HOVER] = false; + } + + if (context._isWithActiveTrigger()) { + return; + } + + clearTimeout(context._timeout); + + context._hoverState = HoverState.OUT; + + if (!context.config.delay || !context.config.delay.hide) { + context.hide(); + return; + } + + context._timeout = setTimeout(function () { + if (context._hoverState === HoverState.OUT) { + context.hide(); + } + }, context.config.delay.hide); + }; + + Tooltip.prototype._isWithActiveTrigger = function _isWithActiveTrigger() { + for (var trigger in this._activeTrigger) { + if (this._activeTrigger[trigger]) { + return true; + } + } + + return false; + }; + + Tooltip.prototype._getConfig = function _getConfig(config) { + config = $.extend({}, this.constructor.Default, $(this.element).data(), config); + + if (config.delay && typeof config.delay === 'number') { + config.delay = { + show: config.delay, + hide: config.delay + }; + } + + Util.typeCheckConfig(NAME, config, this.constructor.DefaultType); + + return config; + }; + + Tooltip.prototype._getDelegateConfig = function _getDelegateConfig() { + var config = {}; + + if (this.config) { + for (var key in this.config) { + if (this.constructor.Default[key] !== this.config[key]) { + config[key] = this.config[key]; + } + } + } + + return config; + }; + + // static + + Tooltip._jQueryInterface = function _jQueryInterface(config) { + return this.each(function () { + var data = $(this).data(DATA_KEY); + var _config = (typeof config === 'undefined' ? 'undefined' : _typeof(config)) === 'object' && config; + + if (!data && /dispose|hide/.test(config)) { + return; + } + + if (!data) { + data = new Tooltip(this, _config); + $(this).data(DATA_KEY, data); + } + + if (typeof config === 'string') { + if (data[config] === undefined) { + throw new Error('No method named "' + config + '"'); + } + data[config](); + } + }); + }; + + _createClass(Tooltip, null, [{ + key: 'VERSION', + get: function get() { + return VERSION; + } + }, { + key: 'Default', + get: function get() { + return Default; + } + }, { + key: 'NAME', + get: function get() { + return NAME; + } + }, { + key: 'DATA_KEY', + get: function get() { + return DATA_KEY; + } + }, { + key: 'Event', + get: function get() { + return Event; + } + }, { + key: 'EVENT_KEY', + get: function get() { + return EVENT_KEY; + } + }, { + key: 'DefaultType', + get: function get() { + return DefaultType; + } + }]); + + return Tooltip; + }(); + + /** + * ------------------------------------------------------------------------ + * jQuery + * ------------------------------------------------------------------------ + */ + + $.fn[NAME] = Tooltip._jQueryInterface; + $.fn[NAME].Constructor = Tooltip; + $.fn[NAME].noConflict = function () { + $.fn[NAME] = JQUERY_NO_CONFLICT; + return Tooltip._jQueryInterface; + }; + + return Tooltip; +}(jQuery); + +/** + * -------------------------------------------------------------------------- + * Bootstrap (v4.0.0-alpha.6): popover.js + * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE) + * -------------------------------------------------------------------------- + */ + +var Popover = function ($) { + + /** + * ------------------------------------------------------------------------ + * Constants + * ------------------------------------------------------------------------ + */ + + var NAME = 'popover'; + var VERSION = '4.0.0-alpha.6'; + var DATA_KEY = 'bs.popover'; + var EVENT_KEY = '.' + DATA_KEY; + var JQUERY_NO_CONFLICT = $.fn[NAME]; + + var Default = $.extend({}, Tooltip.Default, { + placement: 'right', + trigger: 'click', + content: '', + template: '' + }); + + var DefaultType = $.extend({}, Tooltip.DefaultType, { + content: '(string|element|function)' + }); + + var ClassName = { + FADE: 'fade', + SHOW: 'show' + }; + + var Selector = { + TITLE: '.popover-title', + CONTENT: '.popover-content' + }; + + var Event = { + HIDE: 'hide' + EVENT_KEY, + HIDDEN: 'hidden' + EVENT_KEY, + SHOW: 'show' + EVENT_KEY, + SHOWN: 'shown' + EVENT_KEY, + INSERTED: 'inserted' + EVENT_KEY, + CLICK: 'click' + EVENT_KEY, + FOCUSIN: 'focusin' + EVENT_KEY, + FOCUSOUT: 'focusout' + EVENT_KEY, + MOUSEENTER: 'mouseenter' + EVENT_KEY, + MOUSELEAVE: 'mouseleave' + EVENT_KEY + }; + + /** + * ------------------------------------------------------------------------ + * Class Definition + * ------------------------------------------------------------------------ + */ + + var Popover = function (_Tooltip) { + _inherits(Popover, _Tooltip); + + function Popover() { + _classCallCheck(this, Popover); + + return _possibleConstructorReturn(this, _Tooltip.apply(this, arguments)); + } + + // overrides + + Popover.prototype.isWithContent = function isWithContent() { + return this.getTitle() || this._getContent(); + }; + + Popover.prototype.getTipElement = function getTipElement() { + return this.tip = this.tip || $(this.config.template)[0]; + }; + + Popover.prototype.setContent = function setContent() { + var $tip = $(this.getTipElement()); + + // we use append for html objects to maintain js events + this.setElementContent($tip.find(Selector.TITLE), this.getTitle()); + this.setElementContent($tip.find(Selector.CONTENT), this._getContent()); + + $tip.removeClass(ClassName.FADE + ' ' + ClassName.SHOW); + + this.cleanupTether(); + }; + + // private + + Popover.prototype._getContent = function _getContent() { + return this.element.getAttribute('data-content') || (typeof this.config.content === 'function' ? this.config.content.call(this.element) : this.config.content); + }; + + // static + + Popover._jQueryInterface = function _jQueryInterface(config) { + return this.each(function () { + var data = $(this).data(DATA_KEY); + var _config = (typeof config === 'undefined' ? 'undefined' : _typeof(config)) === 'object' ? config : null; + + if (!data && /destroy|hide/.test(config)) { + return; + } + + if (!data) { + data = new Popover(this, _config); + $(this).data(DATA_KEY, data); + } + + if (typeof config === 'string') { + if (data[config] === undefined) { + throw new Error('No method named "' + config + '"'); + } + data[config](); + } + }); + }; + + _createClass(Popover, null, [{ + key: 'VERSION', + + + // getters + + get: function get() { + return VERSION; + } + }, { + key: 'Default', + get: function get() { + return Default; + } + }, { + key: 'NAME', + get: function get() { + return NAME; + } + }, { + key: 'DATA_KEY', + get: function get() { + return DATA_KEY; + } + }, { + key: 'Event', + get: function get() { + return Event; + } + }, { + key: 'EVENT_KEY', + get: function get() { + return EVENT_KEY; + } + }, { + key: 'DefaultType', + get: function get() { + return DefaultType; + } + }]); + + return Popover; + }(Tooltip); + + /** + * ------------------------------------------------------------------------ + * jQuery + * ------------------------------------------------------------------------ + */ + + $.fn[NAME] = Popover._jQueryInterface; + $.fn[NAME].Constructor = Popover; + $.fn[NAME].noConflict = function () { + $.fn[NAME] = JQUERY_NO_CONFLICT; + return Popover._jQueryInterface; + }; + + return Popover; +}(jQuery); + +}(); diff --git a/js/bootstrap.min.js b/js/bootstrap.min.js new file mode 100644 index 0000000..d9c72df --- /dev/null +++ b/js/bootstrap.min.js @@ -0,0 +1,7 @@ +/*! + * Bootstrap v4.0.0-alpha.6 (https://getbootstrap.com) + * Copyright 2011-2017 The Bootstrap Authors (https://github.com/twbs/bootstrap/graphs/contributors) + * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE) + */ +if("undefined"==typeof jQuery)throw new Error("Bootstrap's JavaScript requires jQuery. jQuery must be included before Bootstrap's JavaScript.");+function(t){var 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t(document).on(u.CLICK_DATA_API,f.DATA_TOGGLE,function(e){e.preventDefault(),_._jQueryInterface.call(t(this),"show")}),t.fn[e]=_._jQueryInterface,t.fn[e].Constructor=_,t.fn[e].noConflict=function(){return t.fn[e]=h,_._jQueryInterface},_}(jQuery),function(t){if("undefined"==typeof Tether)throw new Error("Bootstrap tooltips require Tether (http://tether.io/)");var e="tooltip",s="4.0.0-alpha.6",a="bs.tooltip",l="."+a,h=t.fn[e],c=150,u="bs-tether",d={animation:!0,template:'',trigger:"hover focus",title:"",delay:0,html:!1,selector:!1,placement:"top",offset:"0 0",constraints:[],container:!1},f={animation:"boolean",template:"string",title:"(string|element|function)",trigger:"string",delay:"(number|object)",html:"boolean",selector:"(string|boolean)",placement:"(string|function)",offset:"string",constraints:"array",container:"(string|element|boolean)"},_={TOP:"bottom center",RIGHT:"middle left",BOTTOM:"top center",LEFT:"middle 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Select the `ML Server` kernel for the Python notebook. + +The notebooks step through all the same steps as described in the [For the Data Scientist](data-scientist.html) page. + + +## Using Jupyter + +To execute the code in a cell, `Shift+Enter` when your cursor is in the cell. Some of the cells may take a minute or two to work, and must be complete before the next cell can execute. You can also select the `Cell>Run All` menu item to execute the entire notebook. diff --git