RNTN.Builder |
RNTN.Builder.setActivationFunction(org.nd4j.linalg.api.activation.ActivationFunction activationFunction) |
RNTN.Builder |
RNTN.Builder.setAdagradResetFrequency(int adagradResetFrequency) |
RNTN.Builder |
RNTN.Builder.setBinaryClassificationSize(int binaryClassificationSize) |
RNTN.Builder |
RNTN.Builder.setBinaryINd4jize(int binaryINd4jize) |
RNTN.Builder |
RNTN.Builder.setBinaryTransformSize(int binaryTransformSize) |
RNTN.Builder |
RNTN.Builder.setClassWeights(Map<Integer,Float> classWeights) |
RNTN.Builder |
RNTN.Builder.setCombineClassification(boolean combineClassification) |
RNTN.Builder |
RNTN.Builder.setFeatureVectors(Map<String,org.nd4j.linalg.api.ndarray.INDArray> featureVectors) |
RNTN.Builder |
RNTN.Builder.setFeatureVectors(Word2Vec vec) |
RNTN.Builder |
RNTN.Builder.setLowerCasefeatureNames(boolean lowerCasefeatureNames) |
RNTN.Builder |
RNTN.Builder.setNumBinaryMatrices(int numBinaryMatrices) |
RNTN.Builder |
RNTN.Builder.setNumHidden(int numHidden) |
RNTN.Builder |
RNTN.Builder.setNumUnaryMatrices(int numUnaryMatrices) |
RNTN.Builder |
RNTN.Builder.setRandomFeatureVectors(boolean randomFeatureVectors) |
RNTN.Builder |
RNTN.Builder.setRegTransformINDArray(double regTransformINDArray) |
RNTN.Builder |
RNTN.Builder.setRng(org.apache.commons.math3.random.RandomGenerator rng) |
RNTN.Builder |
RNTN.Builder.setScalingForInit(double scalingForInit) |
RNTN.Builder |
RNTN.Builder.setSimplifiedModel(boolean simplifiedModel) |
RNTN.Builder |
RNTN.Builder.setUnaryClassificationSize(int unaryClassificationSize) |
RNTN.Builder |
RNTN.Builder.setUseTensors(boolean useINd4j) |
RNTN.Builder |
RNTN.Builder.withOutputActivation(org.nd4j.linalg.api.activation.ActivationFunction outputActivationFunction) |