def _est_regularized_naive(mod, pnum, partitions, fit_kwds=None):
    """estimates the regularized fitted parameters.

    Parameters
    ----------
    mod : statsmodels model class instance
        The model for the current partition.
    pnum : scalar
        Index of current partition
    partitions : scalar
        Total number of partitions
    fit_kwds : dict-like or None
        Keyword arguments to be given to fit_regularized

    Returns
    -------
    An array of the parameters for the regularized fit
    """

    if fit_kwds is None:
        raise ValueError("_est_regularized_naive currently " +
                         "requires that fit_kwds not be None.")

    return mod.fit_regularized(**fit_kwds).params