4726635986dc0c43de16b73c9ff69ec5189849d5,snorkel/features.py,Featurizer,fit_transform,#Featurizer#Any#,104

Before Change

    def fit_transform(self, candidates):
        Assembles the set of features to be used, and applies this transformation to the candidates
        feature_generators = self._match_contexts(self._preprocess_candidates(candidates))

        // Assemble and return the sparse feature matrix
        f_index = defaultdict(list)
        for i,f in itertools.chain(*feature_generators):
            f_index[f].append(i)

        // Assemble and return sparse feature matrix

After Change

        Assembles the set of features to be used, and applies this transformation to the candidates
        // Assemble and return the sparse feature matrix
        f_index = defaultdict(list)
        for f, i in self.get_feats(candidates):
            f_index[f].append(i)

        // Assemble and return sparse feature matrix

Instances