get_data_explorer_features_response module

GetDataExplorerFeaturesResponse

class edgeimpulse_api.models.get_data_explorer_features_response.GetDataExplorerFeaturesResponse(
		**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

  • **data: Any

Bases

  • pydantic.main.BaseModel

  • pydantic.utils.Representation

Class variables

  • Config

  • data: List[edgeimpulse_api.models.dsp_trained_features_response_all_of_data.DspTrainedFeaturesResponseAllOfData]

  • error: Optional[pydantic.types.StrictStr]

  • has_features: pydantic.types.StrictBool

  • input_block: Optional[edgeimpulse_api.models.impulse_input_block.ImpulseInputBlock]

  • success: pydantic.types.StrictBool

Static methods

from_dict

edgeimpulse_api.models.get_data_explorer_features_response.from_dict(
		obj: dict
)> edgeimpulse_api.models.get_data_explorer_features_response.GetDataExplorerFeaturesResponse

Create an instance of GetDataExplorerFeaturesResponse from a dict

Parameters

  • obj: dict

Return

edgeimpulse_api.models.get_data_explorer_features_response.GetDataExplorerFeaturesResponse

from_json

edgeimpulse_api.models.get_data_explorer_features_response.from_json(
		json_str: str
)> edgeimpulse_api.models.get_data_explorer_features_response.GetDataExplorerFeaturesResponse

Create an instance of GetDataExplorerFeaturesResponse from a JSON string

Parameters

  • json_str: str

Return

edgeimpulse_api.models.get_data_explorer_features_response.GetDataExplorerFeaturesResponse

Methods

to_dict

edgeimpulse_api.models.get_data_explorer_features_response.to_dict(
		self
)

Returns the dictionary representation of the model using alias

Parameters

  • self

to_json

edgeimpulse_api.models.get_data_explorer_features_response.to_json(
		self
)> str

Returns the JSON representation of the model using alias

Parameters

  • self

Return

str

to_str

edgeimpulse_api.models.get_data_explorer_features_response.to_str(