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105 lines
4.2 KiB
XML
105 lines
4.2 KiB
XML
<root>
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<key>TrainVectorClassifier-bayes</key>
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<exec>otbcli_TrainVectorClassifier</exec>
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<longname>TrainVectorClassifier (bayes)</longname>
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<group>Learning</group>
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<description>Train a classifier based on labeled geometries and a list of features to consider.</description>
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<parameter>
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<parameter_type source_parameter_type="ParameterType_InputVectorData">ParameterVector</parameter_type>
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<key>io.vd</key>
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<name>Input Vector Data</name>
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<description>Input geometries used for training (note : all geometries from the layer will be used)</description>
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<shapetype />
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<optional>False</optional>
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</parameter>
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<parameter>
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<parameter_type source_parameter_type="ParameterType_InputFilename">ParameterFile</parameter_type>
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<key>io.stats</key>
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<name>Input XML image statistics file</name>
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<description>XML file containing mean and variance of each feature.</description>
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<isFolder />
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<optional>True</optional>
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</parameter>
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<parameter>
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<parameter_type source_parameter_type="ParameterType_OutputFilename">OutputFile</parameter_type>
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<key>io.confmatout</key>
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<name>Output confusion matrix</name>
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<description>Output file containing the confusion matrix (.csv format).</description>
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</parameter>
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<parameter>
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<parameter_type source_parameter_type="ParameterType_OutputFilename">OutputFile</parameter_type>
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<key>io.out</key>
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<name>Output model</name>
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<description>Output file containing the model estimated (.txt format).</description>
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</parameter>
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<parameter>
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<parameter_type source_parameter_type="ParameterType_StringList">ParameterString</parameter_type>
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<key>feat</key>
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<name>Field names for training features.</name>
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<description>List of field names in the input vector data to be used as features for training.</description>
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<options />
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<default />
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<optional>False</optional>
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</parameter>
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<parameter>
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<parameter_type source_parameter_type="ParameterType_String">ParameterString</parameter_type>
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<key>cfield</key>
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<name>Field containing the class id for supervision</name>
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<description>Field containing the class id for supervision. Only geometries with this field available will be taken into account.</description>
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<default>class</default>
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<multiline />
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<optional>False</optional>
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</parameter>
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<parameter>
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<parameter_type source_parameter_type="ParameterType_Int">ParameterNumber</parameter_type>
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<key>layer</key>
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<name>Layer Index</name>
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<description>Index of the layer to use in the input vector file.</description>
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<minValue />
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<maxValue />
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<default>0</default>
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<optional>True</optional>
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</parameter>
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<parameter>
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<parameter_type source_parameter_type="ParameterType_InputVectorData">ParameterVector</parameter_type>
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<key>valid.vd</key>
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<name>Validation Vector Data</name>
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<description>Geometries used for validation (must contain the same fields used for training, all geometries from the layer will be used)</description>
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<shapetype />
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<optional>True</optional>
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</parameter>
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<parameter>
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<parameter_type source_parameter_type="ParameterType_Int">ParameterNumber</parameter_type>
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<key>valid.layer</key>
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<name>Layer Index</name>
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<description>Index of the layer to use in the validation vector file.</description>
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<minValue />
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<maxValue />
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<default>0</default>
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<optional>True</optional>
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</parameter>
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<parameter>
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<parameter_type source_parameter_type="ParameterType_Choice">ParameterSelection</parameter_type>
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<key>classifier</key>
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<name>Classifier to use for the training</name>
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<description>Choice of the classifier to use for the training.</description>
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<options>
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<choices>
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<choice>bayes</choice>
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</choices>
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</options>
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<default>0</default>
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<optional>False</optional>
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</parameter>
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<parameter>
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<parameter_type source_parameter_type="ParameterType_Int">ParameterNumber</parameter_type>
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<key>rand</key>
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<name>set user defined seed</name>
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<description>Set specific seed. with integer value.</description>
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<minValue />
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<maxValue />
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<default>0</default>
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<optional>True</optional>
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</parameter>
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</root>
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