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Edit: model_metrics.cpython-39.pyc
a ���fP � @ s8 d dl mZmZmZ d dlmZ eG dd� de��ZdS )� )�formatted_flat_dict� NONE_SENTINEL�#value_allowed_none_or_none_sentinel)� init_model_state_from_kwargsc @ sx e Zd ZdZdZdZdd� Zedd� �Ze dd � �Z e j d d � �Z e d d � �Z e j d d � �Z dd� Z dd� Zdd� ZdS )� ModelMetricsz Trained Model Metrics. �KEY_VALUE_EXTRACTION�DOCUMENT_CLASSIFICATIONc K s( ddd�| _ ddd�| _d| _d| _dS )a2 Initializes a new ModelMetrics object with values from keyword arguments. This class has the following subclasses and if you are using this class as input to a service operations then you should favor using a subclass over the base class: * :class:`~oci.ai_document.models.DocumentClassificationModelMetrics` * :class:`~oci.ai_document.models.KeyValueDetectionModelMetrics` The following keyword arguments are supported (corresponding to the getters/setters of this class): :param model_type: The value to assign to the model_type property of this ModelMetrics. Allowed values for this property are: "KEY_VALUE_EXTRACTION", "DOCUMENT_CLASSIFICATION", 'UNKNOWN_ENUM_VALUE'. Any unrecognized values returned by a service will be mapped to 'UNKNOWN_ENUM_VALUE'. :type model_type: str :param dataset_summary: The value to assign to the dataset_summary property of this ModelMetrics. :type dataset_summary: oci.ai_document.models.DatasetSummary �strZDatasetSummary)� model_type�dataset_summary� modelTypeZdatasetSummaryN)Z swagger_typesZ attribute_map� _model_type�_dataset_summary)�self�kwargs� r �H/usr/lib/python3.9/site-packages/oci/ai_document/models/model_metrics.py�__init__ s ��zModelMetrics.__init__c C s( | d }|dkrdS |dkr dS dS dS )z� Given the hash representation of a subtype of this class, use the info in the hash to return the class of the subtype. r r Z"DocumentClassificationModelMetricsr Z KeyValueDetectionModelMetricsr Nr )Zobject_dictionary�typer r r � get_subtype< s zModelMetrics.get_subtypec C s | j S )a� **[Required]** Gets the model_type of this ModelMetrics. The type of custom model trained. Allowed values for this property are: "KEY_VALUE_EXTRACTION", "DOCUMENT_CLASSIFICATION", 'UNKNOWN_ENUM_VALUE'. Any unrecognized values returned by a service will be mapped to 'UNKNOWN_ENUM_VALUE'. :return: The model_type of this ModelMetrics. :rtype: str )r �r r r r r L s zModelMetrics.model_typec C s ddg}t ||�sd}|| _dS )z� Sets the model_type of this ModelMetrics. The type of custom model trained. :param model_type: The model_type of this ModelMetrics. :type: str r r ZUNKNOWN_ENUM_VALUEN)r r )r r Zallowed_valuesr r r r [ s c C s | j S )z� Gets the dataset_summary of this ModelMetrics. :return: The dataset_summary of this ModelMetrics. :rtype: oci.ai_document.models.DatasetSummary �r r r r r r j s z ModelMetrics.dataset_summaryc C s || _ dS )z� Sets the dataset_summary of this ModelMetrics. :param dataset_summary: The dataset_summary of this ModelMetrics. :type: oci.ai_document.models.DatasetSummary Nr )r r r r r r t s c C s t | �S �N)r r r r r �__repr__~ s zModelMetrics.__repr__c C s |d u r dS | j |j kS )NF)�__dict__�r �otherr r r �__eq__� s zModelMetrics.__eq__c C s | |k S r r r r r r �__ne__� s zModelMetrics.__ne__N)�__name__� __module__� __qualname__�__doc__Z MODEL_TYPE_KEY_VALUE_EXTRACTIONZ"MODEL_TYPE_DOCUMENT_CLASSIFICATIONr � staticmethodr �propertyr �setterr r r r r r r r r s" " r N)Zoci.utilr r r Zoci.decoratorsr �objectr r r r r �<module> s