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fix: UTC-107: Missing num_predictions for batch-predictions (#479)
Co-authored-by: fern-api <115122769+fern-api[bot]@users.noreply.github.com> Co-authored-by: farioas <[email protected]>
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‎.github/workflows/git-command.yml‎

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‎.mock/definition/__package__.yml‎

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@@ -666,15 +666,15 @@ types:
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maxLength: 256
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control_weights:
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type: optional<map<string, unknown>>
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docs: >-
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docs: >
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Dict of weights for each control tag in metric calculation. Each
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control tag (e.g. label or choice) will have it's own key in control
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weight dict with weight for each label and overall weight.For example,
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if bounding box annotation with control tag named my_bbox should be
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included with 0.33 weight in agreement calculation, and the first
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label Car should be twice more important than Airplaine, then you have
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to need the specify: {'my_bbox': {'type': 'RectangleLabels', 'labels':
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{'Car': 1.0, 'Airplaine': 0.5}, 'overall': 0.33}
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control tag (e.g. label or choice) will have its own key in control
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weight dict with weight for each label and overall weight. For
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example, if a bounding box annotation with a control tag named my_bbox
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should be included with 0.33 weight in agreement calculation, and the
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first label Car should be twice as important as Airplane, then you
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need to specify: \{'my_bbox': \{'type': 'RectangleLabels', 'labels':
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\{'Car': 1.0, 'Airplane': 0.5}, 'overall': 0.33}}
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parsed_label_config:
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type: optional<map<string, unknown>>
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docs: JSON-formatted labeling configuration

‎.mock/definition/projects.yml‎

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@@ -62,15 +62,15 @@ types:
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default: '#FFFFFF'
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control_weights:
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type: optional<map<string, unknown>>
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docs: >-
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docs: >
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Dict of weights for each control tag in metric calculation. Each
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control tag (e.g. label or choice) will have its own key in control
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weight dict with weight for each label and overall weight. For
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example, if a bounding box annotation with a control tag named my_bbox
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should be included with 0.33 weight in agreement calculation, and the
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first label Car should be twice as important as Airplane, then you
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need to specify: {'my_bbox': {'type': 'RectangleLabels', 'labels':
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{'Car': 1.0, 'Airplane': 0.5}, 'overall': 0.33}
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need to specify: \{'my_bbox': \{'type': 'RectangleLabels', 'labels':
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\{'Car': 1.0, 'Airplane': 0.5}, 'overall': 0.33}}
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source:
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openapi: openapi/openapi.yaml
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ProjectsUpdateResponse:
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default: '#FFFFFF'
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control_weights:
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type: optional<map<string, unknown>>
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docs: >-
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docs: >
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Dict of weights for each control tag in metric calculation. Each
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control tag (e.g. label or choice) will have its own key in control
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weight dict with weight for each label and overall weight. For
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example, if a bounding box annotation with a control tag named my_bbox
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should be included with 0.33 weight in agreement calculation, and the
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first label Car should be twice as important as Airplane, then you
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need to specify: {'my_bbox': {'type': 'RectangleLabels', 'labels':
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{'Car': 1.0, 'Airplane': 0.5}, 'overall': 0.33}
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need to specify: \{'my_bbox': \{'type': 'RectangleLabels', 'labels':
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\{'Car': 1.0, 'Airplane': 0.5}, 'overall': 0.33}}
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source:
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openapi: openapi/openapi.yaml
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ProjectsImportTasksResponse:
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default: '#FFFFFF'
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control_weights:
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type: optional<map<string, unknown>>
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docs: >-
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docs: >
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Dict of weights for each control tag in metric calculation. Each
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control tag (e.g. label or choice) will have its own key in
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control weight dict with weight for each label and overall
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weight. For example, if a bounding box annotation with a control
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tag named my_bbox should be included with 0.33 weight in
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agreement calculation, and the first label Car should be twice
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as important as Airplane, then you need to specify: {'my_bbox':
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{'type': 'RectangleLabels', 'labels': {'Car': 1.0, 'Airplane':
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0.5}, 'overall': 0.33}
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as important as Airplane, then you need to specify: \{'my_bbox':
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\{'type': 'RectangleLabels', 'labels': \{'Car': 1.0, 'Airplane':
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0.5}, 'overall': 0.33}}
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workspace:
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type: optional<integer>
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docs: Workspace ID
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default: '#FFFFFF'
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control_weights:
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type: optional<map<string, unknown>>
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docs: >-
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docs: >
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Dict of weights for each control tag in metric calculation. Each
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control tag (e.g. label or choice) will have its own key in
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control weight dict with weight for each label and overall
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weight. For example, if a bounding box annotation with a control
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tag named my_bbox should be included with 0.33 weight in
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agreement calculation, and the first label Car should be twice
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as important as Airplane, then you need to specify: {'my_bbox':
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{'type': 'RectangleLabels', 'labels': {'Car': 1.0, 'Airplane':
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0.5}, 'overall': 0.33}
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as important as Airplane, then you need to specify: \{'my_bbox':
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\{'type': 'RectangleLabels', 'labels': \{'Car': 1.0, 'Airplane':
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0.5}, 'overall': 0.33}}
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workspace:
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type: optional<integer>
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docs: Workspace ID

