init

Masterarbeit/openvibe/extras-master/plugins/processing/riemannian/doc/Doc_BoxAlgorithm_CovarianceMatrixCalculator.dox-part

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+/**
+ * \page BoxAlgorithm_CovarianceMatrixCalculator Covariance Matrix Calculator
+__________________________________________________________________
+
+Detailed description
+__________________________________________________________________
+
+ * |OVP_DocBegin_BoxAlgorithm_CovarianceMatrixCalculator_Description|
+The covariance matrix calculator calculates the covariance matrix of each input chunk. The covariance matrix is a square matrix of size NxN with N the number of channels of the input signal.
+ * |OVP_DocEnd_BoxAlgorithm_CovarianceMatrixCalculator_Description|
+__________________________________________________________________
+
+Inputs description
+__________________________________________________________________
+
+ * |OVP_DocBegin_BoxAlgorithm_CovarianceMatrixCalculator_Inputs|
+ * |OVP_DocEnd_BoxAlgorithm_CovarianceMatrixCalculator_Inputs|
+
+ * |OVP_DocBegin_BoxAlgorithm_CovarianceMatrixCalculator_Input1|
+The input signal on which the covariance matrix needs to be calculated.
+ * |OVP_DocEnd_BoxAlgorithm_CovarianceMatrixCalculator_Input1|
+__________________________________________________________________
+
+Outputs description
+__________________________________________________________________
+
+ * |OVP_DocBegin_BoxAlgorithm_CovarianceMatrixCalculator_Outputs|
+ * |OVP_DocEnd_BoxAlgorithm_CovarianceMatrixCalculator_Outputs|
+
+ * |OVP_DocBegin_BoxAlgorithm_CovarianceMatrixCalculator_Output1|
+Covariance Matrix generated.
+ * |OVP_DocEnd_BoxAlgorithm_CovarianceMatrixCalculator_Output1|
+__________________________________________________________________
+
+Settings description
+__________________________________________________________________
+
+ * |OVP_DocBegin_BoxAlgorithm_CovarianceMatrixCalculator_Settings|
+ * |OVP_DocEnd_BoxAlgorithm_CovarianceMatrixCalculator_Settings|
+
+ * |OVP_DocBegin_BoxAlgorithm_CovarianceMatrixCalculator_Setting1|
+Method of calculating the covariance matrix:  \n
+Classical Covariance Estimator \n
+Pearson Correlation Estimator \n
+Ledoit and Wolf Estimator \n
+Oracle Approximating Shrinkage (OAS) Estimator \n
+Sample Covariance Matrix (SCM) Estimator \n
+Identity Matrix  
+ * |OVP_DocEnd_BoxAlgorithm_CovarianceMatrixCalculator_Setting1|
+
+ * |OVP_DocBegin_BoxAlgorithm_CovarianceMatrixCalculator_Setting2|
+Center or not the input data (each channel independently)
+ * |OVP_DocEnd_BoxAlgorithm_CovarianceMatrixCalculator_Setting2|
+
+ * |OVP_DocBegin_BoxAlgorithm_CovarianceMatrixCalculator_Setting3|
+Log Level (None to see nothing)
+ * |OVP_DocEnd_BoxAlgorithm_CovarianceMatrixCalculator_Setting3|
+__________________________________________________________________
+
+Examples description
+__________________________________________________________________
+
+ * |OVP_DocBegin_BoxAlgorithm_CovarianceMatrixCalculator_Examples|
+ * |OVP_DocEnd_BoxAlgorithm_CovarianceMatrixCalculator_Examples|
+__________________________________________________________________
+
+Miscellaneous description
+__________________________________________________________________
+
+ * |OVP_DocBegin_BoxAlgorithm_CovarianceMatrixCalculator_Miscellaneous|
+ * |OVP_DocEnd_BoxAlgorithm_CovarianceMatrixCalculator_Miscellaneous|
+ */

Masterarbeit/openvibe/extras-master/plugins/processing/riemannian/doc/Doc_BoxAlgorithm_CovarianceMatrixToFeatureVector.dox-part

