Test with a set of inputs, and a set of desired outputs.
public double[] Test( double[] input, double[] desiredOutput )
Test with a set of inputs, and a set of desired outputs.
public int[] Test( int[] input, int[] desiredOutput )
Test with a set of inputs, and a set of desired outputs.
public float[] Test( float[] input, float[] desiredOutput )
Test a set of training data and calculates the MSE for the training data.
public float TestData( TrainingData data )
Test a set of training data and calculates the MSE for the training data.
public float TestData( TrainingData data )
Test a set of training data and calculates the MSE for the training data.
public float TestData( TrainingData data )
public float TestDataParallel( TrainingData data, uint threadNumb )
public float TestDataParallel( TrainingData data, uint threadNumb )
Train one iteration with a set of inputs, and a set of desired outputs.
public void Train( double[] input, double[] desiredOutput )
Train one iteration with a set of inputs, and a set of desired outputs.
public void Train( float[] input, float[] desiredOutput )
Train one epoch with a set of training data.
public float TrainEpoch( TrainingData data )
Train one epoch with a set of training data.
public float TrainEpoch( TrainingData data )
public float TrainEpochBatchParallel( TrainingData data, uint threadNumb )
public float TrainEpochBatchParallel( TrainingData data, uint threadNumb )
public float TrainEpochIncrementalMod( TrainingData data )
public float TrainEpochIncrementalMod( TrainingData data )
public float TrainEpochIrpropmParallel( TrainingData data, uint threadNumb )
public float TrainEpochIrpropmParallel( TrainingData data, uint threadNumb )
public float TrainEpochQuickpropParallel( TrainingData data, uint threadNumb )
public float TrainEpochQuickpropParallel( TrainingData data, uint threadNumb )
public float TrainEpochSarpropParallel( TrainingData data, uint threadNumb )
public float TrainEpochSarpropParallel( TrainingData data, uint threadNumb )
Default constructor creates an empty training data.
public TrainingData()
Default constructor creates an empty training data.
public TrainingData()
Default constructor creates an empty training data.
public TrainingData()
Trains on an entire dataset, for a period of time.
public void TrainOnData( TrainingData data, uint maxEpochs, uint epochsBetweenReports, float desiredError )
Trains on an entire dataset, for a period of time.
public void TrainOnData( TrainingData data, uint maxEpochs, uint epochsBetweenReports, float desiredError )
Does the same as TrainOnData, but reads the training data directly from a file.
public void TrainOnFile( string filename, uint maxEpochs, uint epochsBetweenReports, float desiredError )
Does the same as TrainOnData, but reads the training data directly from a file.
public void TrainOnFile( string filename, uint maxEpochs, uint epochsBetweenReports, float desiredError )