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regen sdk from public-api.yaml spec
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generated/.openapi-generator/FILES

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@@ -42,6 +42,7 @@ docs/Label.md
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docs/LabelValue.md
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docs/LabelValueRequest.md
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docs/LabelsApi.md
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docs/MLPipeline.md
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docs/ModeEnum.md
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docs/MonthToDateAccountInfoApi.md
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docs/MultiClassModeConfiguration.md
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docs/NotesApi.md
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docs/PaginatedDetectorList.md
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docs/PaginatedImageQueryList.md
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docs/PaginatedMLPipelineList.md
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docs/PaginatedPrimingGroupList.md
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docs/PaginatedRuleList.md
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docs/PatchedDetectorRequest.md
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docs/PayloadTemplate.md
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docs/PayloadTemplateRequest.md
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docs/PrimingGroup.md
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docs/PrimingGroupCreationInputRequest.md
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docs/PrimingGroupsApi.md
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docs/ROI.md
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docs/ROIRequest.md
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docs/ResultTypeEnum.md
@@ -82,6 +88,7 @@ groundlight_openapi_client/api/image_queries_api.py
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groundlight_openapi_client/api/labels_api.py
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groundlight_openapi_client/api/month_to_date_account_info_api.py
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groundlight_openapi_client/api/notes_api.py
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groundlight_openapi_client/api/priming_groups_api.py
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groundlight_openapi_client/api/user_api.py
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groundlight_openapi_client/api_client.py
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groundlight_openapi_client/apis/__init__.py
@@ -123,17 +130,22 @@ groundlight_openapi_client/model/inline_response200_summary_class_counts.py
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groundlight_openapi_client/model/label.py
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groundlight_openapi_client/model/label_value.py
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groundlight_openapi_client/model/label_value_request.py
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groundlight_openapi_client/model/ml_pipeline.py
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groundlight_openapi_client/model/mode_enum.py
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groundlight_openapi_client/model/multi_class_mode_configuration.py
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groundlight_openapi_client/model/multi_classification_result.py
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groundlight_openapi_client/model/note.py
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groundlight_openapi_client/model/note_request.py
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groundlight_openapi_client/model/paginated_detector_list.py
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groundlight_openapi_client/model/paginated_image_query_list.py
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groundlight_openapi_client/model/paginated_ml_pipeline_list.py
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groundlight_openapi_client/model/paginated_priming_group_list.py
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groundlight_openapi_client/model/paginated_rule_list.py
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groundlight_openapi_client/model/patched_detector_request.py
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groundlight_openapi_client/model/payload_template.py
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groundlight_openapi_client/model/payload_template_request.py
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groundlight_openapi_client/model/priming_group.py
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groundlight_openapi_client/model/priming_group_creation_input_request.py
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groundlight_openapi_client/model/result_type_enum.py
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groundlight_openapi_client/model/roi.py
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groundlight_openapi_client/model/roi_request.py
@@ -156,4 +168,10 @@ setup.cfg
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setup.py
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test-requirements.txt
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test/__init__.py
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test/test_ml_pipeline.py
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test/test_paginated_ml_pipeline_list.py
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test/test_paginated_priming_group_list.py
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test/test_priming_group.py
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test/test_priming_group_creation_input_request.py
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test/test_priming_groups_api.py
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tox.ini

