tuner_trial module
TunerTrial
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
blocks: List[edgeimpulse_api.models.tuner_trial_blocks_inner.TunerTrialBlocksInner]
current_epoch: Optional[pydantic.types.StrictInt]
device_performance: Optional[Dict[str, Any]]
dsp_job_id: Optional[edgeimpulse_api.models.tuner_trial_dsp_job_id.TunerTrialDspJobId]
experiment: Optional[pydantic.types.StrictStr]
id: pydantic.types.StrictStr
impulse: edgeimpulse_api.models.tuner_trial_impulse.TunerTrialImpulse
impulse_added_to_project: Optional[edgeimpulse_api.models.tuner_trial_impulse_added_to_project.TunerTrialImpulseAddedToProject]
last_completed_epoch: Optional[datetime.datetime]
last_completed_training: Optional[datetime.datetime]
learn_job_id: Optional[float]
metrics: Optional[edgeimpulse_api.models.tuner_trial_metrics.TunerTrialMetrics]
model: Optional[Dict[str, Any]]
name: pydantic.types.StrictStr
optimization_round: Optional[float]
original_trial_id: Optional[pydantic.types.StrictStr]
progress: Optional[edgeimpulse_api.models.tuner_trial_progress.TunerTrialProgress]
retries: Optional[pydantic.types.StrictInt]
status: pydantic.types.StrictStr
worker_id: Optional[pydantic.types.StrictStr]
Static methods
from_dict
Create an instance of TunerTrial from a dict
Parameters
obj: dict
Return
edgeimpulse_api.models.tuner_trial.TunerTrial
from_json
Create an instance of TunerTrial from a JSON string
Parameters
json_str: str
Return
edgeimpulse_api.models.tuner_trial.TunerTrial
status_validate_enum
Parameters
v
Methods
to_dict
Returns the dictionary representation of the model using alias
Parameters
self
to_json
Returns the JSON representation of the model using alias
Parameters
self
indent=None
Return
str
to_str
Returns the string representation of the model using alias
Parameters
self
Return
str
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