05fc3863f9b6c5b9a0393368fb02e999f1fc4d32,innvestigate/analyzer/relevance_based/relevance_rule.py,AlphaBetaRule,__init__,#AlphaBetaRule#Any#Any#Any#Any#Any#,214

Before Change

    def __init__(self, layer, state, alpha=None, beta=None, bias=True):
        alpha, beta = rutils.assert_infer_lrp_alpha_beta_param(alpha, beta, self)
        self._alpha = alpha
        self._beta = beta

        // prepare positive and negative weights for computing positive

After Change

        // One is the original form and two with only the positive or
        // negative weights.
        if copy_weights:
            weights = layer.get_weights()[:-1]
            positive_weights = [x * (x > 0) for x in weights]
            negative_weights = [x * (x < 0) for x in weights]
        else:
            weights = layer.weights[:-1]

Instances