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KerasModelMetadataMetricsOnDevicePerformanceInner

class edgeimpulse_api.models.keras_model_metadata_metrics_on_device_performance_inner.KerasModelMetadataMetricsOnDevicePerformanceInner(
		**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.
  • custom_metrics: List[edgeimpulse_api.models.keras_custom_metric.KerasCustomMetric] | None The type of the None singleton.
  • eon: edgeimpulse_api.models.keras_model_metadata_metrics_on_device_performance_inner_tflite.KerasModelMetadataMetricsOnDevicePerformanceInnerTflite The type of the None singleton.
  • eon_ram_optimized: edgeimpulse_api.models.keras_model_metadata_metrics_on_device_performance_inner_tflite.KerasModelMetadataMetricsOnDevicePerformanceInnerTflite | None The type of the None singleton.
  • has_performance: pydantic.types.StrictBool The type of the None singleton.
  • is_default: pydantic.types.StrictBool The type of the None singleton.
  • latency: float The type of the None singleton.
  • mcu: pydantic.types.StrictStr The type of the None singleton.
  • name: pydantic.types.StrictStr The type of the None singleton.
  • profiling_error: pydantic.types.StrictStr | None The type of the None singleton.
  • tflite: edgeimpulse_api.models.keras_model_metadata_metrics_on_device_performance_inner_tflite.KerasModelMetadataMetricsOnDevicePerformanceInnerTflite 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_on_device_performance_inner.from_dict(
		obj: dict
) ‑> edgeimpulse_api.models.keras_model_metadata_metrics_on_device_performance_inner.KerasModelMetadataMetricsOnDevicePerformanceInner
Create an instance of KerasModelMetadataMetricsOnDevicePerformanceInner from a dict Parameters
  • obj: dict
Return edgeimpulse_api.models.keras_model_metadata_metrics_on_device_performance_inner.KerasModelMetadataMetricsOnDevicePerformanceInner

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from_json

edgeimpulse_api.models.keras_model_metadata_metrics_on_device_performance_inner.from_json(
		json_str: str
) ‑> edgeimpulse_api.models.keras_model_metadata_metrics_on_device_performance_inner.KerasModelMetadataMetricsOnDevicePerformanceInner
Create an instance of KerasModelMetadataMetricsOnDevicePerformanceInner from a JSON string Parameters
  • json_str: str
Return edgeimpulse_api.models.keras_model_metadata_metrics_on_device_performance_inner.KerasModelMetadataMetricsOnDevicePerformanceInner

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Methods

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to_dict

edgeimpulse_api.models.keras_model_metadata_metrics_on_device_performance_inner.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_on_device_performance_inner.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_on_device_performance_inner.to_str(
		self
) ‑> str
Returns the string representation of the model using alias Parameters
  • self
Return str
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