.TH "/var/www/mlpack.ratml.org/mlpack.org/_src/mlpack-3.3.1/src/mlpack/methods/adaboost/adaboost.hpp" 3 "Sun Aug 30 2020" "Version 3.1.1" "mlpack" \" -*- nroff -*-
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.SH NAME
/var/www/mlpack.ratml.org/mlpack.org/_src/mlpack-3.3.1/src/mlpack/methods/adaboost/adaboost.hpp
.SH SYNOPSIS
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.PP
.SS "Classes"

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.RI "struct \fBversion< mlpack::adaboost::AdaBoost< WeakLearnerType, MatType > >\fP"
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.RI "class \fBAdaBoost< WeakLearnerType, MatType >\fP"
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.RI "The \fBAdaBoost\fP class\&. "
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.SS "Namespaces"

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.RI " \fBboost\fP"
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.RI "Set the serialization version of the adaboost class\&. "
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.RI " \fBboost::serialization\fP"
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.RI " \fBmlpack\fP"
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.RI "strip_type\&.hpp "
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.RI " \fBmlpack::adaboost\fP"
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.SH "Detailed Description"
.PP 

.PP
\fBAuthor:\fP
.RS 4
Udit Saxena
.RE
.PP
The AdaBoost class\&. AdaBoost is a boosting algorithm, meaning that it combines an ensemble of weak learners to produce a strong learner\&. For more information on AdaBoost, see the following paper:
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.PP
.nf
@article{schapire1999improved,
  author = {Schapire, Robert E\&. and Singer, Yoram},
  title = {Improved Boosting Algorithms Using Confidence-rated Predictions},
  journal = {Machine Learning},
  volume = {37},
  number = {3},
  month = dec,
  year = {1999},
  issn = {0885-6125},
  pages = {297--336},
}
.fi
.PP
.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 \fBadaboost\&.hpp\fP\&.
.SH "Author"
.PP 
Generated automatically by Doxygen for mlpack from the source code\&.