# Copyright (c) 2021, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
from enum import Enum
from typing import List, Union
[docs]class Tag(Enum):
# Feature types
CATEGORICAL = "categorical"
CONTINUOUS = "continuous"
LIST = "list"
TEXT = "text"
TEXT_TOKENIZED = "text_tokenized"
TIME = "time"
# Feature context
USER = "user"
USER_ID = "user_id"
ITEM = "item"
ITEM_ID = "item_id"
SESSION = "session"
SESSION_ID = "session_id"
CONTEXT = "context"
# Target related
TARGETS = "target"
BINARY_CLASSIFICATION = "binary_classification"
MULTI_CLASS_CLASSIFICATION = "multi_class"
REGRESSION = "regression"
def __str__(self):
return self.value
def __eq__(self, o: object) -> bool:
return str(o) == str(self)
TagsType = Union[List[str], List[Tag], List[Union[Tag, str]]]