question: returns a histogram of all samples where the values are first aggregated into bins of width binsize and then normalized so that the sum of all discretized samples equals one . concode_field_sep TDoubleArrayList values concode_elem_sep TDoubleArrayList weights concode_field_sep void add concode_elem_sep void add concode_elem_sep double[] getWeights concode_elem_sep TDoubleDoubleHashMap absoluteDistributionLog10 concode_elem_sep double[] getValues concode_elem_sep double max concode_elem_sep TDoubleDoubleHashMap absoluteDistributionLog concode_elem_sep double coefficientOfVariance concode_elem_sep TDoubleDoubleHashMap absoluteDistribution concode_elem_sep TDoubleDoubleHashMap absoluteDistribution concode_elem_sep TDoubleDoubleHashMap absoluteDistributionFixed concode_elem_sep void writeHistogram concode_elem_sep double kurtosis concode_elem_sep TDoubleDoubleHashMap absoluteDistributionLog2 concode_elem_sep double min concode_elem_sep double meanSquareError concode_elem_sep void addAll concode_elem_sep void addAll concode_elem_sep double variance concode_elem_sep double mean concode_elem_sep double skewness
target: TDoubleDoubleHashMap function ( double arg0 ) { return normalizedDistribution ( absoluteDistribution ( arg0 ) ) ; }