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+/**
+ * \page BoxAlgorithm_CovarianceMatrixToFeatureVector Covariance Matrix To Feature Vector
+__________________________________________________________________
+
+Detailed description
+__________________________________________________________________
+
+ * |OVP_DocBegin_BoxAlgorithm_CovarianceMatrixToFeatureVector_Description|
+This box transforms the matrix into a vector for use in a classic classifier. <see cref="Featurization"/> for more details.
+ * |OVP_DocEnd_BoxAlgorithm_CovarianceMatrixToFeatureVector_Description|
+__________________________________________________________________
+
+Inputs description
+__________________________________________________________________
+
+ * |OVP_DocBegin_BoxAlgorithm_CovarianceMatrixToFeatureVector_Inputs|
+ * |OVP_DocEnd_BoxAlgorithm_CovarianceMatrixToFeatureVector_Inputs|
+
+ * |OVP_DocBegin_BoxAlgorithm_CovarianceMatrixToFeatureVector_Input1|
+The covariance matrix on which the Feature Vector needs to be calculated.
+ * |OVP_DocEnd_BoxAlgorithm_CovarianceMatrixToFeatureVector_Input1|
+__________________________________________________________________
+
+Outputs description
+__________________________________________________________________
+
+ * |OVP_DocBegin_BoxAlgorithm_CovarianceMatrixToFeatureVector_Outputs|
+ * |OVP_DocEnd_BoxAlgorithm_CovarianceMatrixToFeatureVector_Outputs|
+
+ * |OVP_DocBegin_BoxAlgorithm_CovarianceMatrixToFeatureVector_Output1|
+Feature Vector generated.
+ * |OVP_DocEnd_BoxAlgorithm_CovarianceMatrixToFeatureVector_Output1|
+__________________________________________________________________
+
+Settings description
+__________________________________________________________________
+
+ * |OVP_DocBegin_BoxAlgorithm_CovarianceMatrixToFeatureVector_Settings|
+ * |OVP_DocEnd_BoxAlgorithm_CovarianceMatrixToFeatureVector_Settings|
+
+ * |OVP_DocBegin_BoxAlgorithm_CovarianceMatrixToFeatureVector_Setting1|
+Method of calculating the Feature Vector : \n
+\c True : The matrix is transposed into the tangent space. \n  
+\c False : The upper triangular matrix is used. \n
+ * |OVP_DocEnd_BoxAlgorithm_CovarianceMatrixToFeatureVector_Setting1|
+
+ * |OVP_DocBegin_BoxAlgorithm_CovarianceMatrixToFeatureVector_Setting2|
+Link to the Reference Matrix CSV. A square matrix of size NxN with N the number of Features. The reference matrix is the same size as the input covariance matrices. The reference matrix is useful for calculating the feature vector on the tangent space.\nRemarks : If no reference an identity matrix is used.
+ * |OVP_DocEnd_BoxAlgorithm_CovarianceMatrixToFeatureVector_Setting2|
+
+ * |OVP_DocBegin_BoxAlgorithm_CovarianceMatrixToFeatureVector_Setting3|
+Log Level (None to see nothing)
+ * |OVP_DocEnd_BoxAlgorithm_CovarianceMatrixToFeatureVector_Setting3|
+__________________________________________________________________
+
+Examples description
+__________________________________________________________________
+
+ * |OVP_DocBegin_BoxAlgorithm_CovarianceMatrixToFeatureVector_Examples|
+ * |OVP_DocEnd_BoxAlgorithm_CovarianceMatrixToFeatureVector_Examples|
+__________________________________________________________________
+
+Miscellaneous description
+__________________________________________________________________
+
+ * |OVP_DocBegin_BoxAlgorithm_CovarianceMatrixToFeatureVector_Miscellaneous|
+ * |OVP_DocEnd_BoxAlgorithm_CovarianceMatrixToFeatureVector_Miscellaneous|
+ */

Masterarbeit/openvibe/extras-master/plugins/processing/riemannian/doc/Doc_BoxAlgorithm_CovarianceMeanCalculator.dox-part

