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}
