def score(self, X, metric=r2_score):
print("Scoring model by masking the matrix.")
return score_model(self, X, metric=metric)
def score(self, data, metric=r2_score):
imputedGenes = list(zip(*[net.targetGenes for net in self.networks]))
return score_model(self,
pd.DataFrame(data),
metric=r2_score,
cols=imputedGenes)