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remove deprecated auto_prepare_environment #667

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Merged
merged 26 commits into from
Nov 21, 2019
Merged

remove deprecated auto_prepare_environment #667

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54c8834
add test service
sdgilley Oct 16, 2018
53199d1
add delete
sdgilley Oct 16, 2018
ce3214b
fix name
sdgilley Oct 16, 2018
96c59d5
testing
sdgilley Oct 17, 2018
111f5e8
playing around
sdgilley Oct 17, 2018
3f531fd
try camelCase
sdgilley Oct 17, 2018
361b57e
change all names to camelCase
sdgilley Oct 17, 2018
23189c6
move folder
sdgilley Oct 17, 2018
716c6d8
add quickstart code
sdgilley Nov 6, 2018
e472b54
Update quickstart.py
sdgilley Dec 17, 2018
73c5d02
Update quickstart.py
sdgilley Dec 17, 2018
da225e1
new code
sdgilley Jan 3, 2019
cc688ca
change names
sdgilley Jan 3, 2019
3c581b5
for local computer
sdgilley Jan 4, 2019
80bba4c
code for amlcompute section
sdgilley Jan 4, 2019
6995c08
change snippet names
sdgilley Jan 4, 2019
732eecf
update names
sdgilley Jan 4, 2019
e3a64b1
code for remote vm
sdgilley Jan 4, 2019
53dbd0a
hdi run config code
sdgilley Jan 7, 2019
c9d018b
remove prepare environment
sdgilley Jan 7, 2019
a9a0713
Delete donotupload.py
sdgilley Jan 7, 2019
fb760f6
Delete temp.py
sdgilley Jan 7, 2019
bedfbd6
fix files
sdgilley Jan 7, 2019
fcbe925
Merge branch 'sdk-codetest' of https://github.com/Azure/MachineLearni…
sdgilley Jan 7, 2019
7db93bc
update comments
sdgilley Jan 22, 2019
57b0f70
remove deprecated auto_prepare_environment
sdgilley Nov 20, 2019
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change snippet names
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@sdgilley
sdgilley committed Jan 4, 2019
commit 6995c086ffad666e7678cb2fb92db7ddc7723ff2
4 changes: 2 additions & 2 deletions ignore/doc-qa/how-to-set-up-training-targets/Local.py
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Original file line number Diff line number Diff line change
Expand Up @@ -5,7 +5,7 @@

print("SDK version:", azureml.core.VERSION)

#<local_env>
#<run_local>
from azureml.core.runconfig import RunConfiguration

# Edit a run configuration property on the fly.
Expand All @@ -15,7 +15,7 @@

# Choose a specific Python environment by pointing to a Python path. For example:
# run_config.environment.python.interpreter_path = '/home/ninghai/miniconda3/envs/sdk2/bin/python'
#</local_env>
#</run_local>

from azureml.core import Workspace
ws = Workspace.from_config()
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4 changes: 2 additions & 2 deletions ignore/doc-qa/how-to-set-up-training-targets/amlcompute.py
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Expand Up @@ -18,7 +18,7 @@
exp = Experiment(workspace=ws, name=experiment_name)


#<amlcompute_temp>
#<run_temp_compute>
from azureml.core.compute import ComputeTarget, AmlCompute

# First, list the supported VM families for Azure Machine Learning Compute
Expand All @@ -34,7 +34,7 @@
# AmlCompute is created in the same region as your workspace
# Set the VM size for AmlCompute from the list of supported_vmsizes
run_temp_compute.amlcompute.vm_size = 'STANDARD_D2_V2'
#</amlcompute_temp>
#</run_temp_compute>


# Submit the experiment using the run configuration
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8 changes: 4 additions & 4 deletions ignore/doc-qa/how-to-set-up-training-targets/amlcompute2.py
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Expand Up @@ -16,7 +16,7 @@

exp = Experiment(workspace=ws, name=experiment_name)

#<cpu_basic>
#<cpu_cluster>
from azureml.core.compute import ComputeTarget, AmlCompute
from azureml.core.compute_target import ComputeTargetException

Expand All @@ -33,9 +33,9 @@
cpu_cluster = ComputeTarget.create(ws, cpu_cluster_name, compute_config)

cpu_cluster.wait_for_completion(show_output=True)
#</cpu_basic>
#</cpu_cluster>

#<aml_runconfig>
#<run_amlcompute>
from azureml.core.runconfig import RunConfiguration
from azureml.core.conda_dependencies import CondaDependencies
from azureml.core.runconfig import DEFAULT_CPU_IMAGE
Expand All @@ -60,7 +60,7 @@

# Specify CondaDependencies obj, add necessary packages
run_amlcompute.environment.python.conda_dependencies = CondaDependencies.create(conda_packages=['scikit-learn'])
#</aml_runconfig>
#</run_amlcompute>

# Submit the experiment using the run configuration
#<amlcompute_submit>
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