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conda_dependencies.yml
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conda_dependencies.yml
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# Conda environment specification. The dependencies defined in this file will
# be automatically provisioned for managed runs. These include runs against
# the localdocker, remotedocker, and cluster compute targets.
# Note that this file is NOT used to automatically manage dependencies for the
# local compute target. To provision these dependencies locally, run:
# conda env update --file conda_dependencies.yml
# Details about the Conda environment file format:
# https://conda.io/docs/using/envs.html#create-environment-file-by-hand
# For managing Spark packages and configuration, see spark_dependencies.yml.
# Version of this configuration file's structure and semantics in AzureML.
# This directive is stored in a comment to preserve the Conda file structure.
# [AzureMlVersion] = 2
name: diabetes_regression_training_env
dependencies:
# The python interpreter version.
# Currently Azure ML Workbench only supports 3.5.2 and later.
- python=3.7.*
- pip
- pip:
# Base AzureML SDK
- azureml-sdk
# Must match AzureML SDK version.
# https://docs.microsoft.com/en-us/azure/machine-learning/concept-environments
- azureml-defaults
# Training deps
- scikit-learn
# Scoring deps
- inference-schema[numpy-support]
# MLOps with R
- azure-storage-blob