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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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Enable DRF distribution=tweedie option #6556

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

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

We are seeing a new error w/h20=3.36.1.1 when attempting to train a DRF model with distribution=tweedie.

{noformat}    error_url = '/3/ModelBuilders/drf'     msg = 'Illegal argument(s) for DRF model: DRF_model_python_1650295434760_24.  Details: ERRR on field: _distribution: tweedie distribution is not supported for DRF in current H2O.'     dev_msg = 'Illegal argument(s) for DRF model: DRF_model_python_1650295434760_24.  Details: ERRR on field: _distribution: tweedie distribution is not supported for DRF in current H2O.'     http_status = 412{noformat}

 

the docs and git repo still reflect that tweedie is a valid parameter. Customer would like to add this option to work.

[https://docs.h2o.ai/h2o/latest-stable/h2o-py/docs/modeling.html#h2o.estimators.random_forest.H2ORandomForestEstimator.distribution|https://docs.h2o.ai/h2o/latest-stable/h2o-py/docs/modeling.html#h2o.estimators.random_forest.H2ORandomForestEstimator.distribution|smart-link]

h2o-ops commented 1 year ago

JIRA Issue Details

Jira Issue: PUBDEV-8701 Assignee: New H2O Bugs Reporter: Arun Aryasomayajula State: Open Fix Version: N/A Attachments: N/A Development PRs: N/A

wendycwong commented 1 year ago

Would need to add family = tweedie to DRF. @arunaryasomayajula : can you please add support ticket link?