@@ -0,0 +1,83 @@
+/**
+ * \page BoxAlgorithm_CovarianceMeanCalculator Covariance Mean Calculator
+__________________________________________________________________
+
+Detailed description
+__________________________________________________________________
+
+* |OVP_DocBegin_BoxAlgorithm_CovarianceMeanCalculator_Description|
+Calculation of the mean of covariance matrix.\n
+The Calculation is done when a stimulation is received.\n
+The Mean is saved in a CSV File.
+ * |OVP_DocEnd_BoxAlgorithm_CovarianceMeanCalculator_Description|
+__________________________________________________________________
+
+Inputs description
+__________________________________________________________________
+
+ * |OVP_DocBegin_BoxAlgorithm_CovarianceMeanCalculator_Inputs|
+ * |OVP_DocEnd_BoxAlgorithm_CovarianceMeanCalculator_Inputs|
+
+ * |OVP_DocBegin_BoxAlgorithm_CovarianceMeanCalculator_Input1|
+Stimulation Input
+ * |OVP_DocEnd_BoxAlgorithm_CovarianceMeanCalculator_Input1|
+
+ * |OVP_DocBegin_BoxAlgorithm_CovarianceMeanCalculator_Input2|
+Covariance Matrix Input
+ * |OVP_DocEnd_BoxAlgorithm_CovarianceMeanCalculator_Input2|
+__________________________________________________________________
+
+Outputs description
+__________________________________________________________________
+
+ * |OVP_DocBegin_BoxAlgorithm_CovarianceMeanCalculator_Outputs|
+ * |OVP_DocEnd_BoxAlgorithm_CovarianceMeanCalculator_Outputs|
+
+ * |OVP_DocBegin_BoxAlgorithm_CovarianceMeanCalculator_Output1|
+Mean Computed.
+ * |OVP_DocEnd_BoxAlgorithm_CovarianceMeanCalculator_Output1|
+__________________________________________________________________
+
+Settings description
+__________________________________________________________________
+
+ * |OVP_DocBegin_BoxAlgorithm_CovarianceMeanCalculator_Settings|
+ * |OVP_DocEnd_BoxAlgorithm_CovarianceMeanCalculator_Settings|
+
+ * |OVP_DocBegin_BoxAlgorithm_CovarianceMeanCalculator_Setting1|
+Metric to use for computing the mean : \n
+Riemann\n
+Euclidian\n
+Log-Euclidian\n
+Log-Det\n
+Kullback\n
+Harmonic\n
+Identity Matrix  
+ * |OVP_DocEnd_BoxAlgorithm_CovarianceMeanCalculator_Setting1|
+
+ * |OVP_DocBegin_BoxAlgorithm_CovarianceMeanCalculator_Setting2|
+CSV Filename to save the computed mean.
+ * |OVP_DocEnd_BoxAlgorithm_CovarianceMeanCalculator_Setting2|
+
+ * |OVP_DocBegin_BoxAlgorithm_CovarianceMeanCalculator_Setting3|
+Stimulation that starts the computation.
+ * |OVP_DocEnd_BoxAlgorithm_CovarianceMeanCalculator_Setting3|
+
+ * |OVP_DocBegin_BoxAlgorithm_CovarianceMeanCalculator_Setting4|
+Log Level (None to see nothing)
+ * |OVP_DocEnd_BoxAlgorithm_CovarianceMeanCalculator_Setting4|
+__________________________________________________________________
+
+Examples description
+__________________________________________________________________
+
+ * |OVP_DocBegin_BoxAlgorithm_CovarianceMeanCalculator_Examples|
+ * |OVP_DocEnd_BoxAlgorithm_CovarianceMeanCalculator_Examples|
+__________________________________________________________________
+
+Miscellaneous description
+__________________________________________________________________
+
+ * |OVP_DocBegin_BoxAlgorithm_CovarianceMeanCalculator_Miscellaneous|
+ * |OVP_DocEnd_BoxAlgorithm_CovarianceMeanCalculator_Miscellaneous|
+ */

Masterarbeit/openvibe/extras-master/plugins/processing/riemannian/doc/Doc_BoxAlgorithm_FeatureVectorToCovarianceMatrix.dox-part

