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# coding: utf-8 # Copyright (c) 2016, 2026, 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 TextClassificationModelDetails(ModelDetails): """ Possible TextClassificationModelDetails """ def __init__(self, **kwargs): """ Initializes a new TextClassificationModelDetails object with values from keyword arguments. The default value of the :py:attr:`~oci.ai_language.models.TextClassificationModelDetails.model_type` attribute of this class is ``TEXT_CLASSIFICATION`` 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 TextClassificationModelDetails. :type language_code: str :param model_type: The value to assign to the model_type property of this TextClassificationModelDetails. 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 classification_mode: The value to assign to the classification_mode property of this TextClassificationModelDetails. :type classification_mode: oci.ai_language.models.ClassificationType """ self.swagger_types = { 'language_code': 'str', 'model_type': 'str', 'classification_mode': 'ClassificationType' } self.attribute_map = { 'language_code': 'languageCode', 'model_type': 'modelType', 'classification_mode': 'classificationMode' } self._language_code = None self._model_type = None self._classification_mode = None self._model_type = 'TEXT_CLASSIFICATION' @property def classification_mode(self): """ Gets the classification_mode of this TextClassificationModelDetails. :return: The classification_mode of this TextClassificationModelDetails. :rtype: oci.ai_language.models.ClassificationType """ return self._classification_mode @classification_mode.setter def classification_mode(self, classification_mode): """ Sets the classification_mode of this TextClassificationModelDetails. :param classification_mode: The classification_mode of this TextClassificationModelDetails. :type: oci.ai_language.models.ClassificationType """ self._classification_mode = classification_mode 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

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