o ɶdr@s8ddlmZmZmZddlmZeGdddeZdS))formatted_flat_dict NONE_SENTINEL#value_allowed_none_or_none_sentinel)init_model_state_from_kwargsc@seZdZdZdZdZdZdZdZdZ dZ d Z d d Z e d d Zejdd Ze ddZejddZe ddZejddZe ddZejddZe ddZejddZe ddZejddZe ddZejd dZe d!d"Zejd#d"Ze d$d%Zejd&d%Ze d'd(Zejd)d(Ze d*d+Zejd,d+Ze d-d.Zejd/d.Ze d0d1Zejd2d1Ze d3d4Zejd5d4Ze d6d7Zejd8d7Ze d9d:Zejd;d:Ze dd=Ze d?d@Z e jdAd@Z e dBdCZ!e!jdDdCZ!e dEdFZ"e"jdGdFZ"e dHdIZ#e#jdJdIZ#e dKdLZ$e$jdMdLZ$e dNdOZ%e%jdPdOZ%e dQdRZ&e&jdSdRZ&e dTdUZ'e'jdVdUZ'e dWdXZ(e(jdYdXZ(e dZd[Z)e)jd\d[Z)d]d^Z*d_d`Z+dadbZ,dcS)dModelz Machine-learned Model. IMAGE_CLASSIFICATIONOBJECT_DETECTIONCREATINGUPDATINGACTIVEDELETINGDELETEDFAILEDc Ksiddddddddddddd d d d d d dd dd ddddddddddddd d d d ddddddd |_iddddddddddddd dd d d d!dd"dd#dd$dd%dd&dd'dd(dd)d*d+d,d-d.d/d0d1d2d3d |_d4|_d4|_d4|_d4|_d4|_d4|_d4|_d4|_ d4|_ d4|_ d4|_ d4|_ d4|_d4|_d4|_d4|_d4|_d4|_d4|_d4|_d4|_d4|_d4|_d4|_d4|_d4|_d4|_d4S)5aD Initializes a new Model object with values from keyword arguments. 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)) idstr display_name descriptioncompartment_id model_type is_quick_modeboolmax_training_duration_in_hoursfloattrained_duration_in_hourstraining_datasetZDatasettesting_datasetvalidation_dataset model_version project_id time_createddatetime time_updatedlifecycle_statelifecycle_detailsintzdict(str, str)zdict(str, dict(str, object))) precisionrecallaverage_precisionconfidence_thresholdtotal_image_counttest_image_countmetrics freeform_tags defined_tags system_tagsZ displayNameZ compartmentIdZ modelTypeZ isQuickModeZmaxTrainingDurationInHoursZtrainedDurationInHoursZtrainingDatasetZtestingDatasetZvalidationDatasetZ modelVersionZ projectIdZ timeCreatedZ timeUpdatedZlifecycleStateZlifecycleDetailsr%r&ZaveragePrecisionZconfidenceThresholdZtotalImageCountZtestImageCountr+Z freeformTagsZ definedTagsZ systemTagsN)Z swagger_typesZ attribute_map_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_tags)selfkwargsrL>usr/lib/python3.10/site-packages/oci/ai_vision/models/model.py__init__2sv             zModel.__init__cC|jS)z **[Required]** Gets the id of this Model. A unique identifier that is immutable after creation. :return: The id of this Model. :rtype: str r/rJrLrLrMr zModel.idcC ||_dS)z Sets the id of this Model. A unique identifier that is immutable after creation. :param id: The id of this Model. :type: str NrP)rJrrLrLrMr  cCrO)z Gets the display_name of this Model. A human-friendly name for the model, which can be changed. :return: The display_name of this Model. :rtype: str r0rQrLrLrMrrRzModel.display_namecCrS)z Sets the display_name of this Model. A human-friendly name for the model, which can be changed. :param display_name: The display_name of this Model. :type: str NrU)rJrrLrLrMr$rTcCrO)z Gets the description of this Model. An optional description of the model. :return: The description of this Model. :rtype: str r1rQrLrLrMr0rRzModel.descriptioncCrS)z Sets the description of this Model. An optional description of the model. :param description: The description of this Model. :type: str NrV)rJrrLrLrMr<rTcCrO)z **[Required]** Gets the compartment_id of this Model. The compartment identifier. :return: The compartment_id of this Model. :rtype: str r2rQrLrLrMrHrRzModel.compartment_idcCrS)z Sets the compartment_id of this Model. The compartment identifier. :param compartment_id: The compartment_id of this Model. :type: str NrW)rJrrLrLrMrTrTcCrO)a **[Required]** Gets the model_type of this Model. What type of Vision model this is. 