| ClassesClasses | | Operators |
Use the tabs on the upper right to switch to a different programming language.
Use the tabs on the upper right to switch to a different programming language.
HClassTrainData — Represents an instance of a training data management class.
| ReadClassTrainData | Read the training data for classifiers from a file. | |
| CreateClassTrainData | Create a handle for training data for classifiers. |
| AddClassTrainDataGmm | Add training data to a Gaussian Mixture Model (GMM). | |
| AddClassTrainDataKnn | Add training data to a k-nearest neighbors (k-NN) classifier. | |
| AddClassTrainDataMlp | Add training data to a multilayer perceptron (MLP). | |
| AddClassTrainDataSvm | Add training data to a support vector machine (SVM). | |
| AddSampleClassTrainData | Add a training sample to training data. | |
| ClearClassTrainData | Clears training data for classifiers. | |
| CreateClassTrainData | Create a handle for training data for classifiers. | |
| DeserializeClassTrainData | Deserialize serialized training data for classifiers. | |
| GetClassTrainDataGmm | Get the training data of a Gaussian Mixture Model (GMM). | |
| GetClassTrainDataKnn | Get the training data of a k-nearest neighbors (k-NN) classifier. | |
| GetClassTrainDataMlp | Get the training data of a multilayer perceptron (MLP). | |
| GetClassTrainDataSvm | Get the training data of a support vector machine (SVM). | |
| GetSampleClassTrainData | Return a training sample from training data. | |
| GetSampleNumClassTrainData | Return the number of training samples stored in the training data. | |
| ReadClassTrainData | Read the training data for classifiers from a file. | |
| SelectFeatureSetGmm | Selects an optimal combination from a set of features to classify the provided data. | |
| SelectFeatureSetKnn | Selects an optimal subset from a set of features to solve a certain classification problem. | |
| SelectFeatureSetMlp | Selects an optimal combination of features to classify the provided data. | |
| SelectFeatureSetSvm | Selects an optimal combination of features to classify the provided data. | |
| SelectSubFeatureClassTrainData | Select certain features from training data to create training data containing less features. | |
| SerializeClassTrainData | Serialize training data for classifiers. | |
| SetFeatureLengthsClassTrainData | Define subfeatures in training data. | |
| WriteClassTrainData | Save the training data for classifiers in a file. |
HClassTrainData — Represents an instance of a training data management class.
| ReadClassTrainData | Read the training data for classifiers from a file. | |
| CreateClassTrainData | Create a handle for training data for classifiers. |
| AddClassTrainDataGmm | Add training data to a Gaussian Mixture Model (GMM). | |
| AddClassTrainDataKnn | Add training data to a k-nearest neighbors (k-NN) classifier. | |
| AddClassTrainDataMlp | Add training data to a multilayer perceptron (MLP). | |
| AddClassTrainDataSvm | Add training data to a support vector machine (SVM). | |
| AddSampleClassTrainData | Add a training sample to training data. | |
| ClearClassTrainData | Clears training data for classifiers. | |
| CreateClassTrainData | Create a handle for training data for classifiers. | |
| DeserializeClassTrainData | Deserialize serialized training data for classifiers. | |
| GetClassTrainDataGmm | Get the training data of a Gaussian Mixture Model (GMM). | |
| GetClassTrainDataKnn | Get the training data of a k-nearest neighbors (k-NN) classifier. | |
| GetClassTrainDataMlp | Get the training data of a multilayer perceptron (MLP). | |
| GetClassTrainDataSvm | Get the training data of a support vector machine (SVM). | |
| GetSampleClassTrainData | Return a training sample from training data. | |
| GetSampleNumClassTrainData | Return the number of training samples stored in the training data. | |
| ReadClassTrainData | Read the training data for classifiers from a file. | |
| SelectFeatureSetGmm | Selects an optimal combination from a set of features to classify the provided data. | |
| SelectFeatureSetKnn | Selects an optimal subset from a set of features to solve a certain classification problem. | |
| SelectFeatureSetMlp | Selects an optimal combination of features to classify the provided data. | |
| SelectFeatureSetSvm | Selects an optimal combination of features to classify the provided data. | |
| SelectSubFeatureClassTrainData | Select certain features from training data to create training data containing less features. | |
| SerializeClassTrainData | Serialize training data for classifiers. | |
| SetFeatureLengthsClassTrainData | Define subfeatures in training data. | |
| WriteClassTrainData | Save the training data for classifiers in a file. |
| ClassesClasses | | Operators |