Created
May 25, 2020 17:04
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| for _ in range(self.rounds): | |
| r_intercepts, r_coefs, r_weights = self._collect_models(runners, N) | |
| self.intercept_ = np.average(r_intercepts, axis=0, weights=r_weights) | |
| self.coef_ = np.average(r_coefs, axis=0, weights=r_weights) | |
| self.global_model = set_weights(self.intercept_, self.coef_, np.unique(y)) | |
| return self |
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