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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.
odel training and classification will be performed in sequential mode in Linux and Windows , regardless of the IMultiProcessingParams::MultiProcessingMode value.

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Syntax

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C++

HRESULT TrainModel(
  ITrainingData*     Objects,
  ITrainingResults** Result
);

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C#

ITrainingResults TrainModel( ITrainingData Objects );

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Visual Basic .NET

Function TrainModel(Objects As ITrainingData) As ITrainingResults

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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.

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Return values

This method has no specific return values. It returns the standard return values of ABBYY FineReader Engine functions.

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See also

Trainer