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'. :return: The model_type of this Model. :rtype: str )r3rQrLrLrMr` zModel.model_typecCs ddg}t||s d}||_dS)z Sets the model_type of this Model. What type of Vision model this is. :param model_type: The model_type of this Model. :type: str rrUNKNOWN_ENUM_VALUEN)rr3)rJrallowed_valuesrLrLrMro  cCrO)a' Gets the is_quick_mode of this Model. Set to true when experimenting with a new model type or dataset, so model training is quick, with a predefined low number of passes through the training data. :return: The is_quick_mode of this Model. :rtype: bool r4rQrLrLrMr~rRzModel.is_quick_modecCrS)a3 Sets the is_quick_mode of this Model. Set to true when experimenting with a new model type or dataset, so model training is quick, with a predefined low number of passes through the training data. :param is_quick_mode: The is_quick_mode of this Model. :type: bool Nr\)rJrrLrLrMrrTcCrO)z Gets the max_training_duration_in_hours of this Model. The maximum model training duration in hours, expressed as a decimal fraction. :return: The max_training_duration_in_hours of this Model. :rtype: float r5rQrLrLrMrrRz$Model.max_training_duration_in_hourscCrS)a Sets the max_training_duration_in_hours of this Model. The maximum model training duration in hours, expressed as a decimal fraction. :param max_training_duration_in_hours: The max_training_duration_in_hours of this Model. :type: float Nr])rJrrLrLrMrrTcCrO)z Gets the trained_duration_in_hours of this Model. The total hours actually used for model training. :return: The trained_duration_in_hours of this Model. :rtype: float r6rQrLrLrMrrRzModel.trained_duration_in_hourscCrS)z Sets the trained_duration_in_hours of this Model. The total hours actually used for model training. :param trained_duration_in_hours: The trained_duration_in_hours of this Model. :type: float Nr^)rJrrLrLrMrrTcCrO)z **[Required]** Gets the training_dataset of this Model. :return: The training_dataset of this Model. :rtype: oci.ai_vision.models.Dataset r7rQrLrLrMrzModel.training_datasetcCrS)z Sets the training_dataset of this Model. :param training_dataset: The training_dataset of this Model. :type: oci.ai_vision.models.Dataset Nr_)rJrrLrLrMr cCrO)z Gets the testing_dataset of this Model. :return: The testing_dataset of this Model. :rtype: oci.ai_vision.models.Dataset r8rQrLrLrMrr`zModel.testing_datasetcCrS)z Sets the testing_dataset of this Model. :param testing_dataset: The testing_dataset of this Model. :type: oci.ai_vision.models.Dataset Nrb)rJrrLrLrMrracCrO)z Gets the validation_dataset of this Model. :return: The validation_dataset of this Model. :rtype: oci.ai_vision.models.Dataset r9rQrLrLrMrr`zModel.validation_datasetcCrS)z Sets the validation_dataset of this Model. :param validation_dataset: The validation_dataset of this Model. :type: oci.ai_vision.models.Dataset Nrc)rJrrLrLrMrracCrO)z **[Required]** Gets the model_version of this Model. The version of the model. :return: The model_version of this Model. :rtype: str r:rQrLrLrMrrRzModel.model_versioncCrS)z Sets the model_version of this Model. The version of the model. :param model_version: The model_version of this Model. :type: str Nrd)rJrrLrLrMrrTcCrO)a **[Required]** Gets the project_id of this Model. The `OCID`__ of the project that contains the model. __ https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm :return: The project_id of this Model. :rtype: str r;rQrLrLrMrs zModel.project_idcCrS)a Sets the project_id of this