NAME

       otbgui_TrainDimensionalityReduction - OTB TrainDimensionalityReduction application

DESCRIPTION

       This  is  the  Train  Dimensionality Reduction (TrainDimensionalityReduction) application,
       version 6.6.0

       Train a dimensionality reduction model Parameters:

       -io    <group>          Input and output data

       -io.vd                                  <string>         Input  Vector  Data   (mandatory)
       -io.out                                 <string>         Output model  (mandatory)

       -io.stats
              <string>         Input XML image statistics file  (optional, off by default)

       -feat                                    <string  list>     Field  names  to  be  used for
       training.  (mandatory)

       -algorithm
              <string>          algorithm  to  use   for   the   training   [som/autoencoder/pca]
              (mandatory, default value is som)

       -algorithm.som.s
              <string list>    Map size  (optional, off by default, default value is 10

       10 )

       -algorithm.som.n
              <string list>    Neighborhood sizes  (optional, off by default, default value is 3

       3 )

       -algorithm.som.ni
              <int32>          NumberIteration  (optional, off by default, default value is 5)

       -algorithm.som.bi
              <float>          BetaInit  (optional, off by default, default value is 1)

       -algorithm.som.bf
              <float>          BetaFinal  (optional, off by default, default value is 0.1)

       -algorithm.som.iv
              <float>          InitialValue  (optional, off by default, default value is 10)

       -algorithm.autoencoder.nbiter
              <int32>           Maximum number of iterations during training  (mandatory, default
              value is 100)

       -algorithm.autoencoder.nbiterfinetuning <int32>
              Maximum number of iterations during training  (mandatory, default value is 0)

       -algorithm.autoencoder.epsilon
              <float>          Epsilon  (mandatory, default value is 0)

       -algorithm.autoencoder.initfactor
              <float>          Weight initialization factor  (mandatory, default value is 1)

       -algorithm.autoencoder.nbneuron
              <string list>    Size  (mandatory)

       -algorithm.autoencoder.regularization
              <string list>    Strength of the regularization  (mandatory)

       -algorithm.autoencoder.noise
              <string list>    Strength of the noise  (mandatory)

       -algorithm.autoencoder.rho
              <string list>    Sparsity parameter  (mandatory)

       -algorithm.autoencoder.beta
              <string list>    Sparsity regularization strength  (mandatory)

       -algorithm.autoencoder.learningcurve
              <string>         Learning curve  (optional, off by default)

       -algorithm.pca.dim
              <int32>          Dimension of the output of  the  pca  transformation   (mandatory,
              default value is 10)

       -ram   <int32>           Available  RAM  (Mb)  (optional, off by default, default value is
              128)

       -inxml <string>         Load otb application from xml file  (optional, off by default)

       -progress
              <boolean>        Report progress

       -help  <string list>    Display long help (empty list), or help for given parameters keys

       Use -help param1 [... paramN] to see detailed documentation of those parameters.

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