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 The type of the None singleton.

• accuracy: float | None The type of the None singleton.

• additional_metrics: List[edgeimpulse_api.models.additional_metric.AdditionalMetric] The type of the None singleton.

• confusion_matrix: List[List[float]] The type of the None singleton.

• is_supported_on_mcu: pydantic.types.StrictBool The type of the None singleton.

• loss: float The type of the None singleton.

• mcu_support_error: pydantic.types.StrictStr | None The type of the None singleton.

• on_device_performance: List[edgeimpulse_api.models.keras_model_metadata_metrics_on_device_performance_inner.KerasModelMetadataMetricsOnDevicePerformanceInner] The type of the None singleton.

• predictions: List[edgeimpulse_api.models.model_prediction.ModelPrediction] | None The type of the None singleton.

• profiling_job_failed: pydantic.types.StrictBool | None The type of the None singleton.

• profiling_job_id: pydantic.types.StrictInt | None The type of the None singleton.

• report: Dict[str, Any] The type of the None singleton.

• type: edgeimpulse_api.models.keras_model_type_enum.KerasModelTypeEnum The type of the None singleton.

• visualization: pydantic.types.StrictStr The type of the None singleton.

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

• self

to_json

edgeimpulse_api.models.keras_model_metadata_metrics.to_json(
		self,
		indent=None
) ‑> str

Returns the JSON representation of the model using alias

Parameters

• self

• indent=None

Return

str

to_str

edgeimpulse_api.models.keras_model_metadata_metrics.to_str(
		self
) ‑> str

Returns the string representation of the model using alias

Parameters

• self

Return

str