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update conda dependencies (#93)
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* update dependencies

* cleanup spaces
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dtzar authored and eedorenko committed Nov 11, 2019
1 parent eb89654 commit fcc6fde
Showing 1 changed file with 9 additions and 27 deletions.
36 changes: 9 additions & 27 deletions code/scoring/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: project_environment
dependencies:
# The python interpreter version.

# Currently Azure ML Workbench only supports 3.5.2 and later.

- python=3.6.2
- python=3.7.5
# Required by azureml-defaults, installed separately through Conda to

# get a prebuilt version and not require build tools for the install.

- psutil=5.3
- psutil=5.6 #latest

- 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
- azureml-sdk==1.0.72
- scipy==1.3.1
- scikit-learn==0.21.3
- pandas==0.23.1
- numpy==1.14.5
- joblib==0.13.2
- gunicorn==19.9.0
- pandas==0.25.3
- numpy==1.17.3
- joblib==0.14.0
- gunicorn==19.9.0
- flask==1.1.1
- azure-ml-api-sdk


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