Implement predict_proba for DecisionTreeClassifier (#287)
* Implement predict_proba for DecisionTreeClassifier * Some automated fixes suggested by cargo clippy --fix
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@@ -172,18 +172,14 @@ where
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T: Number + RealNumber,
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M: Array2<T>,
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{
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if let Some(output_matrix) = columns.first().cloned() {
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return Some(
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columns
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.iter()
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.skip(1)
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.fold(output_matrix, |current_matrix, new_colum| {
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current_matrix.h_stack(new_colum)
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}),
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);
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} else {
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None
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}
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columns.first().cloned().map(|output_matrix| {
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columns
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.iter()
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.skip(1)
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.fold(output_matrix, |current_matrix, new_colum| {
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current_matrix.h_stack(new_colum)
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})
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})
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}
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#[cfg(test)]
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