MLOpsPython/.env.example at master · microsoft/MLOpsPython · GitHub

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# Azure Subscription Variables
SUBSCRIPTION_ID=''
LOCATION=''
TENANT_ID=''
BASE_NAME=''
SP_APP_ID=''
SP_APP_SECRET=''
RESOURCE_GROUP='mlops-RG'

# Mock build/release ID for local testing
BUILD_BUILDID='001'

# Azure ML Workspace Variables
WORKSPACE_NAME='mlops-aml-ws'
EXPERIMENT_NAME='mlopspython'

# AML Compute Cluster Config
AML_ENV_NAME='diabetes_regression_training_env'
AML_ENV_TRAIN_CONDA_DEP_FILE="conda_dependencies.yml"
AML_COMPUTE_CLUSTER_NAME='train-cluster'
AML_COMPUTE_CLUSTER_CPU_SKU='STANDARD_DS2_V2'
AML_CLUSTER_MAX_NODES='4'
AML_CLUSTER_MIN_NODES='0'
AML_CLUSTER_PRIORITY='lowpriority'
# Training Config
MODEL_NAME='diabetes_regression_model.pkl'
MODEL_VERSION='1'
TRAIN_SCRIPT_PATH='training/train_aml.py'


# AML Pipeline Config
TRAINING_PIPELINE_NAME='Training Pipeline'
MODEL_PATH=''
EVALUATE_SCRIPT_PATH='evaluate/evaluate_model.py'
REGISTER_SCRIPT_PATH='register/register_model.py'
SOURCES_DIR_TRAIN='diabetes_regression'
DATASET_NAME='diabetes_ds'
DATASET_VERSION='latest'
# Optional. Set it if you have configured non default datastore to point to your data
DATASTORE_NAME=''
SCORE_SCRIPT='scoring/score.py'

# Optional. Used by a training pipeline with R on Databricks
DB_CLUSTER_ID=''

# Optional. Container Image name for image creation
IMAGE_NAME='mltrained'

# Run Evaluation Step in AML pipeline
RUN_EVALUATION='true'

# Set to true cancels the Azure ML pipeline run when evaluation criteria are not met.
ALLOW_RUN_CANCEL='true'

# Flag to allow rebuilding the AML Environment after it was built for the first time. This enables dependency updates from conda_dependencies.yaml.
AML_REBUILD_ENVIRONMENT='false'


USE_GPU_FOR_SCORING="false"
AML_ENV_SCORE_CONDA_DEP_FILE="conda_dependencies_scoring.yml"
AML_ENV_SCORECOPY_CONDA_DEP_FILE="conda_dependencies_scorecopy.yml"
# AML Compute Cluster Config for parallel batch scoring
AML_ENV_NAME_SCORING='diabetes_regression_scoring_env'
AML_ENV_NAME_SCORE_COPY='diabetes_regression_score_copy_env'
AML_COMPUTE_CLUSTER_NAME_SCORING='score-cluster'
AML_COMPUTE_CLUSTER_CPU_SKU_SCORING='STANDARD_DS2_V2'
AML_CLUSTER_MAX_NODES_SCORING='4'
AML_CLUSTER_MIN_NODES_SCORING='0'
AML_CLUSTER_PRIORITY_SCORING='lowpriority'
AML_REBUILD_ENVIRONMENT_SCORING='true'
BATCHSCORE_SCRIPT_PATH='scoring/parallel_batchscore.py'
BATCHSCORE_COPY_SCRIPT_PATH='scoring/parallel_batchscore_copyoutput.py'


SCORING_DATASTORE_INPUT_CONTAINER='input'
SCORING_DATASTORE_INPUT_FILENAME='diabetes_scoring_input.csv'
SCORING_DATASTORE_OUTPUT_CONTAINER='output'
SCORING_DATASTORE_OUTPUT_FILENAME='diabetes_scoring_output.csv'
SCORING_DATASET_NAME='diabetes_scoring_ds'
SCORING_PIPELINE_NAME='diabetes-scoring-pipeline'