a/local.md b/local.md new file mode 100644 index 0000000..210c4dd --- /dev/null +++ b/local.md @@ -0,0 +1,19 @@ +--- +layout: default +title: Quick Start +--- + +## Quick Start +----------------- + +There are multiple ways you can try this solution package out for yourself. + +* Visit the [Azure AI Gallery]({{ site.aka_url }}) and use the `Deploy` button. All necessary software will be installed and configured for you as well as the initial deployment of the solution. You will be all set to explore the code and [try out the model](jupyter.html) on the deployed virtual machine. + +* For an On-Prem installation: + + * Follow [these instructions](SetupSQL.html) to setup the server. + + * Once the server is configured, use the [PowerShell Instructions](Powershell_Instructions.html) for a quick deployment of the solution. + +* You can then follow the steps in [For the Data Scientist](data-scientist.html) or [For the Database Analyst](dba.html). \ No newline at end of file diff --git a/quick.md b/quick.md new file mode 100644 index 0000000..60145ef --- /dev/null +++ b/quick.md @@ -0,0 +1,16 @@ +--- +layout: default +title: Quick Start +--- + +## Quick Start +----------------- + + There are multiple ways you can try this solution package out for yourself. + +* Visit the [Azure AI Gallery]({{ site.aka_url }}) and use the `Deploy` button. All necessary software will be installed and configured for you as well as the initial deployment of the solution. You will be all set to explore the code and [try out the model](testmodel.html) on the deployed virtual machine. + +* For an On-Prem installation, follow [these instructions](SetupSQL.html) to setup the server. + + * Once the server is configured, you can use the [PowerShell Instructions](Powershell_Instructions.html) for a quick deployment of all tables to your own machine. + diff --git a/sitemap.md b/sitemap.md new file mode 100644 index 0000000..d77b439 --- /dev/null +++ b/sitemap.md @@ -0,0 +1,21 @@ +--- +layout: default +title: Site Map +--- + +## Site Map +----------- + +* [Home](index.html) +* [For the Data Scientist](data-scientist.html) + * [Setup for Local Code Execution](local.html) + * [Using a Jupyter Notebook](jupyter.html) +* [For the Database Analyst](dba.html) +* [Quick Start](quick.html) + * [On-Prem: Setup SQL Server](SetupSQL.html) + * [PowerShell Instructions](Powershell_Instructions.html) + * [Set up Connection between SQL Server and PowerBI](ODBC.html) + * [Input Data](input_data.html) + * [Description of Database Tables](tables.html) + +* [Template Contents](contents.html) \ No newline at end of file diff --git a/stylesheets/bootstrap.min.css b/stylesheets/bootstrap.min.css new file mode 100644 index 0000000..a8da074 --- /dev/null +++ b/stylesheets/bootstrap.min.css @@ -0,0 +1,6 @@ +/*! + * Bootstrap v4.0.0-alpha.6 (https://getbootstrap.com) + * Copyright 2011-2017 The Bootstrap Authors + * Copyright 2011-2017 Twitter, Inc. + * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE) + *//*! normalize.css v5.0.0 | MIT License | github.com/necolas/normalize.css */html{font-family:sans-serif;line-height:1.15;-ms-text-size-adjust:100%;-webkit-text-size-adjust:100%}body{margin:0}article,aside,footer,header,nav,section{display:block}h1{font-size:2em;margin:.67em 0}figcaption,figure,main{display:block}figure{margin:1em 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\ No newline at end of file diff --git a/stylesheets/mystyles.css b/stylesheets/mystyles.css new file mode 100644 index 0000000..8678889 --- /dev/null +++ b/stylesheets/mystyles.css @@ -0,0 +1,69 @@ + +figure { + display: inline-block; +} +.mid td { + vertical-align: middle; +} +img { + height: auto; + max-width: 100%; +} +.toc { + font-size:0.9em; + margin-top:16px; + margin-bottom: 16px; +} +.toc li { + list-style-type:none; + padding:0; + margin-left:0px; + text-align: left; +} +code { + text-align: left; +} +.btn-info { + background-color: #5C2D91; + border-color: #5C2D91; +} +.btn { + border:none; + -webkit-box-shadow:none; + -moz-box-shadow:none; + box-shadow:none; + -webkit-border-radius:3px; + -moz-border-radius:3px; + border-radius:3px; +} +.teal { + color: #5C2D91; +} +h2 { + font-size:1.8rem; + font-weight: 500; +} +h3 { + font-size:1.1rem; + font-weight: 600; +} +a { + color: #5C2D91; + font-weight: 600; +} +body { + font-family: "Segoe UI", Frutiger, "Frutiger Linotype", "Dejavu Sans", "Helvetica Neue", Arial, sans-serif; + margin-top: 20px; + color: #2C3137; + text-align: justify; +} +.details { + font-family: 'Segoe UI Semibold'; + font-size: 12px; + line-height: 14px; + letter-spacing: 0.25px; + text-transform: uppercase; +} +.center { + text-align: center; +} diff --git a/tables.md b/tables.md new file mode 100644 index 0000000..1a21d1d --- /dev/null +++ b/tables.md @@ -0,0 +1,68 @@ +--- +layout: default +title: Description of Database Tables +--- + +## SQL Database Tables and Stored Procedures +----------------------- + +Below are the data tables that you will find in either the `{{ site.db_name }}_R` or `{{ site.db_name }}_Py` databases after deployment. + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    TableDescription
