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Classes

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ModelVariantStats

edgeimpulse_api.models.model_variant_stats.ModelVariantStats(
	**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
accuracyedgeimpulse_api.models.evaluate_result_value.EvaluateResultValue
classification_labelsList[pydantic.v1.types.StrictStr]
confusion_matrixDict[str, Dict[str, Dict[str, Any]]]
learn_block_idpydantic.v1.types.StrictInt
learn_block_typeedgeimpulse_api.models.learn_block_type.LearnBlockType
model_typeedgeimpulse_api.models.keras_model_type_enum.KerasModelTypeEnum
total_correct_window_countedgeimpulse_api.models.evaluate_result_value.EvaluateResultValue | None
total_window_countpydantic.v1.types.StrictInt | None
training_labelsList[pydantic.v1.types.StrictStr]
STATIC METHODS

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from_dict

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

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from_json

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

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to_dict

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

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to_json

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