keras_model_metadata_metrics module

KerasModelMetadataMetrics

class edgeimpulse_api.models.keras_model_metadata_metrics.KerasModelMetadataMetrics(
		**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: Optional[float]

  • additional_metrics: List[edgeimpulse_api.models.additional_metric.AdditionalMetric]

  • confusion_matrix: List[List[float]]

  • is_supported_on_mcu: pydantic.types.StrictBool

  • loss: float

  • mcu_support_error: Optional[pydantic.types.StrictStr]

  • on_device_performance: List[edgeimpulse_api.models.keras_model_metadata_metrics_on_device_performance_inner.KerasModelMetadataMetricsOnDevicePerformanceInner]

  • predictions: Optional[List[edgeimpulse_api.models.model_prediction.ModelPrediction]]

  • profiling_job_failed: Optional[pydantic.types.StrictBool]

  • profiling_job_id: Optional[pydantic.types.StrictInt]

  • report: Dict[str, Any]

  • type: edgeimpulse_api.models.keras_model_type_enum.KerasModelTypeEnum

  • visualization: pydantic.types.StrictStr

Static methods

from_dict

edgeimpulse_api.models.keras_model_metadata_metrics.from_dict(
		obj: dict
)> edgeimpulse_api.models.keras_model_metadata_metrics.KerasModelMetadataMetrics

Create an instance of KerasModelMetadataMetrics from a dict

Parameters

  • obj: dict

Return

edgeimpulse_api.models.keras_model_metadata_metrics.KerasModelMetadataMetrics

from_json

edgeimpulse_api.models.keras_model_metadata_metrics.from_json(
		json_str: str
)> edgeimpulse_api.models.keras_model_metadata_metrics.KerasModelMetadataMetrics

Create an instance of KerasModelMetadataMetrics from a JSON string

Parameters

  • json_str: str

Return

edgeimpulse_api.models.keras_model_metadata_metrics.KerasModelMetadataMetrics

visualization_validate_enum

edgeimpulse_api.models.keras_model_metadata_metrics.visualization_validate_enum(
		v
)

Parameters

  • v

Methods

to_dict

edgeimpulse_api.models.keras_model_metadata_metrics.to_dict(
		self
)

Returns the dictionary representation of the model using alias

Parameters