cross_validation_data_scores_inner module

CrossValidationDataScoresInner

class edgeimpulse_api.models.cross_validation_data_scores_inner.CrossValidationDataScoresInner(
		**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

  • id: pydantic.types.StrictInt

  • label: pydantic.types.StrictInt

  • probability: float

  • sample: Optional[edgeimpulse_api.models.sample.Sample]

  • score: float

  • window_end: pydantic.types.StrictInt

  • window_start: pydantic.types.StrictInt

Static methods

from_dict

edgeimpulse_api.models.cross_validation_data_scores_inner.from_dict(
		obj: dict
)> edgeimpulse_api.models.cross_validation_data_scores_inner.CrossValidationDataScoresInner

Create an instance of CrossValidationDataScoresInner from a dict

Parameters

  • obj: dict

Return

edgeimpulse_api.models.cross_validation_data_scores_inner.CrossValidationDataScoresInner

from_json

edgeimpulse_api.models.cross_validation_data_scores_inner.from_json(
		json_str: str
)> edgeimpulse_api.models.cross_validation_data_scores_inner.CrossValidationDataScoresInner

Create an instance of CrossValidationDataScoresInner from a JSON string

Parameters

  • json_str: str

Return

edgeimpulse_api.models.cross_validation_data_scores_inner.CrossValidationDataScoresInner

Methods

to_dict

edgeimpulse_api.models.cross_validation_data_scores_inner.to_dict(
		self
)

Returns the dictionary representation of the model using alias

Parameters

  • self

to_json

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

Returns the JSON representation of the model using alias

Parameters

  • self

Return

str

to_str

edgeimpulse_api.models