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Documentation Index

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Classes

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PretrainedModelTensor

edgeimpulse_api.models.pretrained_model_tensor.PretrainedModelTensor(
	**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
data_typepydantic.v1.types.StrictStr
namepydantic.v1.types.StrictStr
quantization_scalefloat | None
quantization_zero_pointfloat | None
shapeList[pydantic.v1.types.StrictInt]
STATIC METHODS

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data_type_validate_enum

edgeimpulse_api.models.pretrained_model_tensor.PretrainedModelTensor.data_type_validate_enum(
	v
)
Parameters
v

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from_dict

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

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from_json

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

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to_dict

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

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to_json

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