org.nd4j.autodiff.samediff.SDVariable prob
org.nd4j.autodiff.samediff.SDVariable prob
org.nd4j.autodiff.samediff.SDVariable loc
org.nd4j.autodiff.samediff.SDVariable scale
org.nd4j.autodiff.samediff.SameDiff sd
org.nd4j.autodiff.samediff.SDVariable xIn
org.nd4j.autodiff.samediff.SDVariable yIn
int numFeatures
int numSamples
boolean addBias
int predictionSamples
BayesianModel.OptimizerType optimizerType
double learningRate
org.nd4j.autodiff.samediff.SDVariable[] vars
org.nd4j.linalg.learning.GradientUpdater<T extends org.nd4j.linalg.learning.config.IUpdater>[] updaters
org.nd4j.linalg.learning.config.IUpdater optimizer
org.nd4j.linalg.api.ndarray.INDArray[] weightStates
org.nd4j.linalg.api.ndarray.INDArray[] viewArrays
NormalDistribution weights
org.nd4j.autodiff.samediff.SDVariable likelihoodScale
org.nd4j.autodiff.samediff.SDVariable loss
double numberOfSamples
double numberOfErrors
NormalDistribution weights
org.nd4j.autodiff.samediff.SDVariable loss
List<E> classes
int noOfClasses
PrequentialEvaluation eval
double[] weights
double bias
double threshold
double learningRate
double[] coordinates
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