Catalano.MachineLearning.Regression
Interface IRegression
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- All Superinterfaces:
- java.lang.Cloneable
- All Known Implementing Classes:
- BaggingLearning, ExtremeLearningMachine, GradientBoostingTree, KNearestNeighbors, RadiusNearestNeighbors, RandomForest, RegressionTree
public interface IRegression extends java.lang.CloneableThe interface describe the predict of the regression.
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Method Summary
All Methods Instance Methods Abstract Methods Modifier and Type Method and Description IRegressionclone()Clone of the object.voidLearn(DatasetRegression dataset)Learn.voidLearn(double[][] input, double[] output)Learn.doublePredict(double[] feature)Predict.
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Method Detail
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Learn
void Learn(DatasetRegression dataset)
Learn.- Parameters:
dataset- Dataset regression.
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Learn
void Learn(double[][] input, double[] output)Learn.- Parameters:
input- Input.output- Output.
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Predict
double Predict(double[] feature)
Predict.- Parameters:
feature- Feature.- Returns:
- Value.
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clone
IRegression clone()
Clone of the object.- Returns:
- A new copy of the object.
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