@classmethod
    def load(cls, f):
        if hasattr(f, 'buffer'):
            return pickle.load(f.buffer)
        else:
            return pickle.load(f)
(array) The variance / covariance matrix. Computed using the method
dataset/ETHPy150Open wiki-ai/revscoring/revscoring/scorer_models/scorer_model.py/ScorerModel.load--crossover with--dataset/ETHPy150Open statsmodels/statsmodels/statsmodels/tsa/statespace/mlemodel.py/MLEResults.cov_params_oim