inverse_covariance.py 文件源码

def __init__(self, score_metric='log_likelihood', init_method='cov',
                 auto_scale=True):
        self.score_metric = score_metric
        self.init_method = init_method
        self.auto_scale = auto_scale

        self.covariance_ = None  # assumes a matrix of a list of matrices
        self.precision_ = None  # assumes a matrix of a list of matrices

        # these must be updated upon self.fit()
        # the first 4 will be set if self.init_coefs is used.
        #   self.sample_covariance_
        #   self.lam_scale_
        #   self.n_samples
        #   self.n_features
        self.is_fitted = False

        super(InverseCovarianceEstimator, self).__init__()