model_variant_stats module

ModelVariantStats

class edgeimpulse_api.models.model_variant_stats.ModelVariantStats(
		**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

  • accuracy: edgeimpulse_api.models.evaluate_result_value.EvaluateResultValue

  • classification_labels: List[pydantic.types.StrictStr]

  • confusion_matrix: Dict[str, Dict[str, Dict[str, Any]]]

  • learn_block_id: pydantic.types.StrictInt

  • learn_block_type: edgeimpulse_api.models.learn_block_type.LearnBlockType

  • model_type: edgeimpulse_api.models.keras_model_type_enum.KerasModelTypeEnum

  • total_correct_window_count: Optional[edgeimpulse_api.models.evaluate_result_value.EvaluateResultValue]

  • total_window_count: Optional[pydantic.types.StrictInt]

  • training_labels: List[pydantic.types.StrictStr]

Static methods

from_dict

edgeimpulse_api.models.model_variant_stats.from_dict(
		obj: dict
)> edgeimpulse_api.models.model_variant_stats.ModelVariantStats

Create an instance of ModelVariantStats from a dict

Parameters

  • obj: dict

Return

edgeimpulse_api.models.model_variant_stats.ModelVariantStats

from_json

edgeimpulse_api.models.model_variant_stats.from_json(
		json_str: str
)> edgeimpulse_api.models.model_variant_stats.ModelVariantStats

Create an instance of ModelVariantStats from a JSON string

Parameters

  • json_str: str

Return

edgeimpulse_api.models.model_variant_stats.ModelVariantStats

Methods

to_dict

edgeimpulse_api.models.model_variant_stats.to_dict(
		self
)

Returns the dictionary representation of the model using alias

Parameters

  • self

to_json

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

Returns the JSON representation of the model using alias

Parameters

  • self

Return

str

to_str