def corr_without_fit()

in domainbed_measures/experiment/regression.py [0:0]

• 14 lines of code
• 8 McCabe index (conditional complexity)

    def corr_without_fit(self, aggregation='mean'):
        if aggregation == 'mean':
            return np.mean([
                x.correlation for x in self.reg_meta['correlations']
                if x is not None
            ])
        elif aggregation == 'min':
            arr = [
                x.correlation for x in self.reg_meta['correlations']
                if x is not None
            ]
            if len(arr) == 0:
                return -1e3
            return np.min(arr)