org.encog.ml
Interface MLRegression
- All Superinterfaces:
- MLInput, MLInputOutput, MLMethod, MLOutput
- All Known Subinterfaces:
- EnsembleML, MLAutoAssocation
- All Known Implementing Classes:
- BasicNetwork, BasicPNN, BoltzmannMachine, CPN, EncogProgram, FreeformNetwork, GaussianFitting, GenericEnsembleML, HopfieldNetwork, LinearRegression, NEATNetwork, NEATPopulation, PrgPopulation, RBFNetwork, SVM, ThermalNetwork
public interface MLRegression
- extends MLInputOutput
Defines a Machine Learning Method that supports regression. Regression
takes an input and produces numeric output. Function approximation
uses regression. Contrast this to classification, which uses the input
to assign a class.
compute
MLData compute(MLData input)
- Compute regression.
- Parameters:
input
- The input data.
- Returns:
- The output data.
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