tuner_trial_metrics module

TunerTrialMetrics

class edgeimpulse_api.models.tuner_trial_metrics.TunerTrialMetrics(
		**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

• test: Optional[edgeimpulse_api.models.tuner_trial_metrics_test.TunerTrialMetricsTest]

• train: Optional[edgeimpulse_api.models.tuner_trial_metrics_test.TunerTrialMetricsTest]

• validation: Optional[edgeimpulse_api.models.tuner_trial_metrics_test.TunerTrialMetricsTest]

Static methods

from_dict

edgeimpulse_api.models.tuner_trial_metrics.from_dict(
		obj: dict
) ‑> edgeimpulse_api.models.tuner_trial_metrics.TunerTrialMetrics

Create an instance of TunerTrialMetrics from a dict

Parameters

• obj: dict

Return

edgeimpulse_api.models.tuner_trial_metrics.TunerTrialMetrics

from_json

edgeimpulse_api.models.tuner_trial_metrics.from_json(
		json_str: str
) ‑> edgeimpulse_api.models.tuner_trial_metrics.TunerTrialMetrics

Create an instance of TunerTrialMetrics from a JSON string

Parameters

• json_str: str

Return

edgeimpulse_api.models.tuner_trial_metrics.TunerTrialMetrics

Methods

to_dict

edgeimpulse_api.models.tuner_trial_metrics.to_dict(
		self
)

Returns the dictionary representation of the model using alias

Parameters

• self

to_json

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

Returns the JSON representation of the model using alias

Parameters

• self

• indent=None

Return

str

to_str

edgeimpulse_api.models.tuner_trial_metrics.to_str(
		self
) ‑> str

Returns the string representation of the model using alias

Parameters

• self

Return

str