AggregatePredictors.cs File Reference

Classes
interface	SharpBCI.IPredictor< T >
	Interface for all predictors. More...
interface	SharpBCI.IPredictorPipeable
	Extends the typical pipeable to include training controls SharpBCI uses these functions to interface with the prediction mechanisms. More...
class	SharpBCI.AggregatePredictionPipeable
	A pipeable which aggregates received EEGEvents into an array based on the reported EEGEvent timestamp and then uses an IPredictor<EEGEvent[]> to train/classify on them. More...
class	SharpBCI.Predictor
	An IPredictor which uses a 3-dimensional loci of points in the form of an array of EEGEvent's to classify EEG data Uses nearest neighbor predictions with distance computed by the abstract Compute(double[] x, double[] y) function Predictions occur by computing the distance between the incoming sample and all training samples, pulls the k nearest neighbors, and determines the final prediction. More...
class	SharpBCI.AggregateKNNCorrelationPredictor
class	SharpBCI.AggregateKNNDTWPredictor

Namespaces
package	SharpBCI