    dbo.Label_NamesNames associated with each of the 20 labels
    dbo.MetricsMetrics for the trained model
    dbo.ModelTrained model
    dbo.News_TestNews items in the test set
    dbo.News_To_ScoreNews items to score
    dbo.News_TrainNews items for training the model
    + +The following stored procedures are used in this solutions in either the `{{ site.db_name }}_R` or `{{ site.db_name }}_Py` databases: + + + + + + + + + + + + + + + + + + + + + +
    Stored ProcedureDescription
    dbo.evaluateEvaluates the performance of the model
    dbo.initial_Run_Once_R
    dbo.initial_Run_Once_Py    		Runs the training workflow natively in SQL for this solution
    dbo.scoreCreates features on the fly for the testing set and makes predictions
    dbo.train_modelCreates features on the fly for the training set and train the multiclass logistic regression model
    \ No newline at end of file From 7b75deb74477e3c1a8d36d5caa2e28bd7cb8a1dc Mon Sep 17 00:00:00 2001 From: Sheri Gilley Date: Thu, 5 Apr 2018 12:12:45 -0500 Subject: [PATCH 02/10] New gh (#2) merge --- _includes/inputdata.html | 2 +- _layouts/default.html | 1 + index.md | 7 +++++-- visualize.md | 20 ++++++++++++++++++++ 4 files changed, 27 insertions(+), 3 deletions(-) create mode 100644 visualize.md diff --git a/_includes/inputdata.html b/_includes/inputdata.html index fddf7f0..3493aa0 100644 --- a/_includes/inputdata.html +++ b/_includes/inputdata.html @@ -1 +1 @@ -This solution uses a preprocessed version of the [NewsGroups20](http://scikit-learn.org/stable/datasets/twenty_newsgroups.html), containing a Subject, a Text, and a Label. It has a similar structure to a support ticket data set which would also have two data fields: Title, and Problem description. Thus, you can easily change this solution to use your support ticket data simply by providing the same structure for the test and train datasets. +This solution uses a preprocessed version of [NewsGroups20](http://scikit-learn.org/stable/datasets/twenty_newsgroups.html), containing a Subject, a Text, and a Label. It has a similar structure to a support ticket data set which would also have two data fields: Title, and Problem description. Thus, you can easily change this solution to use your support ticket data simply by providing the same structure for the test and train datasets. diff --git a/_layouts/default.html b/_layouts/default.html index 8fc9a11..cb1ae91 100644 --- a/_layouts/default.html +++ b/_layouts/default.html @@ -37,6 +37,7 @@

    {{ site.solution_name }}

    Home For the Data Scientist For the Database Analyst + Visualize Results Quick Start
    diff --git a/index.md b/index.md index 27dea53..ce84986 100644 --- a/index.md +++ b/index.md @@ -3,7 +3,8 @@ layout: default title: HOME --- -When a customer sends a support ticket, it is important to route it to the right team to examine the issue and solve it in the fastest way possible. This solution trains a model to classify text data. It uses a preprocessed version of the NewsGroups20, containing a Subject (extracted from the raw text data), a Text, and a Label (20 classes). While this is not support ticket data, it has a similar structure to a support ticket data set which would also have two data fields: Title and Problem description. + +When a customer sends a support ticket, it is important to route it to the right team to examine the issue and solve it in the fastest way possible. This solution trains a model to classify text data. It uses a preprocessed version of [NewsGroups20](http://scikit-learn.org/stable/datasets/twenty_newsgroups.html), containing a Subject (extracted from the raw text data), a Text, and a Label (20 classes). While this is not support ticket data, it has a similar structure to a support ticket data set which would also have two data fields: Title and Problem description. The preprocessed training and testing sets are first uploaded to SQL Server. Text featurization is then defined. It consists