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conda_dependencies.yml
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54 lines (31 loc) · 1.4 KB
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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: project_environment
dependencies:
# The python interpreter version.
# Currently Azure ML Workbench only supports 3.5.2 and later.
- python=3.6.2
# Required by azureml-defaults, installed separately through Conda to
# get a prebuilt version and not require build tools for the install.
- psutil=5.3
- pip:
# Required packages for AzureML execution, history, and data preparation.
- azureml-sdk[notebooks] # add the version to lock it ==0.1.74
- scipy==1.0.0
- scikit-learn==0.21.3
- pandas==0.23.1
- numpy==1.14.5
- joblib==0.13.2
- gunicorn==19.9.0
- flask==1.1.1
- azure-ml-api-sdk