Neural Nets
List of Operators
add_class_train_data_mlpAddClassTrainDataMlpAddClassTrainDataMlpadd_class_train_data_mlp- Add training data to a multilayer perceptron (MLP).
add_sample_class_mlpAddSampleClassMlpAddSampleClassMlpadd_sample_class_mlp- Add a training sample to the training data of a multilayer
perceptron.
classify_class_mlpClassifyClassMlpClassifyClassMlpclassify_class_mlp- Calculate the class of a feature vector by a multilayer perceptron.
clear_class_mlpClearClassMlpClearClassMlpclear_class_mlp- Clear a multilayer perceptron.
clear_samples_class_mlpClearSamplesClassMlpClearSamplesClassMlpclear_samples_class_mlp- Clear the training data of a multilayer perceptron.
create_class_mlpCreateClassMlpCreateClassMlpcreate_class_mlp- Create a multilayer perceptron for classification or regression.
deserialize_class_mlpDeserializeClassMlpDeserializeClassMlpdeserialize_class_mlp- Deserialize a serialized multilayer perceptron.
evaluate_class_mlpEvaluateClassMlpEvaluateClassMlpevaluate_class_mlp- Calculate the evaluation of a feature vector by a multilayer
perceptron.
get_class_train_data_mlpGetClassTrainDataMlpGetClassTrainDataMlpget_class_train_data_mlp- Get the training data of a multilayer perceptron (MLP).
get_params_class_mlpGetParamsClassMlpGetParamsClassMlpget_params_class_mlp- Return the parameters of a multilayer perceptron.
get_prep_info_class_mlpGetPrepInfoClassMlpGetPrepInfoClassMlpget_prep_info_class_mlp- Compute the information content of the preprocessed feature vectors
of a multilayer perceptron.
get_regularization_params_class_mlpGetRegularizationParamsClassMlpGetRegularizationParamsClassMlpget_regularization_params_class_mlp- Return the regularization parameters of a multilayer perceptron.
get_rejection_params_class_mlpGetRejectionParamsClassMlpGetRejectionParamsClassMlpget_rejection_params_class_mlp- Get the parameters of a rejection class.
get_sample_class_mlpGetSampleClassMlpGetSampleClassMlpget_sample_class_mlp- Return a training sample from the training data of a multilayer
perceptron.
get_sample_num_class_mlpGetSampleNumClassMlpGetSampleNumClassMlpget_sample_num_class_mlp- Return the number of training samples stored in the training data of
a multilayer perceptron.
read_class_mlpReadClassMlpReadClassMlpread_class_mlp- Read a multilayer perceptron from a file.
read_samples_class_mlpReadSamplesClassMlpReadSamplesClassMlpread_samples_class_mlp- Read the training data of a multilayer perceptron from a file.
select_feature_set_mlpSelectFeatureSetMlpSelectFeatureSetMlpselect_feature_set_mlp- Selects an optimal combination of features to classify the provided data.
serialize_class_mlpSerializeClassMlpSerializeClassMlpserialize_class_mlp- Serialize a multilayer perceptron (MLP).
set_regularization_params_class_mlpSetRegularizationParamsClassMlpSetRegularizationParamsClassMlpset_regularization_params_class_mlp- Set the regularization parameters of a multilayer perceptron.
set_rejection_params_class_mlpSetRejectionParamsClassMlpSetRejectionParamsClassMlpset_rejection_params_class_mlp- Set the parameters of a rejection class.
train_class_mlpTrainClassMlpTrainClassMlptrain_class_mlp- Train a multilayer perceptron.
write_class_mlpWriteClassMlpWriteClassMlpwrite_class_mlp- Write a multilayer perceptron to a file.
write_samples_class_mlpWriteSamplesClassMlpWriteSamplesClassMlpwrite_samples_class_mlp- Write the training data of a multilayer perceptron to a file.