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Documentation Index

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Classes

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KerasModelMetadataMetrics

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
**dataAny
Bases
pydantic.v1.main.BaseModel
pydantic.v1.utils.Representation
Class variables
Config
accuracyfloat | None
additional_metricsList[edgeimpulse_api.models.additional_metric.AdditionalMetric]
confusion_matrixList[List[float]]
is_supported_on_mcupydantic.v1.types.StrictBool
lossfloat
mcu_support_errorpydantic.v1.types.StrictStr | None
on_device_performanceList[edgeimpulse_api.models.keras_model_metadata_metrics_on_device_performance_inner.KerasModelMetadataMetricsOnDevicePerformanceInner]
predictionsList[edgeimpulse_api.models.model_prediction.ModelPrediction] | None
profiling_job_failedpydantic.v1.types.StrictBool | None
profiling_job_idpydantic.v1.types.StrictInt | None
reportDict[str, Any]
typeedgeimpulse_api.models.keras_model_type_enum.KerasModelTypeEnum
visualizationpydantic.v1.types.StrictStr
STATIC METHODS

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from_dict

edgeimpulse_api.models.keras_model_metadata_metrics.KerasModelMetadataMetrics.from_dict(
	obj: dict
) ‑> edgeimpulse_api.models.keras_model_metadata_metrics.KerasModelMetadataMetrics
Create an instance of KerasModelMetadataMetrics from a dict
Parameters
objdict
Returns
edgeimpulse_api.models.keras_model_metadata_metrics.KerasModelMetadataMetrics

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from_json

edgeimpulse_api.models.keras_model_metadata_metrics.KerasModelMetadataMetrics.from_json(
	json_str: str
) ‑> edgeimpulse_api.models.keras_model_metadata_metrics.KerasModelMetadataMetrics
Create an instance of KerasModelMetadataMetrics from a JSON string
Parameters
json_strstr
Returns
edgeimpulse_api.models.keras_model_metadata_metrics.KerasModelMetadataMetrics

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visualization_validate_enum

edgeimpulse_api.models.keras_model_metadata_metrics.KerasModelMetadataMetrics.visualization_validate_enum(
	v
)
Parameters
v
METHODS

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to_dict

edgeimpulse_api.models.keras_model_metadata_metrics.KerasModelMetadataMetrics.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.KerasModelMetadataMetrics.to_json(
	self,
	indent=None
) ‑> str
Returns the JSON representation of the model using alias
Parameters
self
indent=None
Returns
str

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to_str

edgeimpulse_api.models.keras_model_metadata_metrics.KerasModelMetadataMetrics.to_str(
	self
) ‑> str
Returns the string representation of the model using alias
Parameters
self
Returns
str