.\" DO NOT MODIFY THIS FILE!  It was generated by help2man 1.47.6.
.TH OTBGUI_TRAINDIMENSIONALITYREDUCTION "1" "June 2018" "otbgui_TrainDimensionalityReduction 6.6.0" "User Commands"
.SH NAME
otbgui_TrainDimensionalityReduction \- OTB TrainDimensionalityReduction application
.SH DESCRIPTION
This is the Train Dimensionality Reduction (TrainDimensionalityReduction) application, version 6.6.0
.PP
Train a dimensionality reduction model
Parameters:
.TP
\fB\-io\fR
<group>          Input and output data
.PP
\fB\-io\fR.vd                                  <string>         Input Vector Data  (mandatory)
\fB\-io\fR.out                                 <string>         Output model  (mandatory)
.TP
\fB\-io\fR.stats
<string>         Input XML image statistics file  (optional, off by default)
.PP
\fB\-feat\fR                                   <string list>    Field names to be used for training.  (mandatory)
.TP
\fB\-algorithm\fR
<string>         algorithm to use for the training [som/autoencoder/pca] (mandatory, default value is som)
.TP
\fB\-algorithm\fR.som.s
<string list>    Map size  (optional, off by default, default value is 10
.PP
10
)
.TP
\fB\-algorithm\fR.som.n
<string list>    Neighborhood sizes  (optional, off by default, default value is 3
.PP
3
)
.TP
\fB\-algorithm\fR.som.ni
<int32>          NumberIteration  (optional, off by default, default value is 5)
.TP
\fB\-algorithm\fR.som.bi
<float>          BetaInit  (optional, off by default, default value is 1)
.TP
\fB\-algorithm\fR.som.bf
<float>          BetaFinal  (optional, off by default, default value is 0.1)
.TP
\fB\-algorithm\fR.som.iv
<float>          InitialValue  (optional, off by default, default value is 10)
.TP
\fB\-algorithm\fR.autoencoder.nbiter
<int32>          Maximum number of iterations during training  (mandatory, default value is 100)
.TP
\fB\-algorithm\fR.autoencoder.nbiterfinetuning <int32>
Maximum number of iterations during training  (mandatory, default value is 0)
.TP
\fB\-algorithm\fR.autoencoder.epsilon
<float>          Epsilon  (mandatory, default value is 0)
.TP
\fB\-algorithm\fR.autoencoder.initfactor
<float>          Weight initialization factor  (mandatory, default value is 1)
.TP
\fB\-algorithm\fR.autoencoder.nbneuron
<string list>    Size  (mandatory)
.TP
\fB\-algorithm\fR.autoencoder.regularization
<string list>    Strength of the regularization  (mandatory)
.TP
\fB\-algorithm\fR.autoencoder.noise
<string list>    Strength of the noise  (mandatory)
.TP
\fB\-algorithm\fR.autoencoder.rho
<string list>    Sparsity parameter  (mandatory)
.TP
\fB\-algorithm\fR.autoencoder.beta
<string list>    Sparsity regularization strength  (mandatory)
.TP
\fB\-algorithm\fR.autoencoder.learningcurve
<string>         Learning curve  (optional, off by default)
.TP
\fB\-algorithm\fR.pca.dim
<int32>          Dimension of the output of the pca transformation  (mandatory, default value is 10)
.TP
\fB\-ram\fR
<int32>          Available RAM (Mb)  (optional, off by default, default value is 128)
.TP
\fB\-inxml\fR
<string>         Load otb application from xml file  (optional, off by default)
.TP
\fB\-progress\fR
<boolean>        Report progress
.TP
\fB\-help\fR
<string list>    Display long help (empty list), or help for given parameters keys
.PP
Use \fB\-help\fR param1 [... paramN] to see detailed documentation of those parameters.
.SH EXAMPLES
otbgui_TrainDimensionalityReduction \-io.vd cuprite_samples.sqlite \-io.out mode.ae \-algorithm pca \-algorithm.pca.dim 8 \-feat value_0 value_1 value_2 value_3 value_4 value_5 value_6 value_7 value_8 value_9