generated/README.md

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@@ -128,6 +128,7 @@ Class | Method | HTTP request | Description
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*DetectorsApi* | [**get_detector**](docs/DetectorsApi.md#get_detector) | **GET** /v1/detectors/{id} |
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*DetectorsApi* | [**get_detector_evaluation**](docs/DetectorsApi.md#get_detector_evaluation) | **GET** /v1/detectors/{id}/evaluation |
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*DetectorsApi* | [**get_detector_metrics**](docs/DetectorsApi.md#get_detector_metrics) | **GET** /v1/detectors/{detector_id}/metrics |
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*DetectorsApi* | [**list_detector_pipelines**](docs/DetectorsApi.md#list_detector_pipelines) | **GET** /v1/detectors/{detector_id}/pipelines |
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*DetectorsApi* | [**list_detectors**](docs/DetectorsApi.md#list_detectors) | **GET** /v1/detectors |
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*DetectorsApi* | [**update_detector**](docs/DetectorsApi.md#update_detector) | **PATCH** /v1/detectors/{id} |
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*EdgeApi* | [**edge_report_metrics_create**](docs/EdgeApi.md#edge_report_metrics_create) | **POST** /v1/edge/report-metrics |
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*MonthToDateAccountInfoApi* | [**month_to_date_account_info**](docs/MonthToDateAccountInfoApi.md#month_to_date_account_info) | **GET** /v1/month-to-date-account-info |
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*NotesApi* | [**create_note**](docs/NotesApi.md#create_note) | **POST** /v1/notes |
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*NotesApi* | [**get_notes**](docs/NotesApi.md#get_notes) | **GET** /v1/notes |
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*PrimingGroupsApi* | [**create_priming_group**](docs/PrimingGroupsApi.md#create_priming_group) | **POST** /v1/priming-groups |
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*PrimingGroupsApi* | [**delete_priming_group**](docs/PrimingGroupsApi.md#delete_priming_group) | **DELETE** /v1/priming-groups/{id} |
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*PrimingGroupsApi* | [**get_priming_group**](docs/PrimingGroupsApi.md#get_priming_group) | **GET** /v1/priming-groups/{id} |
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*PrimingGroupsApi* | [**list_priming_groups**](docs/PrimingGroupsApi.md#list_priming_groups) | **GET** /v1/priming-groups |
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*UserApi* | [**who_am_i**](docs/UserApi.md#who_am_i) | **GET** /v1/me |
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- [Label](docs/Label.md)
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- [LabelValue](docs/LabelValue.md)
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- [LabelValueRequest](docs/LabelValueRequest.md)
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- [MLPipeline](docs/MLPipeline.md)
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- [ModeEnum](docs/ModeEnum.md)
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- [MultiClassModeConfiguration](docs/MultiClassModeConfiguration.md)
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- [MultiClassificationResult](docs/MultiClassificationResult.md)
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- [Note](docs/Note.md)
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- [NoteRequest](docs/NoteRequest.md)
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- [PaginatedDetectorList](docs/PaginatedDetectorList.md)
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- [PaginatedImageQueryList](docs/PaginatedImageQueryList.md)
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- [PaginatedMLPipelineList](docs/PaginatedMLPipelineList.md)
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- [PaginatedPrimingGroupList](docs/PaginatedPrimingGroupList.md)
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- [PaginatedRuleList](docs/PaginatedRuleList.md)
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- [PatchedDetectorRequest](docs/PatchedDetectorRequest.md)
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- [PayloadTemplate](docs/PayloadTemplate.md)
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- [PayloadTemplateRequest](docs/PayloadTemplateRequest.md)
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- [PrimingGroup](docs/PrimingGroup.md)
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- [PrimingGroupCreationInputRequest](docs/PrimingGroupCreationInputRequest.md)
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- [ROI](docs/ROI.md)
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- [ROIRequest](docs/ROIRequest.md)
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- [ResultTypeEnum](docs/ResultTypeEnum.md)

