Skip to content
This repository was archived by the owner on Oct 7, 2026. It is now read-only.
This repository was archived by the owner on Oct 7, 2026. It is now read-only.

Package dependency issue #29

Description

@0rangeMan

I am not able to publish the pipeline into ML workspace now with the following package dependencies as specified in the code:

conda_dependencies = CondaDependencies.create(
conda_packages=["cudatoolkit=10.0"],
pip_packages=[
"azure-storage-blob==2.1.0",
"azureml-sdk",
"hickle==3.4.3",
"requests==2.21.0",
"sklearn",
"pandas",
"numpy",
"pillow==6.0.0",
"tensorflow-gpu==1.15",
"keras",
"matplotlib",
"seaborn",
]
)

The pip package dependencies is missing package versions, leads to failure while publish the pipeline into ML workspace.

A couple of obvious errors:

  1. sklearn is no longer available now
  2. Recurrent layer is not available with latest Tensorflow and Keras

Would be great if the code can be verified with library versions.

Activity

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Type

    No type

    Projects

    No projects

      Milestone

      No milestone

      Relationships

      None yet

      Development

      No branches or pull requests

      Issue actions