.TH "/var/www/mlpack.ratml.org/mlpack.org/_src/mlpack-3.3.0/src/mlpack/methods/decision_tree/decision_tree.hpp" 3 "Mon Aug 31 2020" "Version 3.1.1" "mlpack" \" -*- nroff -*-
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.SH NAME
/var/www/mlpack.ratml.org/mlpack.org/_src/mlpack-3.3.0/src/mlpack/methods/decision_tree/decision_tree.hpp
.SH SYNOPSIS
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.PP
.SS "Classes"

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.RI "class \fBDecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectionType, ElemType, NoRecursion >\fP"
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.RI "This class implements a generic decision tree learner\&. "
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.SS "Namespaces"

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.RI " \fBmlpack\fP"
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.RI "strip_type\&.hpp "
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.RI " \fBmlpack::tree\fP"
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.RI "Trees and tree-building procedures\&. "
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.SS "Typedefs"

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.RI "template<typename FitnessFunction  = GiniGain, template< typename > class NumericSplitType = BestBinaryNumericSplit, template< typename > class CategoricalSplitType = AllCategoricalSplit, typename DimensionSelectType  = AllDimensionSelect, typename ElemType  = double> using \fBDecisionStump\fP = DecisionTree< FitnessFunction, NumericSplitType, CategoricalSplitType, DimensionSelectType, ElemType, false >"
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.RI "Convenience typedef for decision stumps (single level decision trees)\&. "
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.RI "typedef DecisionTree< InformationGain, BestBinaryNumericSplit, AllCategoricalSplit, AllDimensionSelect, double, true > \fBID3DecisionStump\fP"
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.RI "Convenience typedef for ID3 decision stumps (single level decision trees made with the ID3 algorithm)\&. "
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.SH "Detailed Description"
.PP 

.PP
\fBAuthor:\fP
.RS 4
Ryan Curtin
.RE
.PP
A generic decision tree learner\&. Its behavior can be controlled via template arguments\&.
.PP
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\&. 
.PP
Definition in file \fBdecision_tree\&.hpp\fP\&.
.SH "Author"
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Generated automatically by Doxygen for mlpack from the source code\&.