@@ -0,0 +1,68 @@
+/**
+ * \page BoxAlgorithm_FeatureVectorToCovarianceMatrix Covariance Matrix To Feature Vector
+__________________________________________________________________
+
+Detailed description
+__________________________________________________________________
+
+ * |OVP_DocBegin_BoxAlgorithm_FeatureVectorToCovarianceMatrix_Description|
+This box transforms the vector into matrix for use in a matrix classifier. <see cref="UnFeaturization"/> for more details.
+ * |OVP_DocEnd_BoxAlgorithm_FeatureVectorToCovarianceMatrix_Description|
+__________________________________________________________________
+
+Inputs description
+__________________________________________________________________
+
+ * |OVP_DocBegin_BoxAlgorithm_FeatureVectorToCovarianceMatrix_Inputs|
+ * |OVP_DocEnd_BoxAlgorithm_FeatureVectorToCovarianceMatrix_Inputs|
+
+ * |OVP_DocBegin_BoxAlgorithm_FeatureVectorToCovarianceMatrix_Input1|
+The Feature Vector on which the Covariance Matrix needs to be calculated.
+ * |OVP_DocEnd_BoxAlgorithm_FeatureVectorToCovarianceMatrix_Input1|
+__________________________________________________________________
+
+Outputs description
+__________________________________________________________________
+
+ * |OVP_DocBegin_BoxAlgorithm_FeatureVectorToCovarianceMatrix_Outputs|
+ * |OVP_DocEnd_BoxAlgorithm_FeatureVectorToCovarianceMatrix_Outputs|
+
+ * |OVP_DocBegin_BoxAlgorithm_FeatureVectorToCovarianceMatrix_Output1|
+ Covariance Matrix generated.
+ * |OVP_DocEnd_BoxAlgorithm_FeatureVectorToCovarianceMatrix_Output1|
+__________________________________________________________________
+
+Settings description
+__________________________________________________________________
+
+ * |OVP_DocBegin_BoxAlgorithm_FeatureVectorToCovarianceMatrix_Settings|
+ * |OVP_DocEnd_BoxAlgorithm_FeatureVectorToCovarianceMatrix_Settings|
+
+ * |OVP_DocBegin_BoxAlgorithm_FeatureVectorToCovarianceMatrix_Setting1|
+Method of calculating the  Covariance Matrix : \n
+\c True : The feature vector is transposed into the tangent space. \n  
+\c False : The upper triangular matrix is used. \n
+ * |OVP_DocEnd_BoxAlgorithm_FeatureVectorToCovarianceMatrix_Setting1|
+
+ * |OVP_DocBegin_BoxAlgorithm_FeatureVectorToCovarianceMatrix_Setting2|
+Link to the Reference Matrix CSV. A square matrix of size NxN with N the number of Features. The reference matrix is the same size as the input covariance matrices. The reference matrix is useful for calculating the feature vector on the tangent space.\nRemarks : If no reference an identity matrix is used.
+ * |OVP_DocEnd_BoxAlgorithm_FeatureVectorToCovarianceMatrix_Setting2|
+
+ * |OVP_DocBegin_BoxAlgorithm_FeatureVectorToCovarianceMatrix_Setting3|
+Log Level (None to see nothing)
+ * |OVP_DocEnd_BoxAlgorithm_FeatureVectorToCovarianceMatrix_Setting3|
+__________________________________________________________________
+
+Examples description
+__________________________________________________________________
+
+ * |OVP_DocBegin_BoxAlgorithm_FeatureVectorToCovarianceMatrix_Examples|
+ * |OVP_DocEnd_BoxAlgorithm_FeatureVectorToCovarianceMatrix_Examples|
+__________________________________________________________________
+
+Miscellaneous description
+__________________________________________________________________
+
+ * |OVP_DocBegin_BoxAlgorithm_FeatureVectorToCovarianceMatrix_Miscellaneous|
+ * |OVP_DocEnd_BoxAlgorithm_FeatureVectorToCovarianceMatrix_Miscellaneous|
+ */

Masterarbeit/openvibe/extras-master/plugins/processing/riemannian/doc/Doc_BoxAlgorithm_MatrixAffineTransformation.dox-part

