fixes.py 文件源码

def fit(self, X, y=None):
        """Run fit on the estimator with randomly drawn parameters.

        Parameters
        ----------
        X : array-like, shape = [n_samples, n_features]
            Training vector, where n_samples in the number of samples and
            n_features is the number of features.
        y : array-like, shape = [n_samples] or [n_samples, n_output], optional
            Target relative to X for classification or regression;
            None for unsupervised learning.
        """
        sampled_params = ParameterSampler(self.param_distributions,
                                          self.n_iter,
                                          random_state=self.random_state)

        # the super class will handle the X, y validation
        return self._fit(X, y, sampled_params)