| ClassesClasses | | Operators |
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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. |
This operator is not available as a class member but will be called automatically when the resources of the object instances are to be released. This occurs in the finalization stage of garbage collection, or upon an explicit call of the Dispose() method.
| ClearClassTrainData | Clears 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. | |
| 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. |
This operator is not available as a class member but will be called automatically by the destructor. This occurs when a local variable goes out of scope or an instance on the heap is deleted.
| ClearClassTrainData | Clears 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. | |
| 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 |