English (English)
TrainModel Method of the Trainer Object
Trains the classifier on the input data set. The training and cross-validation parameters should be set up in the properties of the Trainer object.
Note: Model training and classification will be performed in sequential mode, regardless of the IMultiProcessingParams::MultiProcessingMode value.
Syntax
C++
HRESULT TrainModel(
ITrainingData* Objects,
ITrainingResults** Result
);
C#
ITrainingResults TrainModel( ITrainingData Objects );
Visual Basic .NET
Function TrainModel(Objects As ITrainingData) As ITrainingResults
Parameters
- Objects
- [in] The categorized data set (as a TrainingData object), on which the classification model should be trained. At least two categories must be represented in the data set.
- Result
- [out, retval] A pointer to the ITrainingResults* pointer variable that receives the interface pointer of the output TrainingResults object. The results of training include the classification model and the validation results. Currently you can only train a classifier of one type at a time, therefore the collection will contain one TrainingResult element.
Return values
This method has no specific return values. It returns the standard return values of ABBYY FineReader Engine functions.
See also
9/17/2024 3:14:40 PM