Model. The `OCID`__ of the project that contains the model. __ https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm :param project_id: The project_id of this Model. :type: str Nre)rJrrLrLrMr(s cCrO)z **[Required]** Gets the time_created of this Model. When the model was created, as an RFC3339 datetime string. :return: The time_created of this Model. :rtype: datetime r<rQrLrLrMr6rRzModel.time_createdcCrS)z Sets the time_created of this Model. When the model was created, as an RFC3339 datetime string. :param time_created: The time_created of this Model. :type: datetime Nrf)rJrrLrLrMrBrTcCrO)z Gets the time_updated of this Model. When the model was updated, as an RFC3339 datetime string. :return: The time_updated of this Model. :rtype: datetime r=rQrLrLrMr!NrRzModel.time_updatedcCrS)z Sets the time_updated of this Model. When the model was updated, as an RFC3339 datetime string. :param time_updated: The time_updated of this Model. :type: datetime Nrg)rJr!rLrLrMr!ZrTcCrO)a **[Required]** Gets the lifecycle_state of this Model. The current state of the 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'. :return: The lifecycle_state of this Model. :rtype: str )r>rQrLrLrMr"frXzModel.lifecycle_statecCs gd}t||s d}||_dS)z Sets the lifecycle_state of this Model. The current state of the model. :param lifecycle_state: The lifecycle_state of this Model. :type: str )r r r r r rrYN)rr>)rJr"rZrLrLrMr"ur[cCrO)a Gets the lifecycle_details of this Model. A message describing the current state in more detail, that can provide actionable information if training failed. :return: The lifecycle_details of this Model. :rtype: str r?rQrLrLrMr#rRzModel.lifecycle_detailscCrS)a Sets the lifecycle_details of this Model. A message describing the current state in more detail, that can provide actionable information if training failed. :param lifecycle_details: The lifecycle_details of this Model. :type: str Nrh)rJr#rLrLrMr#rTcCrO)z Gets the precision of this Model. The precision of the trained model. :return: The precision of this Model. :rtype: float r@rQrLrLrMr%rRzModel.precisioncCrS)z Sets the precision of this Model. The precision of the trained model. :param precision: The precision of this Model. :type: float Nri)rJr%rLrLrMr%rTcCrO)z Gets the recall of this Model. Recall of the trained model. :return: The recall of this Model. :rtype: float rArQrLrLrMr&rRz Model.recallcCrS)z Sets the recall of this Model. Recall of the trained model. :param recall: The recall of this Model. :type: float Nrj)rJr&rLrLrMr&rTcCrO)z Gets the average_precision of this Model. The mean average precision of the trained model. :return: The average_precision of this Model. :rtype: float rBrQrLrLrMr'rRzModel.average_precisioncCrS)z Sets the average_precision of this Model. The mean average precision of the trained model. :param average_precision: The average_precision of this Model. :type: float Nrk)rJr'rLrLrMr'rTcCrO)z Gets the confidence_threshold of this Model. The intersection over the union threshold used for calculating precision and recall. :return: The confidence_threshold of this Model. :rtype: float rCrQrLrLrMr(rRzModel.confidence_thresholdcCrS)z Sets the confidence_threshold of this Model. The intersection over the union threshold used for calculating precision and recall. :param confidence_threshold: The confidence_threshold of this Model. :type: float Nrl)rJr(rLrLrMr(rTcCrO)z Gets the total_image_count of this Model. The number of images in the dataset used to train, validate, and