public class NeuralNetClassifier extends AbstractNeuralNet implements ISoftmaxClassifier
Neural net used as a classifier, with the posibility of estimating probability of each class.
hiddenLayers, inputLayer, outputLayer, XML| Constructor and Description |
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NeuralNetClassifier()
Empty constructor
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| Modifier and Type | Method and Description |
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byte[] |
classify(double[] inputs)
Obtain the associated class of one observation
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byte[][] |
classify(double[][] inputs)
Obtain the associated class of a set of observations, through
their inputs values
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double[] |
rawOutputs(double[] inputs)
Obtain the raw output of the classifier for each class
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double[][] |
rawOutputs(double[][] inputs)
Obtain the raw outputs of classes of a set of observations,
through their inputs values
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double[] |
softmaxProbabilities(double[] inputs)
Obtain the normalized softmax probabilities of classes of
one observation
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double[][] |
softmaxProbabilities(double[][] inputs)
Obtain the normalized softmax probabilities of classes
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, toStringpublic byte[] classify(double[] inputs)
Obtain the associated class of one observation
classify in interface IClassifierinputs - Double array with all inputs of the observationpublic byte[][] classify(double[][] inputs)
Obtain the associated class of a set of observations, through their inputs values
classify in interface IClassifierinputs - Double matrix with all inputs of all observationspublic double[] rawOutputs(double[] inputs)
Obtain the raw output of the classifier for each class
rawOutputs in interface ISoftmaxClassifierinputs - Double array with all inputs of the observationpublic double[][] rawOutputs(double[][] inputs)
Obtain the raw outputs of classes of a set of observations, through their inputs values
rawOutputs in interface ISoftmaxClassifierinputs - Double matrix with all inputs of all observationspublic double[] softmaxProbabilities(double[] inputs)
Obtain the normalized softmax probabilities of classes of one observation
softmaxProbabilities in interface ISoftmaxClassifierinputs - Double array with all inputs of the observationpublic double[][] softmaxProbabilities(double[][] inputs)
Obtain the normalized softmax probabilities of classes of a set of observations, through their inputs values
softmaxProbabilities in interface ISoftmaxClassifierinputs - Double matrix with all inputs of all observations