984afb6e438cabf024139785ab4b18c858af4163,secuml/core/classif/classifiers/__init__.py,Classifier,apply_pipeline,#Classifier#Any#,114

Before Change

        num_instances = instances.num_instances()
        if num_instances == 0:
            return Predictions([], instances.ids, self.conf.multiclass)
        features = instances.features.get_values()
        predictions = self._predict(features)
        all_probas, probas = self._get_predicted_probas(features,
                                                        num_instances)
        scores = self._get_predicted_scores(features, num_instances)
        return Predictions(predictions, instances.ids,
                           self.conf.multiclass, all_probas=all_probas,
                           probas=probas, scores=scores)

    def _predict(self, features):
        return list(self.pipeline.predict(features))

After Change

        num_instances = instances.num_instances()
        if num_instances == 0:
            return Predictions([], instances.ids, self.conf.multiclass)
        return self._predict(instances.features, instances.ids)

    def _predict(self, features, instances_ids):
        if features.streaming:
            return self._predict_streaming(features.get_values(),

Instances