model_prediction module

ModelPrediction

class edgeimpulse_api.models.model_prediction.ModelPrediction(
		**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

  • anomaly_scores: Optional[List[List[float]]]

  • end_ms: float

  • f1_score: Optional[float]

  • label: Optional[pydantic.types.StrictStr]

  • prediction: pydantic.types.StrictStr

  • prediction_correct: Optional[pydantic.types.StrictBool]

  • sample_id: pydantic.types.StrictInt

  • start_ms: float

Static methods

from_dict

edgeimpulse_api.models.model_prediction.from_dict(
		obj: dict
)> edgeimpulse_api.models.model_prediction.ModelPrediction

Create an instance of ModelPrediction from a dict

Parameters

  • obj: dict

Return

edgeimpulse_api.models.model_prediction.ModelPrediction

from_json

edgeimpulse_api.models.model_prediction.from_json(
		json_str: str
)> edgeimpulse_api.models.model_prediction.ModelPrediction

Create an instance of ModelPrediction from a JSON string

Parameters

  • json_str: str

Return

edgeimpulse_api.models.model_prediction.ModelPrediction

Methods

to_dict

edgeimpulse_api.models.model_prediction.to_dict(
		self
)

Returns the dictionary representation of the model using alias

Parameters

  • self

to_json

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

Returns the JSON representation of the model using alias

Parameters

  • self

Return

str

to_str

edgeimpulse_api.models.model_prediction.to_str(