H2O-3 HAIC integration into MLOPs

h2oai / h2o-3

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

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H2O-3 HAIC integration into MLOPs #6775

Open exalate-issue-sync[bot] opened 1 year ago

exalate-issue-sync[bot] commented 1 year ago

Wendy Wong commented: !image-20230303-152950.png|width=767,height=1007!

h2o-ops commented 1 year ago

JIRA Issue Details

Jira Issue: PUBDEV-9030 Assignee: Marek Novotny Reporter: Wendy Wong State: Open Fix Version: N/A Attachments: Available (Count: 1) Development PRs: N/A

h2o-ops commented 1 year ago

Attachments From Jira

Attachment Name: image-20230303-152950.png Attached By: Wendy Wong File Link:https://h2o-3-jira-github-migration.s3.amazonaws.com/PUBDEV-9030/image-20230303-152950.png

wendycwong commented 1 year ago

Here is an captured exchange:

wendycwong commented 1 year ago

Current Python client will upload H2O-3 model mojo. Please see this notebook for details: https://github.com/h2oai/model-manager/blob/master/python_client/notebooks/mlops-api-demo.ipynb