MLOpsPython/diabetes_regression/conda_dependencies_scorecopy.yml at master · crypto318/MLOpsPython

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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

# These dependencies are used to create the environment used by the batch score

# copy pipeline step

name: diabetes_regression_score_copy_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==1.27.*

# Score copying deps

- azure-storage-blob