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Classes

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MetricsForModelVariant

edgeimpulse_api.models.metrics_for_model_variant.MetricsForModelVariant(
	**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
variantedgeimpulse_api.models.keras_model_variant_enum.KerasModelVariantEnum
STATIC METHODS

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from_dict

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

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from_json

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

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to_dict

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

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to_json

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