learner.py 文件源码

def fit(self, path=None):
        """Evaluate sub-learner"""
        path = path if path else self.path
        if self.scorer is None:
            raise ValueError("Cannot generate CV-scores without a scorer")
        t0 = time()
        transformers = self._load_preprocess(path)
        self._fit(transformers)
        self._predict(transformers)

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