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update arm template to make workspace sku configurable #283

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merged 2 commits into from
Jun 18, 2020
Merged

update arm template to make workspace sku configurable #283

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9284a6f
update arm template to make workspace sku configurable
mydiemho Jun 16, 2020
6b07ba9
set sku as variable in yaml
mydiemho Jun 16, 2020
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17 changes: 7 additions & 10 deletions .pipelines/diabetes_regression-variables-template.yml
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Original file line number Diff line number Diff line change
@@ -1,8 +1,7 @@
# Pipeline template that defines common runtime environment variables.
variables:

# Source Config
# The directory containing the scripts for training, evaluating, and registering the model
# The directory containing the scripts for training, evaluating, and registering the model
- name: SOURCES_DIR_TRAIN
value: diabetes_regression
# The path to the model training script under SOURCES_DIR_TRAIN
Expand All @@ -23,7 +22,7 @@ variables:
value: mlopspython
- name: DATASET_NAME
value: diabetes_ds
# Uncomment DATASTORE_NAME if you have configured non default datastore to point to your data
# Uncomment DATASTORE_NAME if you have configured non default datastore to point to your data
# - name: DATASTORE_NAME
# value: datablobstore
- name: DATASET_VERSION
Expand All @@ -50,25 +49,23 @@ variables:
# The name for the (docker/webapp) scoring image
- name: IMAGE_NAME
value: "diabetestrained"

# Optional. Used by a training pipeline with R on Databricks
- name: DB_CLUSTER_ID
value: ""

# These are the default values set in ml_service\util\env_variables.py. Uncomment and override if desired.
# Set to false to disable the evaluation step in the ML pipeline and register the newly trained model unconditionally.
# Set to false to disable the evaluation step in the ML pipeline and register the newly trained model unconditionally.
# - name: RUN_EVALUATION
# value: "true"
# Set to false to register the model regardless of the outcome of the evaluation step in the ML pipeline.
# Set to false to register the model regardless of the outcome of the evaluation step in the ML pipeline.
# - name: ALLOW_RUN_CANCEL
# value: "true"

# For debugging deployment issues. Specify a build id with the MODEL_BUILD_ID pipeline variable at queue time
# to skip training and deploy a model registered by a previous build.
# For debugging deployment issues. Specify a build id with the MODEL_BUILD_ID pipeline variable at queue time
# to skip training and deploy a model registered by a previous build.
- name: modelbuildid
value: $[coalesce(variables['MODEL_BUILD_ID'], variables['Build.BuildId'])]


# Flag to allow rebuilding the AML Environment after it was built for the first time. This enables dependency updates from conda_dependencies.yaml.
# - name: AML_REBUILD_ENVIRONMENT
# value: "false"
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