experiment.py 文件源码

def _get_weights(self, data, kpi, variant):
        if kpi not in self.reference_kpis:
            return 1.0
        reference_kpi  = self.reference_kpis[kpi]
        x              = self.get_kpi_by_name_and_variant(data, reference_kpi, variant)
        zeros_and_nans = sum(x == 0) + np.isnan(x).sum()
        non_zeros      = len(x) - zeros_and_nans
        return non_zeros/np.nansum(x) * x