of removing punctuation, diacritics, numbers, and predefined stopwords, then hashing the 2-gram words and 3-gram characters. The Subject and Text are featurized separately in order to give the words in the Subject as much weight as those in the Text, which is larger. Treating those two variables separately has proven to increase slightly the models predictive power in our experiments. @@ -13,4 +14,6 @@ For customers who prefer an on-premise solution, the implementation with Microso This solution starts with data stored in SQL Server. The data scientist works from the convenience of an IDE on her client machine, while setting the computation context to SQL. When she is done, her code is operationalized as stored procedures in the SQL Database. -New data is scored using the `score` stored procedure in SQL. You can view the predicted labels in the output table `Predicted_New`, or visualize both test and new data and predicted labels in the {{site.pbix}} file \ No newline at end of file +New data is scored using the `score` stored procedure in SQL. You can view the predicted labels in the output table `Predicted_New`, or visualize both test and new data and predicted labels in the {{site.pbix_name}} file. + + diff --git a/visualize.md b/visualize.md new file mode 100644 index 0000000..d7f21ee --- /dev/null +++ b/visualize.md @@ -0,0 +1,20 @@ +--- +layout: default +title: Visualize Results +--- + +## Visualize Results +---------------------------- +The Power BI file **TextClassification.pbix** included with this solution can be used to visualize how the model performs in classifying new text. + +The report contains a [wordcloud custom visual](https://appsource.microsoft.com/en-us/product/power-bi-visuals/WA104380752?src=office). When you first open the file, you must consent to enable this custom visual. + +On the `Training Summary` tab, you can see the predicted and actual labels for the Test data, along with the Micro Average Accuracy and Macro Average Accuracy values. + + + +On the `Scoring New Text` tab you can view the predicted labels for new text. + + + +The intial version of this file contains cached data. You can refresh the From 6fdd25a72e3bf8ef4da3c63b2c55e82cf576d122 Mon Sep 17 00:00:00 2001 From: sgilley Date: Thu, 5 Apr 2018 12:16:08 -0500 Subject: [PATCH 03/10] update filename --- _includes/finalsteps.md | 4 ++-- index.md | 2 +- visualize.md | 4 ++-- 3 files changed, 5 insertions(+), 5 deletions(-) diff --git a/_includes/finalsteps.md b/_includes/finalsteps.md index 2dddb3a..e7d6f94 100644 --- a/_includes/finalsteps.md +++ b/_includes/finalsteps.md @@ -6,11 +6,11 @@ The Power BI file **TextClassification.pbix** included with this solution can be On the `Training Summary` tab, you can see the predicted and actual labels for the Test data, along with the Micro Average Accuracy and Macro Average Accuracy values. - + On the `Scoring New Text` tab you can view the predicted labels for new text. - + ## Template Contents --------------------- diff --git a/index.md b/index.md index ce84986..e572060 100644 --- a/index.md +++ b/index.md @@ -16,4 +16,4 @@ This solution starts with data stored in SQL Server. The data scientist works f New data is scored using the `score` stored procedure in SQL. You can view the predicted labels in the output table `Predicted_New`, or visualize both test and new data and predicted labels in the {{site.pbix_name}} file. - + diff --git a/visualize.md b/visualize.md index d7f21ee..1845c22 100644 --- a/visualize.md +++ b/visualize.md @@ -11,10 +11,10 @@ The report contains a [wordcloud custom visual](https://appsource.microsoft.com/ On the `Training Summary` tab, you can see the predicted and actual labels for the Test data, along with the Micro Average Accuracy and Macro Average Accuracy values. - + On the `Scoring New Text` tab you can view the predicted labels for new text. - + The intial version of this file contains cached data. 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z_1c~fRdF*F<6A_W?B73mY_FQYVa$R{g3UroLed*NHRj2M46h%mJ?!h*&QF~^aFWp; z0Pvh4OY?mrKSlm&<*EB~dG8 zkr;PUxMq4I{0QKAA8>8FyCE!itoi;F+xBzKKhgVrmOROr6~>l{!y|zHvYaKm*Zk$a z$B=HWQAV)7^w8UnhwzC${utrYGQ34RpTXU@W!^P=9tFpp_~g-86FbuonBKtGnl~I{ zI7@K#o7oz(@#{pQt6QP?bE3WqBr+qEn+rS(;A#E+%Zry3kZ>y@IpJwSSwh1MoV$?T z5EYq7ojFZ;jd2ImI&93+pS2Zd%;QTTTC*q(s^Ks>k$`4@1zhbwj#G2cG0()4AM^|` z@bpVGWEIuvbxI;1Awz(vhGXPM#(!l;$~L@-{9^#`JEx^5+iiaL_DP<@tH2nsU*s~_ z8>hA4-U&D-Kd4u``(20oE0F$h-R(rxfSj6r$JobZTTbl#unvs54uPn+dZl`Uc#u`) zCp-lPVZL~IV6EDYqyJP*x#_ffzq#lc4X$9mC<~pw3g_4uBvAN&nalYHsYl+EEH xh4b}8+EnZnvi`weUg7U0`hz Date: Tue, 24 Apr 2018 09:40:47 -0500 Subject: [PATCH 05/10] update analytics --- _layouts/default.html | 17 ++++++++--------- 1 file changed, 8 insertions(+), 9 deletions(-) diff --git a/_layouts/default.html b/_layouts/default.html index cb1ae91..57bf580 100644 --- a/_layouts/default.html +++ b/_layouts/default.html @@ -70,16 +70,15 @@

