public class NeuralNetRegressor extends AbstractNeuralNet implements IRegressor
Neural net used as a regressor
hiddenLayers, inputLayer, outputLayer, XML
Constructor and Description |
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NeuralNetRegressor()
Empty constructor
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Modifier and Type | Method and Description |
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double |
operate(double[] inputs)
Estimates output value of a observation, through
its inputs values
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double[] |
operate(double[][] inputs)
Estimates output values of a set of observations, through
their inputs values
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addHlayer, copy, equals, getHlayer, getInputLayer, getNofhlayers, getNofhneurons, getNoflinks, getOutputLayer, hashCode, keepRelevantLinks, linksEmpty, linksFull, neuronsEmpty, neuronsFull, setInputLayer, setOutputLayer, toString
public double operate(double[] inputs)
Estimates output value of a observation, through its inputs values
operate
in interface IRegressor
inputs
- Double array with all inputs of the observationpublic double[] operate(double[][] inputs)
Estimates output values of a set of observations, through their inputs values
operate
in interface IRegressor
inputs
- Double matrix with all inputs of all observations