Input for creating a new user-owned PrimingGroup seeded from an existing MLPipeline.
| Name | Type | Description | Notes |
|---|---|---|---|
| name | str | Name for the new priming group. | |
| source_ml_pipeline_id | str | ID of an MLPipeline owned by this account whose trained model will seed the priming group. | |
| detector_mode | bool, date, datetime, dict, float, int, list, str, none_type | Detector mode this priming group is intended for (BINARY, MULTI_CLASS, etc.). Must match the mode supported by the source MLPipeline's pipeline_config. * `BINARY` - BINARY * `COUNT` - COUNT * `MULTI_CLASS` - MULTI_CLASS * `TEXT` - TEXT * `BOUNDING_BOX` - BOUNDING_BOX | |
| canonical_query | str, none_type | Optional canonical semantic query describing this priming group. | [optional] |
| 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 |
| 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] |