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Breaking ChangeIssue resolution would not be easily handled by the usual deprecation cycle.Issue resolution would not be easily handled by the usual deprecation cycle.Needs DecisionRequires decisionRequires decisionPerformancecythonmodule:tree
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The features X in our standard decision trees are float32, so it would make sense for the threshold of features to also be float32, see
scikit-learn/sklearn/tree/_tree.pxd
Line 31 in 8ae5f18
| DOUBLE_t threshold # Threshold value at the node |
Note that the Cython trees are expose in our trees, e.g. DecisionTreeRegressor attribute tree_.
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Breaking ChangeIssue resolution would not be easily handled by the usual deprecation cycle.Issue resolution would not be easily handled by the usual deprecation cycle.Needs DecisionRequires decisionRequires decisionPerformancecythonmodule:tree
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Todo