model_variant_stats

edgeimpulse_api v1.0.0

edgeimpulse_api.models.model_variant_stats module

class edgeimpulse_api.models.model_variant_stats.ModelVariantStats(*, modelType: KerasModelTypeEnum, learnBlockId: StrictInt, learnBlockType: LearnBlockType, confusionMatrix: Dict[str, Dict[str, Dict[str, Any]]], trainingLabels: List[StrictStr], classificationLabels: List[StrictStr], totalWindowCount: Optional[StrictInt] = None, totalCorrectWindowCount: Optional[EvaluateResultValue] = None, accuracy: EvaluateResultValue)

Bases: BaseModel

class Config()

Bases: object

allow_population_by_field_name(_ = Tru_ )

validate_assignment(_ = Tru_ )

accuracy(_: EvaluateResultValue

classification_labels(: List[StrictStr )

confusion_matrix(: Dict[str, Dict[str, Dict[str, Any]] )

classmethod from_dict(obj: dict)

Create an instance of ModelVariantStats from a dict

classmethod from_json(json_str: str)

Create an instance of ModelVariantStats from a JSON string

learn_block_id(: StrictIn )

learn_block_type(_: LearnBlockType

model_type(_: KerasModelTypeEnum

to_dict()

Returns the dictionary representation of the model using alias

to_json()

Returns the JSON representation of the model using alias

to_str()

Returns the string representation of the model using alias

total_correct_window_count(: Optional[EvaluateResultValue )

total_window_count(: Optional[StrictInt )

training_labels(: List[StrictStr )