get_auto_labeler_response module

GetAutoLabelerResponse

class edgeimpulse_api.models.get_auto_labeler_response.GetAutoLabelerResponse(
		**data: Any
)

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: Optional[pydantic.types.StrictStr]

  • has_results: pydantic.types.StrictBool

  • max_object_size_px: Optional[pydantic.types.StrictInt]

  • min_object_size_px: pydantic.types.StrictInt

  • sim_threshold: float

  • success: pydantic.types.StrictBool

  • which_items_to_include: pydantic.types.StrictStr

Static methods

from_dict

edgeimpulse_api.models.get_auto_labeler_response.from_dict(
		obj: dict
)> edgeimpulse_api.models.get_auto_labeler_response.GetAutoLabelerResponse

Create an instance of GetAutoLabelerResponse from a dict

Parameters

  • obj: dict

Return

edgeimpulse_api.models.get_auto_labeler_response.GetAutoLabelerResponse

from_json

edgeimpulse_api.models.get_auto_labeler_response.from_json(
		json_str: str
)> 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

Methods

to_dict

edgeimpulse_api.models.get_auto_labeler_response.to_dict(
		self
)

Returns the dictionary representation of the model using alias

Parameters

  • self

to_json

edgeimpulse_api.models.get_auto_labeler_response.to_json(
		self
)> str

Returns the JSON representation of the model using alias

Parameters

  • self

Return

str

to_str