SharpBCI.IPredictor< T > Interface Template Reference

Interface for all predictors. More...

Inheritance diagram for SharpBCI.IPredictor< T >:

Public Member Functions
void	AddTrainingData (int label, T data)
	Add data to labeled training data set. More...
void	ClearTrainingData ()
	Clears all training data stored within the predictor Essentially a reset of the entire prediction system Use between changing environments and/or participants. More...
int	Predict (T test)
	Makes a prediction from the underlying model based off the new data. More...

Detailed Description

Interface for all predictors.

All current predictors take double[] as data. Should be encapsulated in an IPredictorPipeable.

See Also

IPredictorPipeable

Member Function Documentation

void SharpBCI.IPredictor< T >.AddTrainingData	(	int	label,
		T	data
	)

Add data to labeled training data set.

The collection of trained data is used to create a model for Predict.

See Also

Predict(T test)

Parameters

label	- a unique non-negative non-zero integer which identifies the label being trained on
data	- training data for predictor. Generally double[]

void SharpBCI.IPredictor< T >.ClearTrainingData

(

)

Clears all training data stored within the predictor Essentially a reset of the entire prediction system Use between changing environments and/or participants.

Implemented in SharpBCI.Predictor.

int SharpBCI.IPredictor< T >.Predict

(

T

test

)

Makes a prediction from the underlying model based off the new data.

See Also

AddTrainingData(int label, T data)

Parameters

test	- data to be predicted on. Must be the same type/shape/format of AddTrainingData data

Returns

int the corresponds with the label of the predicted class

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The documentation for this interface was generated from the following file:

• /home/travis/build/berkona/SharpBCI/SharpBCI/AggregatePredictors.cs