‎.mock/definition/prompts.yml‎

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display-name: Create batch predictions
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request:
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name: PromptsBatchPredictionsRequest
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query-parameters:
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num_predictions:
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type: optional<integer>
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docs: Number of predictions being sent
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body:
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properties:
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modelrun_id:
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display-name: Create batch of failed predictions
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request:
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name: PromptsBatchFailedPredictionsRequest
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query-parameters:
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num_failed_predictions:
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type: optional<integer>
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docs: Number of failed predictions being sent
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body:
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properties:
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modelrun_id:

‎.mock/openapi/openapi.yaml‎

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default: "#FFFFFF"
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control_weights:
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title: control_weights
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description: "Dict of weights for each control tag in metric calculation. Each
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control tag (e.g. label or choice) will have its own key
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in control weight dict with weight for each label and
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overall weight. For example, if a bounding box annotation
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with a control tag named my_bbox should be included with
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0.33 weight in agreement calculation, and the first label
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Car should be twice as important as Airplane, then you
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need to specify: {'my_bbox': {'type': 'RectangleLabels',
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'labels': {'Car': 1.0, 'Airplane': 0.5}, 'overall': 0.33}"
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description: >
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Dict of weights for each control tag in metric calculation. Each
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control tag (e.g. label or choice) will have its own key in
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control weight dict with weight for each label and overall
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weight. For example, if a bounding box annotation with a
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control tag named my_bbox should be included with 0.33 weight
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in agreement calculation, and the first label Car should be
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twice as important as Airplane, then you need to specify:
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\{'my_bbox': \{'type': 'RectangleLabels', 'labels': \{'Car': 1.0,
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'Airplane': 0.5}, 'overall': 0.33}}
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type: object
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example:
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my_bbox:
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default: "#FFFFFF"
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control_weights:
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title: control_weights
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description: "Dict of weights for each control tag in metric calculation. Each
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control tag (e.g. label or choice) will have its own key
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in control weight dict with weight for each label and
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overall weight. For example, if a bounding box annotation
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with a control tag named my_bbox should be included with
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0.33 weight in agreement calculation, and the first label
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Car should be twice as important as Airplane, then you
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need to specify: {'my_bbox': {'type': 'RectangleLabels',
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'labels': {'Car': 1.0, 'Airplane': 0.5}, 'overall': 0.33}"
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description: >
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Dict of weights for each control tag in metric calculation. Each
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control tag (e.g. label or choice) will have its own key in
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control weight dict with weight for each label and overall
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weight. For example, if a bounding box annotation with a
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control tag named my_bbox should be included with 0.33 weight
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in agreement calculation, and the first label Car should be
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twice as important as Airplane, then you need to specify:
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\{'my_bbox': \{'type': 'RectangleLabels', 'labels': \{'Car': 1.0,
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'Airplane': 0.5}, 'overall': 0.33}}
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type: object
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example:
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my_bbox:
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default: "#FFFFFF"
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control_weights:
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title: control_weights
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description: "Dict of weights for each control tag in metric calculation. Each
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description: >
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Dict of weights for each control tag in metric calculation. Each
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control tag (e.g. label or choice) will have its own key in
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control weight dict with weight for each label and overall
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weight. For example, if a bounding box annotation with a
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control tag named my_bbox should be included with 0.33 weight
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in agreement calculation, and the first label Car should be
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twice as important as Airplane, then you need to specify:
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{'my_bbox': {'type': 'RectangleLabels', 'labels': {'Car': 1.0,
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'Airplane': 0.5}, 'overall': 0.33}"
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\{'my_bbox': \{'type': 'RectangleLabels', 'labels': \{'Car': 1.0,
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'Airplane': 0.5}, 'overall': 0.33}}
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type: object
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example:
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my_bbox:
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nullable: true
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control_weights:
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title: Control weights
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description: "Dict of weights for each control tag in metric calculation. Each
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control tag (e.g. label or choice) will have it's own key in control
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weight dict with weight for each label and overall weight.For
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example, if bounding box annotation with control tag named my_bbox
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should be included with 0.33 weight in agreement calculation, and
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the first label Car should be twice more important than Airplaine,
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then you have to need the specify: {'my_bbox': {'type':
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'RectangleLabels', 'labels': {'Car': 1.0, 'Airplaine': 0.5},
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'overall': 0.33}"
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description: >
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Dict of weights for each control tag in metric calculation. Each
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control tag (e.g. label or choice) will have its own key in
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control weight dict with weight for each label and overall
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weight. For example, if a bounding box annotation with a
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control tag named my_bbox should be included with 0.33 weight
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in agreement calculation, and the first label Car should be
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twice as important as Airplane, then you need to specify:
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\{'my_bbox': \{'type': 'RectangleLabels', 'labels': \{'Car': 1.0,
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'Airplane': 0.5}, 'overall': 0.33}}
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type: object
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nullable: true
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parsed_label_config:

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