    {{ site.solution_name }}

    - + + --> + gtag('config', 'UA-88854735-6'); + From aaed9a4a461de334f2f9073d6ee810622cc4cbaf Mon Sep 17 00:00:00 2001 From: sgilley Date: Thu, 17 May 2018 17:12:21 -0500 Subject: [PATCH 06/10] fix link --- Powershell_Instructions.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Powershell_Instructions.md b/Powershell_Instructions.md index 0d5ca05..a007fcc 100644 --- a/Powershell_Instructions.md +++ b/Powershell_Instructions.md @@ -41,7 +41,7 @@ Running this PowerShell script will create the data tables and stored procedures 1. Install [Git](https://gitforwindows.org/) if it is not already present. During the install, check the box to add LFS support. -2. Download     TextClassificationSetup.ps1 to your computer. +2. Download TextClassificationSetup.ps1 to your computer. 3. Open a command or PowerShell window as Administrator. From 0ccaf77ed37dc5c77f1731350587a24143ea0ab8 Mon Sep 17 00:00:00 2001 From: sgilley Date: Mon, 21 May 2018 09:53:15 -0500 Subject: [PATCH 07/10] rdp issue --- index.md | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/index.md b/index.md index e572060..8e217b5 100644 --- a/index.md +++ b/index.md @@ -2,7 +2,10 @@ layout: default title: HOME --- - +
    +Are you unable to connect to your Virtual Machine? See this important information for +how to resolve. +
    When a customer sends a support ticket, it is important to route it to the right team to examine the issue and solve it in the fastest way possible. This solution trains a model to classify text data. It uses a preprocessed version of [NewsGroups20](http://scikit-learn.org/stable/datasets/twenty_newsgroups.html), containing a Subject (extracted from the raw text data), a Text, and a Label (20 classes). While this is not support ticket data, it has a similar structure to a support ticket data set which would also have two data fields: Title and Problem description. From 3db10e462915686818835d68c96f5d685f70be47 Mon Sep 17 00:00:00 2001 From: Jeroen ter Heerdt Date: Wed, 6 Feb 2019 10:22:31 -0800 Subject: [PATCH 08/10] Updating ghpages --- Powershell_Instructions.md | 3 +-- SetupSQL.md | 4 ++-- _config.yml | 4 +++- _includes/requirements.md | 2 +- data-scientist.md | 2 +- index.md | 2 +- local.md | 2 +- quick.md | 10 ++++++---- 8 files changed, 16 insertions(+), 13 deletions(-) diff --git a/Powershell_Instructions.md b/Powershell_Instructions.md index a007fcc..44e486b 100644 --- a/Powershell_Instructions.md +++ b/Powershell_Instructions.md @@ -19,8 +19,7 @@ title: PowerShell Instructions
    - If you have deployed a VM through the - Azure AI Gallery, all the steps below have already been performed and your database on that machine has all the resulting tables and stored procedures. You can explore this solution in more detail by examining the folders and running Python or stored procedures to re-create the model, or skip to trying out the model in the included [Jupyter notebook](jupyter.html). + If you have deployed a VM using the 'Deploy to Azure' button on the [Quick Start page](quick.html), all the steps below have already been performed and your database on that machine has all the resulting tables and stored procedures. You can explore this solution in more detail by examining the folders and running Python or stored procedures to re-create the model, or skip to trying out the model in the included [Jupyter notebook](jupyter.html).
    diff --git a/SetupSQL.md b/SetupSQL.md index f48d8dd..2c63120 100644 --- a/SetupSQL.md +++ b/SetupSQL.md @@ -16,7 +16,7 @@ title: "On-Prem: Setup SQL Server 2017"
    The instructions on this page will help you to add this solution to your on premises SQL Server 2016 or higher.

    - If you instead would like to try this solution out on a virtual machine, visit the Azure AI Gallery and use the Deploy button. All the configuration described below will be done for you, as well as the initial deployment of the solution.

    + If you instead would like to try this solution out on a virtual machine, visit the [Quick Start page](quick.html) and use the 'Deploy to Azure' button. All the configuration described below will be done for you, as well as the initial deployment of the solution.

