rulsif.py 文件源码

def apply(self, referenceSamples=None, testSamples=None, gaussianCenters=None) :
        """
        Calculates the alpha-relative Pearson divergence score
        """
        densityRatioEstimator         = AlphaRelativeDensityRatioEstimator(self.alphaConstraint  ,
                                                                           self.sigmaWidth       ,
                                                                           self.lambdaRegularizer,
                                                                           self.kernelBasis      )

        # Estimate alpha relative density ratio and pearson divergence score
        (r_alpha_Xref, r_alpha_Xtest) = densityRatioEstimator.apply(referenceSamples, testSamples, gaussianCenters)

        PE_divergence = ( numpy.mean(r_alpha_Xref) -
                          ( 0.5 * ( self.alphaConstraint * numpy.mean(r_alpha_Xref ** 2) +
                            (1.0 - self.alphaConstraint) * numpy.mean(r_alpha_Xtest ** 2) ) ) - 0.5)

        return (PE_divergence, r_alpha_Xtest)