File manager - Edit - /usr/lib/mysqlsh/lib/python3.9/site-packages/oci/generative_ai/models/fine_tune_details.py
Back
# 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: 20231130 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 FineTuneDetails(object): """ Details about fine-tuning a custom model. """ def __init__(self, **kwargs): """ Initializes a new FineTuneDetails object with values from keyword arguments. The following keyword arguments are supported (corresponding to the getters/setters of this class): :param training_dataset: The value to assign to the training_dataset property of this FineTuneDetails. :type training_dataset: oci.generative_ai.models.Dataset :param dedicated_ai_cluster_id: The value to assign to the dedicated_ai_cluster_id property of this FineTuneDetails. :type dedicated_ai_cluster_id: str :param training_config: The value to assign to the training_config property of this FineTuneDetails. :type training_config: oci.generative_ai.models.TrainingConfig """ self.swagger_types = { 'training_dataset': 'Dataset', 'dedicated_ai_cluster_id': 'str', 'training_config': 'TrainingConfig' } self.attribute_map = { 'training_dataset': 'trainingDataset', 'dedicated_ai_cluster_id': 'dedicatedAiClusterId', 'training_config': 'trainingConfig' } self._training_dataset = None self._dedicated_ai_cluster_id = None self._training_config = None @property def training_dataset(self): """ **[Required]** Gets the training_dataset of this FineTuneDetails. :return: The training_dataset of this FineTuneDetails. :rtype: oci.generative_ai.models.Dataset """ return self._training_dataset @training_dataset.setter def training_dataset(self, training_dataset): """ Sets the training_dataset of this FineTuneDetails. :param training_dataset: The training_dataset of this FineTuneDetails. :type: oci.generative_ai.models.Dataset """ self._training_dataset = training_dataset @property def dedicated_ai_cluster_id(self): """ **[Required]** Gets the dedicated_ai_cluster_id of this FineTuneDetails. The OCID of the dedicated AI cluster this fine-tuning runs on. :return: The dedicated_ai_cluster_id of this FineTuneDetails. :rtype: str """ return self._dedicated_ai_cluster_id @dedicated_ai_cluster_id.setter def dedicated_ai_cluster_id(self, dedicated_ai_cluster_id): """ Sets the dedicated_ai_cluster_id of this FineTuneDetails. The OCID of the dedicated AI cluster this fine-tuning runs on. :param dedicated_ai_cluster_id: The dedicated_ai_cluster_id of this FineTuneDetails. :type: str """ self._dedicated_ai_cluster_id = dedicated_ai_cluster_id @property def training_config(self): """ Gets the training_config of this FineTuneDetails. :return: The training_config of this FineTuneDetails. :rtype: oci.generative_ai.models.TrainingConfig """ return self._training_config @training_config.setter def training_config(self, training_config): """ Sets the training_config of this FineTuneDetails. :param training_config: The training_config of this FineTuneDetails. :type: oci.generative_ai.models.TrainingConfig """ self._training_config = training_config 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
| ver. 1.4 |
Github
|
.
| PHP 8.2.32 | Generation time: 0.06 |
proxy
|
phpinfo
|
Settings