    @@ -27,7 +27,7 @@ The rest of this page assumes you are configuring your on premises SQL Server 20 If you need a trial version of SQL Server see [What's New in SQL Server 2017](https://docs.microsoft.com/en-us/sql/sql-server/what-s-new-in-sql-server-2017)for download or VM options. -Complete the steps in the Set up Microsoft Machine Learning Services (In-Database) Instructions. The set up instructions file can found at https://msdn.microsoft.com/en-us/library/mt696069.aspx +Complete the steps in the Set up Microsoft Machine Learning Services (In-Database) Instructions. The set up instructions file can found at https://docs.microsoft.com/en-us/sql/advanced-analytics/install/sql-r-services-windows-install Make sure to install both SQL and Standalone version of R and Python. diff --git a/_config.yml b/_config.yml index d80d395..d4eedfb 100644 --- a/_config.yml +++ b/_config.yml @@ -1,7 +1,7 @@ author: name: Microsoft -description: Text Classificaion using SQL Server 2017 + ML Services with R or Python +description: Text Classificaion using SQL Server + ML Services with R or Python # names solution_name: TextClassification folder_name: TextClassification @@ -9,6 +9,8 @@ db_name: TextClassification ps1_name: TextClassificationSetup.ps1 pbix_name: TextClassification.pbix +cig_text: SQL Server VM on Azure +onp_text: SQL Server On-Premises # urls code_url: "https://github.com/Microsoft/ml-server-text-classification" diff --git a/_includes/requirements.md b/_includes/requirements.md index 702cfaa..39eafc8 100644 --- a/_includes/requirements.md +++ b/_includes/requirements.md @@ -2,4 +2,4 @@ Running the R or Python scripts requires the following: * SQL server 2017 with RevoscalePy (version 9.2) and MicrosoftML (version 1.5.0) installed and configured; * SQL Database which the user has write permission and execute stored procedures; -* For more information about Machine Learning Services in SQL Server, please visit: [https://msdn.microsoft.com/en-us/library/mt604847.aspx](https://msdn.microsoft.com/en-us/library/mt604847.aspx) +* For more information about Machine Learning Services in SQL Server, please visit: [https://docs.microsoft.com/en-us/sql/advanced-analytics/what-s-new-in-sql-server-machine-learning-services](https://docs.microsoft.com/en-us/sql/advanced-analytics/what-s-new-in-sql-server-machine-learning-services) diff --git a/data-scientist.md b/data-scientist.md index d1f09f8..831286e 100644 --- a/data-scientist.md +++ b/data-scientist.md @@ -36,7 +36,7 @@ This solution takes advantage of the power of SQL Server and RevoScaleR and Revo All these steps can be executed in a R or Python IDE, and are then operationalized into SQL Server Stored Procedures. Scoring of new data is then performed in SQL Server. -Scientists who are testing and developing solutions can work from the convenience of their preferred IDE on their client machine, while setting the computation context to SQL (see **R** or **Python** folder for code). They can also deploy the completed solutions to SQL Server 2017 by embedding calls to R or Python in stored procedures. These solutions can then be further automated by the use of SQL Server Integration Services and SQL Server agent: a PowerShell script (.ps1 file) automates the running of the SQL code. +Scientists who are testing and developing solutions can work from the convenience of their preferred IDE on their client machine, while setting the computation context to SQL (see **R** or **Python** folder for code). They can also deploy the completed solutions to SQL Server 2017 by embedding calls to R or Python in stored procedures. These solutions can then be further automated by the use of SQL Server Integration Services and SQL Server agent: a PowerShell script (.ps1 file) automates the running of the SQL code. diff --git a/index.md b/index.md index 8e217b5..d4e1646 100644 --- a/index.md +++ b/index.md @@ -15,7 +15,7 @@ A multiclass logistic regression is then trained on the training set, which is f For customers who prefer an on-premise solution, the implementation with Microsoft Machine Learning Services is a great option that takes advantage of the powerful combination of SQL Server and the R and Python languages. We have modeled the steps in the template after a realistic team collaboration on a data science process. Data scientists do the data preparation, model training, and evaluation from their favorite IDE. DBAs can take care of the deployment using SQL stored procedures with embedded code. We also show how each of these steps can be executed on a SQL Server client environment such as SQL Server Management Studio. A Windows PowerShell script that executes the end-to-end setup and modeling process is provided for convenience. -This solution starts with data stored in SQL Server. The data scientist works from the convenience of an IDE on her client machine, while setting the computation context to SQL. When she is done, her code is operationalized as stored procedures in the SQL Database. +This solution starts with data stored in SQL Server. The data scientist works from the convenience of an IDE on her client machine, while setting the computation context to SQL. When she is done, her code is operationalized as stored procedures in the SQL Database. New data is scored using the `score` stored procedure in SQL. You can view the predicted labels in the output table `Predicted_New`, or visualize both test and new data and predicted labels in the {{site.pbix_name}} file. diff --git a/local.md b/local.md index 210c4dd..50af723 100644 --- a/local.md +++ b/local.md @@ -8,7 +8,7 @@ title: Quick Start There are multiple ways you can try this solution package out for yourself. -* Visit the [Azure AI Gallery]({{ site.aka_url }}) and use the `Deploy` button. All necessary software will be installed and configured for you as well as the initial deployment of the solution. You will be all set to explore the code and [try out the model](jupyter.html) on the deployed virtual machine. +* Visit the [Quick Start page](quick.html) and use the `Deploy to Azure` button. All necessary software will be installed and configured for you as well as the initial deployment of the solution. You will be all set to explore the code and [try out the model](jupyter.html) on the deployed virtual machine. * For an On-Prem installation: diff --git a/quick.md b/quick.md index 60145ef..c9f2fe6 100644 --- a/quick.md +++ b/quick.md @@ -8,9 +8,11 @@ title: Quick Start There are multiple ways you can try this solution package out for yourself. -* Visit the [Azure AI Gallery]({{ site.aka_url }}) and use the `Deploy` button. All necessary software will be installed and configured for you as well as the initial deployment of the solution. You will be all set to explore the code and [try out the model](testmodel.html) on the deployed virtual machine. +## {{ site.cig_text }} +* For **{{ site.cig_text }}**: Use the button below to deploy the solution. All necessary software will be installed and configured for you as well as the initial deployment of the solution. You will be all set to explore the code and [try out the model](testmodel.html) on the deployed virtual machine.
