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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.

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Static methods

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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

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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

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visualization_validate_enum

edgeimpulse_api.models.keras_model_metadata_metrics.visualization_validate_enum(
		v
)
Parameters
  • v

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Methods

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to_dict

edgeimpulse_api.models.keras_model_metadata_metrics.to_dict(
		self
)
Returns the dictionary representation of the model using alias Parameters
  • self

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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

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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