a770dbd27f41d90205bf69d2cd86991d6f887e90,dask_ml/model_selection/_incremental.py,BaseIncrementalSearchCV,fit,#BaseIncrementalSearchCV#Any#Any#,656

Before Change

            Additional partial fit keyword arguments for the estimator.
        

        if self.verbose:
            h = logging.StreamHandler(sys.stdout)
            context = LoggingContext(logger, level=logging.INFO, handler=h)
        else:
            context = dummy_context()

        with context:
            return default_client().sync(self._fit, X, y, **fit_params)

    @if_delegate_has_method(delegate=("best_estimator_", "estimator"))

After Change

        client = default_client()
        if not client.asynchronous:
            return client.sync(self._fit, X, y, **fit_params)
        return self._fit(X, y, **fit_params)

    @if_delegate_has_method(delegate=("best_estimator_", "estimator"))
    def decision_function(self, X):
        self._check_is_fitted("decision_function")

Instances