    +[![Deploy to Azure (SQL Server)](https://raw.githubusercontent.com/Azure/Azure-CortanaIntelligence-SolutionAuthoringWorkspace/master/docs/images/DeployToAzure.PNG)](https://portal.azure.com/#create/Microsoft.Template/uri/https%3A%2F%2Fraw.githubusercontent.com%2FMicrosoft%2Fml-server-text-classification%2Fmaster%2FArmTemplates%2Ftextclassification_arm.json)
    -* For an On-Prem installation, follow [these instructions](SetupSQL.html) to setup the server. - - * Once the server is configured, you can use the [PowerShell Instructions](Powershell_Instructions.html) for a quick deployment of all tables to your own machine. +## {{ site.onp_text }} +* For an **{{ site.onp_text }}** installation, follow [these instructions](SetupSQL.html) to setup the server. + * Once the server is configured, you can use the [PowerShell Instructions](Powershell_Instructions.html) for a quick deployment of all tables to your own machine. \ No newline at end of file From f038f2298e88c5942ef1cd6c201fd82b02559a27 Mon Sep 17 00:00:00 2001 From: Jeroen ter Heerdt Date: Wed, 6 Feb 2019 10:27:41 -0800 Subject: [PATCH 09/10] Fixing links --- Powershell_Instructions.md | 2 +- SetupSQL.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/Powershell_Instructions.md b/Powershell_Instructions.md index 44e486b..b252682 100644 --- a/Powershell_Instructions.md +++ b/Powershell_Instructions.md @@ -19,7 +19,7 @@ title: PowerShell Instructions
    - If you have deployed a VM using the 'Deploy to Azure' button on the [Quick Start page](quick.html), all the steps below have already been performed and your database on that machine has all the resulting tables and stored procedures. You can explore this solution in more detail by examining the folders and running Python or stored procedures to re-create the model, or skip to trying out the model in the included [Jupyter notebook](jupyter.html). + If you have deployed a VM using the 'Deploy to Azure' button on the Quick Start page, all the steps below have already been performed and your database on that machine has all the resulting tables and stored procedures. You can explore this solution in more detail by examining the folders and running Python or stored procedures to re-create the model, or skip to trying out the model in the included [Jupyter notebook](jupyter.html).
    diff --git a/SetupSQL.md b/SetupSQL.md index 2c63120..d8c5f28 100644 --- a/SetupSQL.md +++ b/SetupSQL.md @@ -16,7 +16,7 @@ title: "On-Prem: Setup SQL Server 2017"
    The instructions on this page will help you to add this solution to your on premises SQL Server 2016 or higher.

    - If you instead would like to try this solution out on a virtual machine, visit the [Quick Start page](quick.html) and use the 'Deploy to Azure' button. All the configuration described below will be done for you, as well as the initial deployment of the solution.

    + If you instead would like to try this solution out on a virtual machine, visit the Quick Start page and use the 'Deploy to Azure' button. All the configuration described below will be done for you, as well as the initial deployment of the solution.

    From 62f47f2881a0f4a7181e7f1cb83aa9cf605f1c4b Mon Sep 17 00:00:00 2001 From: Jeroen ter Heerdt Date: Wed, 6 Feb 2019 10:30:53 -0800 Subject: [PATCH 10/10] Fixing link --- SetupSQL.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/SetupSQL.md b/SetupSQL.md index d8c5f28..a12a1d9 100644 --- a/SetupSQL.md +++ b/SetupSQL.md @@ -25,7 +25,7 @@ title: "On-Prem: Setup SQL Server 2017" The rest of this page assumes you are configuring your on premises SQL Server 2016 or 2017 for this solution. -If you need a trial version of SQL Server see [What's New in SQL Server 2017](https://docs.microsoft.com/en-us/sql/sql-server/what-s-new-in-sql-server-2017)for download or VM options. +If you need a trial version of SQL Server see [What's New in SQL Server 2017](https://docs.microsoft.com/en-us/sql/sql-server/what-s-new-in-sql-server-2017) for download or VM options. Complete the steps in the Set up Microsoft Machine Learning Services (In-Database) Instructions. The set up instructions file can found at https://docs.microsoft.com/en-us/sql/advanced-analytics/install/sql-r-services-windows-install

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