e8ca4622623c32e12bd51d937a95b426812c18fb,python/mead/tasks.py,ClassifierTask,_create_task_specific_reader,#ClassifierTask#,188

Before Change

        for feature in self.config_params["features"]:
            key = feature["name"]
            vectorizer_section = feature.get("vectorizer", {"type": "token1d"})
            vectorizer_section["mxlen"] = vectorizer_section.get("mxlen", self.config_params["preproc"].get("mxlen", -1))
            vectorizer_section["mxwlen"] = vectorizer_section.get("mxlen", self.config_params["preproc"].get("mxwlen", -1))
            if "transform" in vectorizer_section:
                vectorizer_section["transform_fn"] = eval(vectorizer_section["transform"])
            vectorizer = create_vectorizer(**vectorizer_section)

After Change

        self.task = None

    def _create_task_specific_reader(self):
        vectorizers = self._create_vectorizers()
        return baseline.create_pred_reader(vectorizers, clean_fn=self.config_params["preproc"]["clean_fn"],
                                           trim=self.config_params["preproc"].get("trim", False),
                                           **self.config_params["loader"])

Instances