private static void RunMultiSequenceLearningExperiment()
{
Dictionary <string, List <double> > sequences = new Dictionary <string, List <double> >();
//sequences.Add("S1", new List<double>(new double[] { 0.0, 1.0, 0.0, 2.0, 3.0, 4.0, 5.0, 6.0, 5.0, 4.0, 3.0, 7.0, 1.0, 9.0, 12.0, 11.0, 12.0, 13.0, 14.0, 11.0, 12.0, 14.0, 5.0, 7.0, 6.0, 9.0, 3.0, 4.0, 3.0, 4.0, 3.0, 4.0 }));
//sequences.Add("S2", new List<double>(new double[] { 0.8, 2.0, 0.0, 3.0, 3.0, 4.0, 5.0, 6.0, 5.0, 7.0, 2.0, 7.0, 1.0, 9.0, 11.0, 11.0, 10.0, 13.0, 14.0, 11.0, 7.0, 6.0, 5.0, 7.0, 6.0, 5.0, 3.0, 2.0, 3.0, 4.0, 3.0, 4.0 }));
sequences.Add("S1", new List <double>(new double[] { 0.0, 1.0, 2.0, 3.0, 4.0, 2.0, 5.0, }));
sequences.Add("S2", new List <double>(new double[] { 8.0, 1.0, 2.0, 9.0, 10.0, 7.0, 11.00 }));
//
// Prototype for building the prediction engine.
MultiSequenceLearning experiment = new MultiSequenceLearning();
var predictor = experiment.Run(sequences);
var list1 = new double[] { 1.0, 2.0, 3.0 };
var list2 = new double[] { 2.0, 3.0, 4.0 };
var list3 = new double[] { 8.0, 1.0, 2.0 };
predictor.Reset();
PredictNextElement(predictor, list1);
predictor.Reset();
PredictNextElement(predictor, list2);
predictor.Reset();
PredictNextElement(predictor, list3);
}
private static void RunMultiSimpleSequenceLearningExperiment()
{
Dictionary <string, List <double> > sequences = new Dictionary <string, List <double> >();
sequences.Add("S1", new List <double>(new double[] { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, }));
sequences.Add("S2", new List <double>(new double[] { 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0 }));
//
// Prototype for building the prediction engine.
MultiSequenceLearning experiment = new MultiSequenceLearning();
var predictor = experiment.Run(sequences);
}
