e82c5a5ad0873d0ac8bf824b603f163ee5ac18ef,examples/word_language_model/train.py,Trainer,score,#Trainer#Any#Any#,56

Before Change

        return self.get_loss(output_flat, y)

    def score(self, X, y):
        import pdb; pdb.set_trace()

corpus = data.Corpus("./data/penn")
ntokens = len(corpus.dictionary)
bptt = 10

After Change

        //return f1_score(y, pred)

        iterator = self.get_iterator(X, y, train=False)
        y_probas = []
        y_target = []
        for x, y in iterator:
            y_probas.append(self.evaluation_step(x))
            y_target.append(y)

Instances