Classes
TunerTrial
| 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
| Parameters | |
|---|---|
obj | dict |
| Returns |
|---|
edgeimpulse_api.models.tuner_trial.TunerTrial |
from_json
| Parameters | |
|---|---|
json_str | str |
| Returns |
|---|
edgeimpulse_api.models.tuner_trial.TunerTrial |
status_validate_enum
| Parameters | |
|---|---|
v | |
METHODS
to_dict
| Parameters | |
|---|---|
self | |
to_json
| Parameters | |
|---|---|
self | |
indent=None | |
| Returns |
|---|
str |
to_str
| Parameters | |
|---|---|
self | |
| Returns |
|---|
str |