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DspTrainedFeaturesResponseAllOf
class edgeimpulse_api.models.dsp_trained_features_response_all_of.DspTrainedFeaturesResponseAllOf(
**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
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.
-
skip_first_features: pydantic.types.StrictInt
The type of the None singleton.
-
total_sample_count: pydantic.types.StrictInt
The type of the None singleton.
Static methods
from_dict
edgeimpulse_api.models.dsp_trained_features_response_all_of.from_dict(
obj: dict
) ‑> edgeimpulse_api.models.dsp_trained_features_response_all_of.DspTrainedFeaturesResponseAllOf
Create an instance of DspTrainedFeaturesResponseAllOf from a dict
Parameters
Return
edgeimpulse_api.models.dsp_trained_features_response_all_of.DspTrainedFeaturesResponseAllOf
from_json
edgeimpulse_api.models.dsp_trained_features_response_all_of.from_json(
json_str: str
) ‑> edgeimpulse_api.models.dsp_trained_features_response_all_of.DspTrainedFeaturesResponseAllOf
Create an instance of DspTrainedFeaturesResponseAllOf from a JSON string
Parameters
Return
edgeimpulse_api.models.dsp_trained_features_response_all_of.DspTrainedFeaturesResponseAllOf
Methods
to_dict
edgeimpulse_api.models.dsp_trained_features_response_all_of.to_dict(
self
)
Returns the dictionary representation of the model using alias
Parameters
to_json
edgeimpulse_api.models.dsp_trained_features_response_all_of.to_json(
self,
indent=None
) ‑> str
Returns the JSON representation of the model using alias
Parameters
Return
str
to_str
edgeimpulse_api.models.dsp_trained_features_response_all_of.to_str(
self
) ‑> str
Returns the string representation of the model using alias
Parameters
Return
str