random_forest.hpp File Reference
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Classes

class  RandomForest< FitnessFunction, DimensionSelectionType, NumericSplitType, CategoricalSplitType, UseBootstrap >
 The RandomForest class provides an implementation of random forests, described in Breiman's seminal paper: More...

 

Namespaces

 mlpack
 
Linear algebra utility functions, generally performed on matrices or vectors.
 
 mlpack::tree
 
Trees and tree-building procedures.
 

Typedefs

template
<
typename
FitnessFunction
=
GiniGain
,
typename
DimensionSelectionType
=
MultipleRandomDimensionSelect
,
template
<
typename
>
class
CategoricalSplitType
=
AllCategoricalSplit
>
using ExtraTrees = RandomForest< FitnessFunction, DimensionSelectionType, RandomBinaryNumericSplit, CategoricalSplitType, false >
 Convenience typedef for Extra Trees. More...

 

Detailed Description

Author
Ryan Curtin

Definition of the RandomForest class.

mlpack is free software; you may redistribute it and/or modify it under the terms of the 3-clause BSD license. You should have received a copy of the 3-clause BSD license along with mlpack. If not, see http://www.opensource.org/licenses/BSD-3-Clause for more information.

Definition in file random_forest.hpp.