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

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