def persist(self, model_dir): # type: (Text) -> Optional[Dict[Text, Any]] """Persist this model into the passed directory.""" classifier_file = os.path.join(model_dir, NGRAM_MODEL_FILE_NAME) utils.pycloud_pickle(classifier_file, self) return {"classifier_file": NGRAM_MODEL_FILE_NAME}
def persist(self, model_dir): # type: (Text) -> Optional[Dict[Text, Any]] """Persist this model into the passed directory.""" classifier_file = os.path.join(model_dir, SKLEARN_MODEL_FILE_NAME) utils.pycloud_pickle(classifier_file, self) return {"classifier_file": SKLEARN_MODEL_FILE_NAME}
def persist(self, model_dir): # type: (Text) -> Dict[Text, Any] """Persist this model into the passed directory. Returns the metadata necessary to load the model again.""" featurizer_file = os.path.join(model_dir, self.name + ".pkl") utils.pycloud_pickle(featurizer_file, self) return {"tfidf_sentence_embedding_file": self.name + ".pkl"}
def persist(self, model_dir): # type: (Text) -> Optional[Dict[Text, Any]] """Persist this model into the passed directory.""" featurizer_file = os.path.join(model_dir, NGRAM_MODEL_FILE_NAME) utils.pycloud_pickle(featurizer_file, self) return {"featurizer_file": NGRAM_MODEL_FILE_NAME}
def persist(self, model_dir): # type: (Text) -> Dict[Text, Any] """Persist this model into the passed directory. Returns the metadata necessary to load the model again.""" featurizer_file = os.path.join(model_dir, self.name + ".pkl") utils.pycloud_pickle(featurizer_file, self) return {"featurizer_file": self.name + ".pkl"}
def persist(self, file_name: Text, model_dir: Text) -> Optional[Dict[Text, Any]]: """Persist this model into the passed directory.""" file_name = file_name + ".pkl" classifier_file = os.path.join(model_dir, file_name) utils.pycloud_pickle(classifier_file, self) return {"file": file_name}
def persist(self, file_name: Text, model_dir: Text) -> Optional[Dict[Text, Any]]: """Persist this model into the passed directory.""" file_name = file_name + ".pkl" classifier_file = os.path.join(model_dir, file_name) utils.pycloud_pickle(classifier_file, self) return {"file": file_name}
def persist(self, file_name: Text, model_dir: Text) -> Optional[Dict[Text, Any]]: """Persist this model into the passed directory. Returns the metadata necessary to load the model again. """ file_name = file_name + ".pkl" featurizer_file = os.path.join(model_dir, file_name) utils.pycloud_pickle(featurizer_file, self) return {"file": file_name}
def persist(self, model_dir: Text) -> Optional[Dict[Text, Any]]: """Persist this model into the passed directory.""" featurizer_file = os.path.join(model_dir, NGRAM_MODEL_FILE_NAME) utils.pycloud_pickle(featurizer_file, self) return {"featurizer_file": NGRAM_MODEL_FILE_NAME}