generated/docs/DetectorsApi.md

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[**get_detector**](DetectorsApi.md#get_detector) | **GET** /v1/detectors/{id} |
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[**get_detector_evaluation**](DetectorsApi.md#get_detector_evaluation) | **GET** /v1/detectors/{id}/evaluation |
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[**get_detector_metrics**](DetectorsApi.md#get_detector_metrics) | **GET** /v1/detectors/{detector_id}/metrics |
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[**list_detector_pipelines**](DetectorsApi.md#list_detector_pipelines) | **GET** /v1/detectors/{detector_id}/pipelines |
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[**list_detectors**](DetectorsApi.md#list_detectors) | **GET** /v1/detectors |
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[**update_detector**](DetectorsApi.md#update_detector) | **PATCH** /v1/detectors/{id} |
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- **Accept**: application/json
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### HTTP response details
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| Status code | Description | Response headers |
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|-------------|-------------|------------------|
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**200** | | - |
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[[Back to top]](#) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to Model list]](../README.md#documentation-for-models) [[Back to README]](../README.md)
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# **list_detector_pipelines**
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> PaginatedMLPipelineList list_detector_pipelines(detector_id)
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List all MLPipelines for a detector.
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### Example
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* Api Key Authentication (ApiToken):
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```python
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import time
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import groundlight_openapi_client
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from groundlight_openapi_client.api import detectors_api
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from groundlight_openapi_client.model.paginated_ml_pipeline_list import PaginatedMLPipelineList
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from pprint import pprint
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# Defining the host is optional and defaults to https://api.groundlight.ai/device-api
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# See configuration.py for a list of all supported configuration parameters.
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configuration = groundlight_openapi_client.Configuration(
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host = "https://api.groundlight.ai/device-api"
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)
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# The client must configure the authentication and authorization parameters
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# in accordance with the API server security policy.
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# Examples for each auth method are provided below, use the example that
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# satisfies your auth use case.
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# Configure API key authorization: ApiToken
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configuration.api_key['ApiToken'] = 'YOUR_API_KEY'
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# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
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# configuration.api_key_prefix['ApiToken'] = 'Bearer'
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# Enter a context with an instance of the API client
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with groundlight_openapi_client.ApiClient(configuration) as api_client:
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# Create an instance of the API class
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api_instance = detectors_api.DetectorsApi(api_client)
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detector_id = "detector_id_example" # str |
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ordering = "ordering_example" # str | Which field to use when ordering the results. (optional)
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page = 1 # int | A page number within the paginated result set. (optional)
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page_size = 1 # int | Number of results to return per page. (optional)
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search = "search_example" # str | A search term. (optional)
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# example passing only required values which don't have defaults set
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try:
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api_response = api_instance.list_detector_pipelines(detector_id)
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pprint(api_response)
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except groundlight_openapi_client.ApiException as e:
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print("Exception when calling DetectorsApi->list_detector_pipelines: %s\n" % e)
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# example passing only required values which don't have defaults set
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# and optional values
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try:
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api_response = api_instance.list_detector_pipelines(detector_id, ordering=ordering, page=page, page_size=page_size, search=search)
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pprint(api_response)
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except groundlight_openapi_client.ApiException as e:
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print("Exception when calling DetectorsApi->list_detector_pipelines: %s\n" % e)
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```
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### Parameters
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Name | Type | Description | Notes
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------------- | ------------- | ------------- | -------------
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**detector_id** | **str**| |
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**ordering** | **str**| Which field to use when ordering the results. | [optional]
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**page** | **int**| A page number within the paginated result set. | [optional]
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**page_size** | **int**| Number of results to return per page. | [optional]
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**search** | **str**| A search term. | [optional]
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### Return type
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[**PaginatedMLPipelineList**](PaginatedMLPipelineList.md)
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### Authorization
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[ApiToken](../README.md#ApiToken)
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### HTTP request headers
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- **Accept**: application/json
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generated/docs/MLPipeline.md

