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[http://mr-0xg1:8080/blue/organizations/jenkins/h2o-3-benchmark-pipeline/detail/rel-zipf/29/pipeline/201|http://mr-0xg1:8080/blue/organizations/jenkins/h2o-3-benchmark-pipeline/detail/rel-zipf/29/pipe…
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When rfit mojo gets trained, features contains response column.
This is caused by RuleFitMojoModel#nfeatures() what was needed for handling zero weights block in RuleFitMojoModel#score0(). But since …
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Source H2O tutorial: https://docs.h2o.ai/h2o/latest-stable/h2o-docs/data-science/rulefit.html
This PR should replace the current tutorial: https://docs.h2o.ai/sparkling-water/3.1/latest-stable/doc/ml…
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We should add a page on RuleFit to the Supervised algorithms section in the User Guide: [http://docs.h2o.ai/h2o/latest-stable/h2o-docs/data-science.html#supervised|http://docs.h2o.ai/h2o/latest-stable…
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rule_generation_netrees: Specify the number of trees for tree ensemble. Defaults to 50.
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{code:python}
from h2o.estimators import H2ORuleFitEstimator
rfit = H2ORuleFitEstimator(seed=1234, model_type="rules")
rfit.train(training_frame=train, validation_frame=valid, x=x, y=y)
rfit.r…
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Use would like to know which observations.
Example, if rule 1 is “A>5 and B
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Tried getting the rules after fitting the model 'preds = rulefit.predict(X_test)'.
rules = rulefit.get_rules()
But it says - 'RuleFitRegressor' object has no attribute 'get_rules'!
Any idea…
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The supported MOJOs listed are documented in two places and can be confusing.
1 - [https://docs.h2o.ai/h2o/latest-stable/h2o-docs/mojo-quickstart.html#what-is-a-mojo|https://docs.h2o.ai/h2o/latest-sta…