@@ -0,0 +1,68 @@
+/**
+ * \page BoxAlgorithm_MatrixAffineTransformation Matrix Affine Transformation
+__________________________________________________________________
+
+Detailed description
+__________________________________________________________________
+
+ * |OVP_DocBegin_BoxAlgorithm_MatrixAffineTransformation_Description|
+Compute and Apply the Bias matrix for Affine Transformation on square matrix (isR * M * isR^(-1) = I).  <see cref="CBias"/> for more details.
+You can load an existing bias matrix with the first setting.  
+Continuous update is to update Bias at each chunk or at the end.
+ * |OVP_DocEnd_BoxAlgorithm_MatrixAffineTransformation_Description|
+__________________________________________________________________
+
+Inputs description
+__________________________________________________________________
+
+ * |OVP_DocBegin_BoxAlgorithm_MatrixAffineTransformation_Inputs|
+ * |OVP_DocEnd_BoxAlgorithm_MatrixAffineTransformation_Inputs|
+
+ * |OVP_DocBegin_BoxAlgorithm_MatrixAffineTransformation_Input1|
+Square matrix to transform.
+ * |OVP_DocEnd_BoxAlgorithm_MatrixAffineTransformation_Input1|
+__________________________________________________________________
+
+Outputs description
+__________________________________________________________________
+
+ * |OVP_DocBegin_BoxAlgorithm_MatrixAffineTransformation_Outputs|
+ * |OVP_DocEnd_BoxAlgorithm_MatrixAffineTransformation_Outputs|
+
+ * |OVP_DocBegin_BoxAlgorithm_MatrixAffineTransformation_Output1|
+Transformed Square Matrix
+ * |OVP_DocEnd_BoxAlgorithm_MatrixAffineTransformation_Output1|
+__________________________________________________________________
+
+Settings description
+__________________________________________________________________
+
+ * |OVP_DocBegin_BoxAlgorithm_MatrixAffineTransformation_Settings|
+ * |OVP_DocEnd_BoxAlgorithm_MatrixAffineTransformation_Settings|
+
+ * |OVP_DocBegin_BoxAlgorithm_MatrixAffineTransformation_Setting1|
+Filename with previous computed Bias
+ * |OVP_DocEnd_BoxAlgorithm_MatrixAffineTransformation_Setting1|
+
+ * |OVP_DocBegin_BoxAlgorithm_MatrixAffineTransformation_Setting2|
+Filename to save computed Bias
+ * |OVP_DocEnd_BoxAlgorithm_MatrixAffineTransformation_Setting2|
+
+ * |OVP_DocBegin_BoxAlgorithm_MatrixAffineTransformation_Setting3|
+Update method, continuous to update at each chunk and not continuous to compute bias at the End.
+ * |OVP_DocEnd_BoxAlgorithm_MatrixAffineTransformation_Setting3|
+__________________________________________________________________
+
+Examples description
+__________________________________________________________________
+
+ * |OVP_DocBegin_BoxAlgorithm_MatrixAffineTransformation_Examples|
+ * |OVP_DocEnd_BoxAlgorithm_MatrixAffineTransformation_Examples|
+__________________________________________________________________
+
+Miscellaneous description
+__________________________________________________________________
+
+ * |OVP_DocBegin_BoxAlgorithm_MatrixAffineTransformation_Miscellaneous|
+ * |OVP_DocEnd_BoxAlgorithm_MatrixAffineTransformation_Miscellaneous|
+ */

Masterarbeit/openvibe/extras-master/plugins/processing/riemannian/doc/Doc_BoxAlgorithm_MatrixClassifierProcessor.dox-part

