File: //lib/mysqlsh/lib/python3.8/site-packages/oci/ai_language/models/pre_trained_pii_model_details.py
# coding: utf-8
# Copyright (c) 2016, 2025, Oracle and/or its affiliates. All rights reserved.
# This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license.
# NOTE: This class is auto generated by OracleSDKGenerator. DO NOT EDIT. API Version: 20221001
from .model_details import ModelDetails
from oci.util import formatted_flat_dict, NONE_SENTINEL, value_allowed_none_or_none_sentinel # noqa: F401
from oci.decorators import init_model_state_from_kwargs
@init_model_state_from_kwargs
class PreTrainedPiiModelDetails(ModelDetails):
"""
Possible pre trained PII model information
"""
def __init__(self, **kwargs):
"""
Initializes a new PreTrainedPiiModelDetails object with values from keyword arguments. The default value of the :py:attr:`~oci.ai_language.models.PreTrainedPiiModelDetails.model_type` attribute
of this class is ``PRE_TRAINED_PII`` and it should not be changed.
The following keyword arguments are supported (corresponding to the getters/setters of this class):
:param language_code:
The value to assign to the language_code property of this PreTrainedPiiModelDetails.
:type language_code: str
:param model_type:
The value to assign to the model_type property of this PreTrainedPiiModelDetails.
Allowed values for this property are: "NAMED_ENTITY_RECOGNITION", "TEXT_CLASSIFICATION", "PRE_TRAINED_NAMED_ENTITY_RECOGNITION", "PRE_TRAINED_TEXT_CLASSIFICATION", "PRE_TRAINED_SENTIMENT_ANALYSIS", "PRE_TRAINED_KEYPHRASE_EXTRACTION", "PRE_TRAINED_LANGUAGE_DETECTION", "PRE_TRAINED_PII", "PRE_TRAINED_HEALTH_NLU", "PRE_TRAINED_SUMMARIZATION", "PRE_TRAINED_UNIVERSAL", "PII", "PRE_TRAINED_TRANSLATION", "HEALTH_NLU"
:type model_type: str
:param version:
The value to assign to the version property of this PreTrainedPiiModelDetails.
:type version: str
"""
self.swagger_types = {
'language_code': 'str',
'model_type': 'str',
'version': 'str'
}
self.attribute_map = {
'language_code': 'languageCode',
'model_type': 'modelType',
'version': 'version'
}
self._language_code = None
self._model_type = None
self._version = None
self._model_type = 'PRE_TRAINED_PII'
@property
def version(self):
"""
Gets the version of this PreTrainedPiiModelDetails.
Optional pre trained model version. if nothing specified latest pre trained model will be used.
Supported versions can be found at /modelTypes/{modelType}
:return: The version of this PreTrainedPiiModelDetails.
:rtype: str
"""
return self._version
@version.setter
def version(self, version):
"""
Sets the version of this PreTrainedPiiModelDetails.
Optional pre trained model version. if nothing specified latest pre trained model will be used.
Supported versions can be found at /modelTypes/{modelType}
:param version: The version of this PreTrainedPiiModelDetails.
:type: str
"""
self._version = version
def __repr__(self):
return formatted_flat_dict(self)
def __eq__(self, other):
if other is None:
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
return not self == other