dsp_trained_features_response module
DspTrainedFeaturesResponse
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.data: List[edgeimpulse_api.models.dsp_trained_features_response_all_of_data.DspTrainedFeaturesResponseAllOfData]
The type of the None singleton.error: pydantic.types.StrictStr | None
The type of the None singleton.skip_first_features: pydantic.types.StrictInt
The type of the None singleton.success: pydantic.types.StrictBool
The type of the None singleton.total_sample_count: pydantic.types.StrictInt
The type of the None singleton.
Static methods
from_dict
Create an instance of DspTrainedFeaturesResponse from a dict
Parameters
obj: dict
Return
edgeimpulse_api.models.dsp_trained_features_response.DspTrainedFeaturesResponse
from_json
Create an instance of DspTrainedFeaturesResponse from a JSON string
Parameters
json_str: str
Return
edgeimpulse_api.models.dsp_trained_features_response.DspTrainedFeaturesResponse
Methods
to_dict
Returns the dictionary representation of the model using alias
Parameters
self
to_json
Returns the JSON representation of the model using alias
Parameters
self
indent=None
Return
str
to_str
Returns the string representation of the model using alias
Parameters
self
Return
str
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