learner.py 文件源码

def fit(self, path=None):
        """Fit sub-learner"""
        if path is None:
            path = self.path
        t0 = time()
        transformers = self._load_preprocess(path)

        self._fit(transformers)

        if self.out_array is not None:
            self._predict(transformers, self.scorer is not None)

        o = IndexedEstimator(estimator=self.estimator,
                             name=self.name_index,
                             index=self.index,
                             in_index=self.in_index,
                             out_index=self.out_index,
                             data=self.data)

        save(path, self.name_index, o)

        if self.verbose:
            msg = "{:<30} {}".format(self.name_index, "done")
            f = "stdout" if self.verbose < 10 - 3 else "stderr"
            print_time(t0, msg, file=f)