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there is a bug for multinomial rfit case reproducible by this:
{code:java} final Frame trainingFrame = parseTestFile("./smalldata/iris/iris_wheader.csv"); Scope.track(trainingFrame);
final RuleFitModel.RuleFitParameters ruleFitParameters = new RuleFitModel.RuleFitParameters(); ruleFitParameters._train = trainingFrame._key; ruleFitParameters._distribution = DistributionFamily.laplace; ruleFitParameters._response_column = "class"; ruleFitParameters._seed = 0XFEED; ruleFitParameters._model_type = RuleFitModel.ModelType.RULES_AND_LINEAR; ruleFitParameters._max_rule_length = 5; ruleFitParameters._min_rule_length = 1; ruleFitParameters._max_num_rules = 1000; final RuleFit ruleFit = new RuleFit(ruleFitParameters); final RuleFitModel ruleFitModel = ruleFit.trainModel().get();
{code}
The text was updated successfully, but these errors were encountered:
Zuzana Olajcová commented: resolved in #5765
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JIRA Issue Details
Jira Issue: PUBDEV-8133 Assignee: Zuzana Olajcová Reporter: Zuzana Olajcová State: Resolved Fix Version: 3.34.0.4 Attachments: N/A Development PRs: Available
Linked PRs from JIRA
#5765 #5831
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there is a bug for multinomial rfit case reproducible by this:
{code:java}
final Frame trainingFrame = parseTestFile("./smalldata/iris/iris_wheader.csv");
Scope.track(trainingFrame);
{code}
The text was updated successfully, but these errors were encountered: