/// <summary>
/// Trains the model for a fixed number of epochs.
/// </summary>
/// <param name="train">The train image generator.</param>
/// <param name="epoches">The no. of trainin epoches.</param>
/// <param name="batchSize">Size of the batch for training.</param>
/// <param name="validation">The validation image generator.</param>
public void Train(ImageDataGenerator train, int epoches, int batchSize, ImageDataGenerator validation = null)
{
OnTrainingStart();
trainPredict = new ImgGenTrainPredict(modelOut, lossFunc, lossName, metricFunc, metricName, learners, featureVariable, labelVariable);
TrainingResult = trainPredict.Train(train, validation, epoches, batchSize, OnEpochStart, OnEpochEnd, OnBatchStart, OnBatchEnd);
OnTrainingEnd(TrainingResult);
}
/// <summary>
/// Trains the model for a fixed number of epochs.
/// </summary>
/// <param name="train">The training dataset.</param>
/// <param name="epoches">The no. of trainin epoches.</param>
/// <param name="batchSize">Size of the batch for training.</param>
/// <param name="validation">The validation dataset.</param>
/// <param name="shuffle">Shuffle the dataset while training</param>
public void Train(XYFrame train, int epoches, int batchSize, XYFrame validation = null, bool shuffle = false)
{
OnTrainingStart();
trainPredict = new DataFrameTrainPredict(modelOut, lossFunc, lossName, metricFunc, metricName, learners, featureVariable, labelVariable);
TrainingResult = trainPredict.Train(train, validation, epoches, batchSize, OnEpochStart, OnEpochEnd, OnBatchStart, OnBatchEnd, shuffle);
OnTrainingEnd(TrainingResult);
}
