Name
get_class_train_data_mlpget_class_train_data_mlpGetClassTrainDataMlpget_class_train_data_mlpGetClassTrainDataMlpGetClassTrainDataMlp — Get the training data of a multilayer perceptron (MLP).
get_class_train_data_mlpget_class_train_data_mlpGetClassTrainDataMlpget_class_train_data_mlpGetClassTrainDataMlpGetClassTrainDataMlp gets the training data of a
multilayer perceptron (MLP) and returns it in
ClassTrainDataHandleClassTrainDataHandleClassTrainDataHandleClassTrainDataHandleClassTrainDataHandleclassTrainDataHandle.
- Multithreading type: reentrant (runs in parallel with non-exclusive operators).
- Multithreading scope: global (may be called from any thread).
- Processed without parallelization.
This operator returns a handle. Note that the state of an instance of this handle type may be changed by specific operators even though the handle is used as an input parameter by those operators.
Handle of a MLP that contains training data.
Handle of the training data of the classifier.
If the parameters are valid, the operator
get_class_train_data_mlpget_class_train_data_mlpGetClassTrainDataMlpget_class_train_data_mlpGetClassTrainDataMlpGetClassTrainDataMlp
returns the value 2 (H_MSG_TRUE). If necessary, an exception is raised.
add_sample_class_mlpadd_sample_class_mlpAddSampleClassMlpadd_sample_class_mlpAddSampleClassMlpAddSampleClassMlp,
read_samples_class_mlpread_samples_class_mlpReadSamplesClassMlpread_samples_class_mlpReadSamplesClassMlpReadSamplesClassMlp
add_class_train_data_svmadd_class_train_data_svmAddClassTrainDataSvmadd_class_train_data_svmAddClassTrainDataSvmAddClassTrainDataSvm,
add_class_train_data_gmmadd_class_train_data_gmmAddClassTrainDataGmmadd_class_train_data_gmmAddClassTrainDataGmmAddClassTrainDataGmm,
add_class_train_data_knnadd_class_train_data_knnAddClassTrainDataKnnadd_class_train_data_knnAddClassTrainDataKnnAddClassTrainDataKnn
create_class_train_datacreate_class_train_dataCreateClassTrainDatacreate_class_train_dataCreateClassTrainDataCreateClassTrainData
Foundation