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# MLPipeline
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A single ML pipeline attached to a detector.
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## Properties
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Name | Type | Description | Notes
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------------ | ------------- | ------------- | -------------
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**id** | **str** | | [readonly]
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**pipeline_config** | **str, none_type** | configuration needed to instantiate a prediction pipeline. | [readonly]
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**is_active_pipeline** | **bool** | If True, this is the pipeline is used for inference, active learning, etc. for its parent Predictor. | [readonly]
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**is_edge_pipeline** | **bool** | If True, this pipeline is enabled for edge inference. | [readonly]
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**is_unclear_pipeline** | **bool** | If True, this pipeline is used to train classifier for human unclear label prediction. | [readonly]
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**is_oodd_pipeline** | **bool** | If True, this pipeline is used for OODD. | [readonly]
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**is_enabled** | **bool** | If False, this pipeline will not be run for any use case. | [readonly]
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**created_at** | **datetime** | | [readonly]
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**trained_at** | **datetime, none_type** | | [readonly]
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**any string name** | **bool, date, datetime, dict, float, int, list, str, none_type** | any string name can be used but the value must be the correct type | [optional]
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[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)
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# PaginatedMLPipelineList
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## Properties
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Name | Type | Description | Notes
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------------ | ------------- | ------------- | -------------
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**count** | **int** | |
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**results** | [**[MLPipeline]**](MLPipeline.md) | |
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**next** | **str, none_type** | | [optional]
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**previous** | **str, none_type** | | [optional]
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**any string name** | **bool, date, datetime, dict, float, int, list, str, none_type** | any string name can be used but the value must be the correct type | [optional]
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[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)
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# PaginatedPrimingGroupList
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## Properties
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**count** | **int** | |
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**results** | [**[PrimingGroup]**](PrimingGroup.md) | |
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**next** | **str, none_type** | | [optional]
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**previous** | **str, none_type** | | [optional]
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**any string name** | **bool, date, datetime, dict, float, int, list, str, none_type** | any string name can be used but the value must be the correct type | [optional]
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[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)
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generated/docs/PrimingGroup.md

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# PrimingGroup
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A PrimingGroup owned by the authenticated user.
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## Properties
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Name | Type | Description | Notes
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------------ | ------------- | ------------- | -------------
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**id** | **str** | | [readonly]
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**name** | **str** | |
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**is_global** | **bool** | If True, this priming group is shared to all Groundlight users by Groundlight admins. | [readonly]
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**created_at** | **datetime** | | [readonly]
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**canonical_query** | **str, none_type** | Canonical semantic query for this priming group | [optional]
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**active_pipeline_config** | **str, none_type** | Active pipeline config override for detectors in this priming group. If set, this overrides the default active pipeline config. Can be either a pipeline name or full config string. | [optional]
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**priming_group_specific_shadow_pipeline_configs** | **bool, date, datetime, dict, float, int, list, str, none_type** | Priming group-specific shadow pipeline configs to create for detectors in this priming group. These are added to the default shadow pipeline configs for a detector of the given modeEach entry is either a pipeline name or full config string. | [optional]
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**disable_shadow_pipelines** | **bool** | If True, new detectors added to this priming group will not receive the mode-specific default shadow pipelines from INITIAL_SHADOW_PIPELINE_CONFIG_SET. Priming-group-specific shadow configs still apply. Use this to guarantee the primed active MLBinary is never switched off by a shadow pipeline being promoted. | [optional]
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**any string name** | **bool, date, datetime, dict, float, int, list, str, none_type** | any string name can be used but the value must be the correct type | [optional]
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[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)
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# PrimingGroupCreationInputRequest
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Input for creating a new user-owned PrimingGroup seeded from an existing MLPipeline.
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## Properties
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Name | Type | Description | Notes
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------------ | ------------- | ------------- | -------------
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**name** | **str** | Unique name for the new priming group. |
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**source_ml_pipeline_id** | **str** | ID of an MLPipeline owned by this account whose trained model will seed the priming group. |
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**canonical_query** | **str, none_type** | Optional canonical semantic query describing this priming group. | [optional]
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**disable_shadow_pipelines** | **bool** | If true, new detectors added to this priming group will not receive the default shadow pipelines. This guarantees the primed active model is never switched off. | [optional] if omitted the server will use the default value of False
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**any string name** | **bool, date, datetime, dict, float, int, list, str, none_type** | any string name can be used but the value must be the correct type | [optional]
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[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)
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