Skip to content

New Feature: Simple Mlflow Integration #119

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 36 commits into from
Apr 7, 2022
Merged

New Feature: Simple Mlflow Integration #119

merged 36 commits into from
Apr 7, 2022

Conversation

smlindauer
Copy link
Collaborator

No description provided.

SophiaRowland and others added 30 commits April 8, 2021 08:23
I am adding a new example notebook that walks through creating models in SWAT and XGBOOST and then using SASCTL and PZMM to create the appropriate metadata before pushing everything into Model Manager. This notebook was designed for Viya 2020 environments.
-Changed /Data to /data
-Swapped code in SWAT Model Manager function with suggested code
Remove 'None' from pzmm.ZipModel.zipFiles() in mm_python() to match changes made in pzmm updates (#87)
Adding missing import statement for Logistic Regression Sklearn package.
Update pzmmCompleteModelExampleMLFlowSklearn.ipynb
I am adding a new example notebook that walks through creating models in SWAT and XGBOOST and then using SASCTL and PZMM to create the appropriate metadata before pushing everything into Model Manager. This notebook was designed for Viya 2020 environments.
-Changed /Data to /data
-Swapped code in SWAT Model Manager function with suggested code
@smlindauer smlindauer self-assigned this Apr 7, 2022
@smlindauer smlindauer merged commit 99294a8 into master Apr 7, 2022
@smlindauer smlindauer deleted the mlflow branch April 7, 2022 18:00
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

2 participants