Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input data cannot be parsed to form a valid model.
Parameters
**data: Any
Bases
pydantic.main.BaseModel
pydantic.utils.Representation
Class variables
Config
clusters: List[edgeimpulse_api.models.get_auto_labeler_response_all_of_clusters.GetAutoLabelerResponseAllOfClusters]
error: pydantic.types.StrictStr | None
has_results: pydantic.types.StrictBool
max_object_size_px: pydantic.types.StrictInt | None
min_object_size_px: pydantic.types.StrictInt
sim_threshold: float
success: pydantic.types.StrictBool
which_items_to_include: pydantic.types.StrictStr
Create an instance of GetAutoLabelerResponse from a dict
Parameters
obj: dict
Return
edgeimpulse_api.models.get_auto_labeler_response.GetAutoLabelerResponse
Create an instance of GetAutoLabelerResponse from a JSON string
Parameters
json_str: str
Return
edgeimpulse_api.models.get_auto_labeler_response.GetAutoLabelerResponse
Returns the dictionary representation of the model using alias
Parameters
self
Returns the JSON representation of the model using alias
Parameters
self
indent=None
Return
str
Returns the string representation of the model using alias
Parameters
self
Return
str