edgeimpulse_api.models.tuner_trial

Classes

TunerTrial

edgeimpulse_api.models.tuner_trial.TunerTrial(
	**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.v1.main.BaseModel`
`pydantic.v1.utils.Representation`

Class variables
`Config`
`blocks`	`List[edgeimpulse_api.models.tuner_trial_blocks_inner.TunerTrialBlocksInner]`
`created_in_post_processing`	`pydantic.v1.types.StrictBool \| None`
`current_epoch`	`pydantic.v1.types.StrictInt \| None`
`device_performance`	`Dict[str, Any] \| None`
`dsp_job_id`	`edgeimpulse_api.models.tuner_trial_dsp_job_id.TunerTrialDspJobId \| None`
`experiment`	`pydantic.v1.types.StrictStr \| None`
`id`	`pydantic.v1.types.StrictStr`
`impulse`	`edgeimpulse_api.models.tuner_trial_impulse.TunerTrialImpulse`
`impulse_added_to_project`	`edgeimpulse_api.models.tuner_trial_impulse_added_to_project.TunerTrialImpulseAddedToProject \| None`
`last_completed_epoch`	`datetime.datetime \| None`
`last_completed_training`	`datetime.datetime \| None`
`learn_job_id`	`float \| None`
`metrics`	`edgeimpulse_api.models.tuner_trial_metrics.TunerTrialMetrics \| None`
`model`	`Dict[str, Any] \| None`
`name`	`pydantic.v1.types.StrictStr`
`optimization_round`	`float \| None`
`original_trial_id`	`pydantic.v1.types.StrictStr \| None`
`progress`	`edgeimpulse_api.models.tuner_trial_progress.TunerTrialProgress \| None`
`retries`	`pydantic.v1.types.StrictInt \| None`
`status`	`pydantic.v1.types.StrictStr`
`worker_id`	`pydantic.v1.types.StrictStr \| None`

STATIC METHODS

from_dict

edgeimpulse_api.models.tuner_trial.TunerTrial.from_dict(
	obj: dict
) ‑> edgeimpulse_api.models.tuner_trial.TunerTrial

Create an instance of TunerTrial from a dict

Parameters
`obj`	`dict`

Returns
`edgeimpulse_api.models.tuner_trial.TunerTrial`

from_json

edgeimpulse_api.models.tuner_trial.TunerTrial.from_json(
	json_str: str
) ‑> edgeimpulse_api.models.tuner_trial.TunerTrial

Create an instance of TunerTrial from a JSON string

Parameters
`json_str`	`str`

Returns
`edgeimpulse_api.models.tuner_trial.TunerTrial`

status_validate_enum

edgeimpulse_api.models.tuner_trial.TunerTrial.status_validate_enum(
	v
)

Parameters
`v`

METHODS

to_dict

edgeimpulse_api.models.tuner_trial.TunerTrial.to_dict(
	self
)

Returns the dictionary representation of the model using alias

Parameters
`self`

to_json

edgeimpulse_api.models.tuner_trial.TunerTrial.to_json(
	self,
	indent=None
) ‑> str

Returns the JSON representation of the model using alias

Parameters
`self`
`indent=None`

Returns
`str`

to_str

edgeimpulse_api.models.tuner_trial.TunerTrial.to_str(
	self
) ‑> str

Returns the string representation of the model using alias

Parameters
`self`

Returns
`str`

OVERVIEW

CLIs

LIBRARIES

SPECIFICATIONS

PROTOCOLS

Classes

TunerTrial

from_dict

from_json

status_validate_enum

to_dict

to_json

to_str

​Classes

​TunerTrial

​from_dict

​from_json

​status_validate_enum

​to_dict

​to_json

​to_str

Classes

TunerTrial

from_dict

from_json

status_validate_enum

to_dict

to_json

to_str