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ai_vision
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📁 models
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Lokasi:
/usr/libexec/oracle-cloud-agent/plugins/osms/oci/ai_vision/models
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✏️ Mengedit: model.pyc
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The following keyword arguments are supported (corresponding to the getters/setters of this class): :param id: The value to assign to the id property of this Model. :type id: str :param display_name: The value to assign to the display_name property of this Model. :type display_name: str :param description: The value to assign to the description property of this Model. :type description: str :param compartment_id: The value to assign to the compartment_id property of this Model. :type compartment_id: str :param model_type: The value to assign to the model_type property of this Model. Allowed values for this property are: "IMAGE_CLASSIFICATION", "OBJECT_DETECTION", 'UNKNOWN_ENUM_VALUE'. Any unrecognized values returned by a service will be mapped to 'UNKNOWN_ENUM_VALUE'. :type model_type: str :param is_quick_mode: The value to assign to the is_quick_mode property of this Model. :type is_quick_mode: bool :param max_training_duration_in_hours: The value to assign to the max_training_duration_in_hours property of this Model. :type max_training_duration_in_hours: float :param trained_duration_in_hours: The value to assign to the trained_duration_in_hours property of this Model. :type trained_duration_in_hours: float :param training_dataset: The value to assign to the training_dataset property of this Model. :type training_dataset: oci.ai_vision.models.Dataset :param testing_dataset: The value to assign to the testing_dataset property of this Model. :type testing_dataset: oci.ai_vision.models.Dataset :param validation_dataset: The value to assign to the validation_dataset property of this Model. :type validation_dataset: oci.ai_vision.models.Dataset :param model_version: The value to assign to the model_version property of this Model. :type model_version: str :param project_id: The value to assign to the project_id property of this Model. :type project_id: str :param time_created: The value to assign to the time_created property of this Model. :type time_created: datetime :param time_updated: The value to assign to the time_updated property of this Model. :type time_updated: datetime :param lifecycle_state: The value to assign to the lifecycle_state property of this Model. Allowed values for this property are: "CREATING", "UPDATING", "ACTIVE", "DELETING", "DELETED", "FAILED", 'UNKNOWN_ENUM_VALUE'. Any unrecognized values returned by a service will be mapped to 'UNKNOWN_ENUM_VALUE'. :type lifecycle_state: str :param lifecycle_details: The value to assign to the lifecycle_details property of this Model. :type lifecycle_details: str :param precision: The value to assign to the precision property of this Model. :type precision: float :param recall: The value to assign to the recall property of this Model. :type recall: float :param average_precision: The value to assign to the average_precision property of this Model. :type average_precision: float :param confidence_threshold: The value to assign to the confidence_threshold property of this Model. :type confidence_threshold: float :param total_image_count: The value to assign to the total_image_count property of this Model. :type total_image_count: int :param test_image_count: The value to assign to the test_image_count property of this Model. :type test_image_count: int :param metrics: The value to assign to the metrics property of this Model. :type metrics: str :param freeform_tags: The value to assign to the freeform_tags property of this Model. :type freeform_tags: dict(str, str) :param defined_tags: The value to assign to the defined_tags property of this Model. :type defined_tags: dict(str, dict(str, object)) :param system_tags: The value to assign to the system_tags property of this Model. :type system_tags: dict(str, dict(str, object)) �str�bool�float�Dataset�datetime�intzdict(str, str)zdict(str, dict(str, object)))�id�display_name�description�compartment_id� model_type� is_quick_mode�max_training_duration_in_hours�trained_duration_in_hours�training_dataset�testing_dataset�validation_dataset� model_version� project_id�time_created�time_updated�lifecycle_state�lifecycle_details� precision�recall�average_precision�confidence_threshold�total_image_count�test_image_count�metrics� freeform_tags�defined_tags�system_tagsr �displayNamer � compartmentId� modelType�isQuickMode�maxTrainingDurationInHours�trainedDurationInHours�trainingDataset�testingDataset�validationDataset�modelVersion� projectId�timeCreated�timeUpdated�lifecycleState�lifecycleDetailsr&