Use correct parameter names in web app deploy (microsoft#202)

Clarify that web app must exist for the deploy to work (microsoft#201)

Add basic descriptions to YAML pipelines (microsoft#200)

* Add basic descriptions to YAML pipelines

* Updated comments to address review feedback

* Add missing feedback fix

fix model input features (microsoft#198)

Co-authored-by: Eugene Fedorenko <[email protected]>

Getting started refactoring (microsoft#197)

* State explicitly the flow order (Template as it is with Diabetes-> Bootstrap with your project code)
* Fix “multistage pipeline structure” explanation
* Clarify the R approach. It has only the model training. There is no evaluation/registration
* Fix the confusion with AzureResourceConnection and WORKSPACE_SVC_CONNECTION
* Explain using of a Docker image in the pipeline
* Link to bring-your-own-code (Bryan’s) article
* Fix broken links (e.g. diabetes_regression-ci-build-train.yml)
* Provide ML Service connection screenshot
* Explain explicit "diabetes" names. (e.g. The repo contains a sample “diabetes regression” project so here and there all names contain "diabetes")
* Clarify the folder structure (Common folders (e.g. .pipelines, ml_service) vs Project folders (e.g. diabetes_regression))

run unit tests in any case (microsoft#199)

Modified to use dataset and pipelinedata (microsoft#193)

* Modified to use dataset and pipelinedata

* Create diabetes dataset if no dataset specified

* Reverted null build_id check

* Added MSE tag

* Reverted logic for NULL Build ID

* Force new model if previous onehas no metric tag

* Removed unused DATA variables

* Removed unused DATA vars

* Updated workaround for non-metric-tagged models

* tidied up code

remove alpha from pipeline parameters (microsoft#169)

No pkl extension requirement for model name (microsoft#164)

Manage environments in conda YAML files (microsoft#158)

* .

* .

* Update code_test.py

* .

* Update Dockerfile

* Do not use conda-merge

* Move all 3 conda files to a single dir
* Do not use conda-merge
* Pin package versions

* PR review fixes

* Update Dockerfile

* PR review fixes

* Update training_dependencies.yml

* Update code_test.py