test the model. :return: The total_image_count of this Model. :rtype: int rDrQrLrLrMr)rRzModel.total_image_countcCrS)z Sets the total_image_count of this Model. The number of images in the dataset used to train, validate, and test the model. :param total_image_count: The total_image_count of this Model. :type: int Nrm)rJr)rLrLrMr)rTcCrO)z Gets the test_image_count of this Model. The number of images set aside for evaluating model performance metrics after training. :return: The test_image_count of this Model. :rtype: int rErQrLrLrMr*rRzModel.test_image_countcCrS)z Sets the test_image_count of this Model. The number of images set aside for evaluating model performance metrics after training. :param test_image_count: The test_image_count of this Model. :type: int Nrn)rJr*rLrLrMr* rTcCrO)z Gets the metrics of this Model. The complete set of per-label metrics for successfully trained models. :return: The metrics of this Model. :rtype: str rFrQrLrLrMr+,rRz Model.metricscCrS)z Sets the metrics of this Model. The complete set of per-label metrics for successfully trained models. :param metrics: The metrics of this Model. :type: str Nro)rJr+rLrLrMr+8rTcCrO)a; Gets the freeform_tags of this Model. A simple key-value pair that is applied without any predefined name, type, or scope. It exists for cross-compatibility only. For example: `{"bar-key": "value"}` :return: The freeform_tags of this Model. :rtype: dict(str, str) rGrQrLrLrMr,D zModel.freeform_tagscCrS)aG Sets the freeform_tags of this Model. A simple key-value pair that is applied without any predefined name, type, or scope. It exists for cross-compatibility only. For example: `{"bar-key": "value"}` :param freeform_tags: The freeform_tags of this Model. :type: dict(str, str) Nrp)rJr,rLrLrMr,Q cCrO)a/ Gets the defined_tags of this Model. Defined tags for this resource. Each key is predefined and scoped to a namespace. For example: `{"foo-namespace": {"bar-key": "value"}}` :return: The defined_tags of this Model. :rtype: dict(str, dict(str, object)) rHrQrLrLrMr-^rqzModel.defined_tagscCrS)a: Sets the defined_tags of this Model. Defined tags for this resource. Each key is predefined and scoped to a namespace. For example: `{"foo-namespace": {"bar-key": "value"}}` :param defined_tags: The defined_tags of this Model. :type: dict(str, dict(str, object)) Nrs)rJr-rLrLrMr-krrcCrO)a, Gets the system_tags of this Model. Usage of system tag keys. These predefined keys are scoped to namespaces. For example: `{"orcl-cloud": {"free-tier-retained": "true"}}` :return: The system_tags of this Model. :rtype: dict(str, dict(str, object)) rIrQrLrLrMr.xrqzModel.system_tagscCrS)a6 Sets the system_tags of this Model. Usage of system tag keys. These predefined keys are scoped to namespaces. For example: `{"orcl-cloud": {"free-tier-retained": "true"}}` :param system_tags: The system_tags of this Model. :type: dict(str, dict(str, object)) Nrt)rJr.rLrLrMr.rrcCst|SN)rrQrLrLrM__repr__szModel.__repr__cCs|durdS|j|jkS)NF)__dict__rJotherrLrLrM__eq__s z Model.__eq__cCs ||k SrurLrxrLrLrM__ne__s z Model.__ne__N)-__name__ __module__ __qualname____doc__ZMODEL_TYPE_IMAGE_CLASSIFICATIONZMODEL_TYPE_OBJECT_DETECTIONZLIFECYCLE_STATE_CREATINGZLIFECYCLE_STATE_UPDATINGZLIFECYCLE_STATE_ACTIVEZLIFECYCLE_STATE_DELETINGZLIFECYCLE_STATE_DELETEDZLIFECYCLE_STATE_FAILEDrNpropertyrsetterrrrrrrrrrrrrrr!r"r#r%r&r'r(r)r*r+r,r-r.rvrzr{rLrLrLrMr sO                                                        rN)Zoci.utilrrrZoci.decoratorsrobjectrrLrLrLrMs