@@ -0,0 +1,71 @@
+/**
+ * \page BoxAlgorithm_MatrixClassifierProcessor Matrix Classifier Processor
+__________________________________________________________________
+
+Detailed description
+__________________________________________________________________
+
+ * |OVP_DocBegin_BoxAlgorithm_MatrixClassifierProcessor_Description|
+Matrix classifier Processor. This box classify input matrix with the loaded classifier model. Actual methods are Minimum Distance to Mean (MDM) and Minimum Distance to Mean with geodesic filtering (FgMDM)\n
+<seealso cref="CMatrixClassifierMDM::classify(const Eigen::MatrixXd&, size_t&, std::vector<double>&, std::vector<double>&)"/> <seealso cref="CMatrixClassifierFgMDM::classify(const Eigen::MatrixXd&, size_t&, std::vector<double>&, std::vector<double>&)"/>
+ * |OVP_DocEnd_BoxAlgorithm_MatrixClassifierProcessor_Description|
+__________________________________________________________________
+
+Inputs description
+__________________________________________________________________
+
+ * |OVP_DocBegin_BoxAlgorithm_MatrixClassifierProcessor_Inputs|
+ * |OVP_DocEnd_BoxAlgorithm_MatrixClassifierProcessor_Inputs|
+
+ * |OVP_DocBegin_BoxAlgorithm_MatrixClassifierProcessor_Input1|
+Matrix to classify.
+ * |OVP_DocEnd_BoxAlgorithm_MatrixClassifierProcessor_Input1|
+__________________________________________________________________
+
+Outputs description
+__________________________________________________________________
+
+ * |OVP_DocBegin_BoxAlgorithm_MatrixClassifierProcessor_Outputs|
+ * |OVP_DocEnd_BoxAlgorithm_MatrixClassifierProcessor_Outputs|
+
+ * |OVP_DocBegin_BoxAlgorithm_MatrixClassifierProcessor_Output1|
+Predicted Class Stimulation
+ * |OVP_DocEnd_BoxAlgorithm_MatrixClassifierProcessor_Output1|
+
+ * |OVP_DocBegin_BoxAlgorithm_MatrixClassifierProcessor_Output2|
+ Distance between each class
+ * |OVP_DocEnd_BoxAlgorithm_MatrixClassifierProcessor_Output2|
+
+ * |OVP_DocBegin_BoxAlgorithm_MatrixClassifierProcessor_Output3|
+ Probability of each class
+ * |OVP_DocEnd_BoxAlgorithm_MatrixClassifierProcessor_Output3|
+__________________________________________________________________
+
+Settings description
+__________________________________________________________________
+
+ * |OVP_DocBegin_BoxAlgorithm_MatrixClassifierProcessor_Settings|
+ * |OVP_DocEnd_BoxAlgorithm_MatrixClassifierProcessor_Settings|
+
+ * |OVP_DocBegin_BoxAlgorithm_MatrixClassifierProcessor_Setting1|
+Classifier model Filename
+ * |OVP_DocEnd_BoxAlgorithm_MatrixClassifierProcessor_Setting1|
+
+ * |OVP_DocBegin_BoxAlgorithm_MatrixClassifierProcessor_Setting2|
+Log Level (None to see nothing)
+ * |OVP_DocEnd_BoxAlgorithm_MatrixClassifierProcessor_Setting2|
+__________________________________________________________________
+
+Examples description
+__________________________________________________________________
+
+ * |OVP_DocBegin_BoxAlgorithm_MatrixClassifierProcessor_Examples|
+ * |OVP_DocEnd_BoxAlgorithm_MatrixClassifierProcessor_Examples|
+__________________________________________________________________
+
+Miscellaneous description
+__________________________________________________________________
+
+ * |OVP_DocBegin_BoxAlgorithm_MatrixClassifierProcessor_Miscellaneous|
+ * |OVP_DocEnd_BoxAlgorithm_MatrixClassifierProcessor_Miscellaneous|
+ */

Masterarbeit/openvibe/extras-master/plugins/processing/riemannian/doc/Doc_BoxAlgorithm_MatrixClassifierTrainer.dox-part

