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OTBGUI_TRAINDIMENSIONALITYREDUCTION(1) User Commands OTBGUI_TRAINDIMENSIONALITYREDUCTION(1)

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
June 2018 otbgui_TrainDimensionalityReduction 6.6.0