tuner_create_trial_impulse module

TunerCreateTrialImpulse

class edgeimpulse_api.models.tuner_create_trial_impulse.TunerCreateTrialImpulse(
		**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

  • dsp_blocks: Optional[List[Dict[str, Any]]]

  • experiment: Optional[pydantic.types.StrictStr]

  • id: Optional[pydantic.types.StrictStr]

  • input_blocks: Optional[List[Dict[str, Any]]]

  • learn_blocks: Optional[List[Dict[str, Any]]]

  • original_trial_id: Optional[pydantic.types.StrictStr]

Static methods

from_dict

edgeimpulse_api.models.tuner_create_trial_impulse.from_dict(
		obj: dict
)> edgeimpulse_api.models.tuner_create_trial_impulse.TunerCreateTrialImpulse

Create an instance of TunerCreateTrialImpulse from a dict

Parameters

  • obj: dict

Return

edgeimpulse_api.models.tuner_create_trial_impulse.TunerCreateTrialImpulse

from_json

edgeimpulse_api.models.tuner_create_trial_impulse.from_json(
		json_str: str
)> edgeimpulse_api.models.tuner_create_trial_impulse.TunerCreateTrialImpulse

Create an instance of TunerCreateTrialImpulse from a JSON string

Parameters

  • json_str: str

Return

edgeimpulse_api.models.tuner_create_trial_impulse.TunerCreateTrialImpulse

Methods

to_dict

edgeimpulse_api.models.tuner_create_trial_impulse.to_dict(
		self
)

Returns the dictionary representation of the model using alias

Parameters

  • self

to_json

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

Returns the JSON representation of the model using alias

Parameters

  • self

Return

str

to_str

edgeimpulse_api.models.