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: StrictInt | None = None, totalCorrectWindowCount: EvaluateResultValue | None = None, accuracy: EvaluateResultValue, )[source]#

Bases: BaseModel

class Config[source]#

Bases: object

allow_population_by_field_name = True#

validate_assignment = False#

accuracy: EvaluateResultValue#

classification_labels: List[StrictStr]#

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

classmethod from_dict( obj: dict, ) → ModelVariantStats[source]#: Create an instance of ModelVariantStats from a dict

classmethod from_json( json_str: str, ) → ModelVariantStats[source]#: Create an instance of ModelVariantStats from a JSON string

learn_block_id: StrictInt#

learn_block_type: LearnBlockType#

model_type: KerasModelTypeEnum#

to_dict()[source]#: Returns the dictionary representation of the model using alias

to_json() → str[source]#: Returns the JSON representation of the model using alias

to_str() → str[source]#: Returns the string representation of the model using alias

total_correct_window_count: EvaluateResultValue | None#

total_window_count: StrictInt | None#

training_labels: List[StrictStr]#