240d23ec41ee51c72a69fda93148cb534a6688ec,aif360/algorithms/inprocessing/celisMeta/StatisticalRate.py,StatisticalRate,getFuncValue,#StatisticalRate#,95

Before Change

			return t

	def getFuncValue(self, dist_params, a,b, params, samples,  z_0, z_1):
		res = []
		for x in samples:
				t = abs(self.getValueForX(dist_params, a,b, params, samples,  z_0, z_1, x, 0))
				res.append(t)

		l_1 = params[0]
		l_2 = params[1]
		a, b = a[0], b[0]

After Change

    def getFuncValue(self, dist, a, b, params, samples, z_prior):
        l_1, l_2 = params

        exp = np.mean(np.abs(self.getValueForX(dist, a, b, params, z_prior,
                                               samples)))
        result = exp - b*l_1 - b*l_2
        if l_1 > 0:
            result += (b-a)*l_1
        if l_2 > 0:

Instances