+ Fix the bug of calling len when using sparse matrix for fit_params in ...

When using sparse matrix in fit_params, calling len(v) will raise error because the __len__ of sparse matrix is defined as
````
    def __len__(self):
        # return self.getnnz()
        raise TypeError("sparse matrix length is ambiguous; use getnnz()"
                         " or shape[0]")
````
So I added extra cases to deal with sparse matrix in fit_params.
Please use the `sklearn.utils.validation._num_samples` helper.