'Fit the StackingEstimator meta-transformer.
Parameters
X: array-like of shape (n_samples, n_features)
The training input samples.
y: array-like, shape (n_samples,)
The target values (integers that correspond to classes in classification, real numbers in regression).
fit_params:
Other estimator-specific parameters.
Returns
self: object
Returns a copy of the estimator'

def fit(self, X, y=None, **fit_params):

    self.estimator.fit(X, y, **fit_params)
    return self
