learner.py 文件源码

def fit(self, path=None):
        """Fit transformers"""
        path = path if path else self.path
        t0 = time()
        xtemp, ytemp = slice_array(
            self.in_array, self.targets, self.in_index)

        t0_f = time()
        self.estimator.fit(xtemp, ytemp)
        self.transform_time_ = time() - t0_f

        if self.out_array is not None:
            self._transform()

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