@@ -0,0 +1,95 @@
+/**
+ * \page BoxAlgorithm_MatrixClassifierTrainer Matrix Classifier Trainer
+__________________________________________________________________
+
+Detailed description
+__________________________________________________________________
+
+ * |OVP_DocBegin_BoxAlgorithm_MatrixClassifierTrainer_Description|
+Matrix classifier trainer. This box stack all matrix received in input and launch train function when a stimulation is received. Actual methods are Minimum Distance to Mean (MDM) and Minimum Distance to Mean with geodesic filtering (FgMDM) (With Real Time adaptation assumed) with or without Rebias\n
+<seealso cref="CMatrixClassifierMDM::train"/> <seealso cref="CMatrixClassifierMDMRebias::train"/> <seealso cref="CMatrixClassifierFgMDMRT::train"/> <seealso cref="CMatrixClassifierFgMDMRTRebias::train"/>
+ * |OVP_DocEnd_BoxAlgorithm_MatrixClassifierTrainer_Description|
+__________________________________________________________________
+
+Inputs description
+__________________________________________________________________
+
+ * |OVP_DocBegin_BoxAlgorithm_MatrixClassifierTrainer_Inputs|
+ * |OVP_DocEnd_BoxAlgorithm_MatrixClassifierTrainer_Inputs|
+
+ * |OVP_DocBegin_BoxAlgorithm_MatrixClassifierTrainer_Input1|
+Stimulation to start the training.
+ * |OVP_DocEnd_BoxAlgorithm_MatrixClassifierTrainer_Input1|
+
+ * |OVP_DocBegin_BoxAlgorithm_MatrixClassifierTrainer_Input2|
+Input for Class 1
+ * |OVP_DocEnd_BoxAlgorithm_MatrixClassifierTrainer_Input2|
+
+ * |OVP_DocBegin_BoxAlgorithm_MatrixClassifierTrainer_Input3|
+Input for Class 2
+ * |OVP_DocEnd_BoxAlgorithm_MatrixClassifierTrainer_Input3|
+__________________________________________________________________
+
+Outputs description
+__________________________________________________________________
+
+ * |OVP_DocBegin_BoxAlgorithm_MatrixClassifierTrainer_Outputs|
+ * |OVP_DocEnd_BoxAlgorithm_MatrixClassifierTrainer_Outputs|
+
+ * |OVP_DocBegin_BoxAlgorithm_MatrixClassifierTrainer_Output1|
+Send \"OVTK_StimulationId_TrainCompleted\" when train is completed.
+ * |OVP_DocEnd_BoxAlgorithm_MatrixClassifierTrainer_Output1|
+__________________________________________________________________
+
+Settings description
+__________________________________________________________________
+
+ * |OVP_DocBegin_BoxAlgorithm_MatrixClassifierTrainer_Settings|
+ * |OVP_DocEnd_BoxAlgorithm_MatrixClassifierTrainer_Settings|
+
+ * |OVP_DocBegin_BoxAlgorithm_MatrixClassifierTrainer_Setting1|
+Stimulation that starts the computation.
+ * |OVP_DocEnd_BoxAlgorithm_MatrixClassifierTrainer_Setting1|
+
+ * |OVP_DocBegin_BoxAlgorithm_MatrixClassifierTrainer_Setting2|
+Classifier model Filename
+ * |OVP_DocEnd_BoxAlgorithm_MatrixClassifierTrainer_Setting2|
+
+ * |OVP_DocBegin_BoxAlgorithm_MatrixClassifierTrainer_Setting3|
+Classifier Method :\n
+Minimum Distance to Mean (MDM)\n
+Minimum Distance to Mean Rebias (MDM Rebias)\n
+Minimum Distance to Mean with geodesic filtering (FgMDM)\n
+Minimum Distance to Mean with geodesic filtering Rebias (FgMDM Rebias)
+ * |OVP_DocEnd_BoxAlgorithm_MatrixClassifierTrainer_Setting3|
+
+ * |OVP_DocBegin_BoxAlgorithm_MatrixClassifierTrainer_Setting4|
+Log Level (None to see nothing)
+ * |OVP_DocEnd_BoxAlgorithm_MatrixClassifierTrainer_Setting4|
+
+ * |OVP_DocBegin_BoxAlgorithm_MatrixClassifierTrainer_Setting5|
+Metric to use : Riemman, Euclidian, Harmonic, Identity, Kullback, Log Determinant, Log Euclidian
+ * |OVP_DocEnd_BoxAlgorithm_MatrixClassifierTrainer_Setting5|
+
+ * |OVP_DocBegin_BoxAlgorithm_MatrixClassifierTrainer_Setting6|
+Stimulation for Class 1.
+ * |OVP_DocEnd_BoxAlgorithm_MatrixClassifierTrainer_Setting6|
+
+ * |OVP_DocBegin_BoxAlgorithm_MatrixClassifierTrainer_Setting7|
+Stimulation for Class 2.
+ * |OVP_DocEnd_BoxAlgorithm_MatrixClassifierTrainer_Setting7|
+__________________________________________________________________
+
+Examples description
+__________________________________________________________________
+
+ * |OVP_DocBegin_BoxAlgorithm_MatrixClassifierTrainer_Examples|
+ * |OVP_DocEnd_BoxAlgorithm_MatrixClassifierTrainer_Examples|
+__________________________________________________________________
+
+Miscellaneous description
+__________________________________________________________________
+
+ * |OVP_DocBegin_BoxAlgorithm_MatrixClassifierTrainer_Miscellaneous|
+ * |OVP_DocEnd_BoxAlgorithm_MatrixClassifierTrainer_Miscellaneous|
+ */