edgeimpulse_api.models.classify_job_response_all_of_additional_metrics_by_learn_block.ClassifyJobResponseAllOfAdditionalMetricsByLearnBlock(
**data: Any
)
Parameters | |
---|---|
**data | Any |
Bases |
---|
pydantic.v1.main.BaseModel |
pydantic.v1.utils.Representation |
Class variables | |
---|---|
Config | |
additional_metrics | List[edgeimpulse_api.models.additional_metric.AdditionalMetric] |
learn_block_id | pydantic.v1.types.StrictInt |
learn_block_name | pydantic.v1.types.StrictStr |
edgeimpulse_api.models.classify_job_response_all_of_additional_metrics_by_learn_block.ClassifyJobResponseAllOfAdditionalMetricsByLearnBlock.from_dict(
obj: dict
) ‑> edgeimpulse_api.models.classify_job_response_all_of_additional_metrics_by_learn_block.ClassifyJobResponseAllOfAdditionalMetricsByLearnBlock
Parameters | |
---|---|
obj | dict |
Returns |
---|
edgeimpulse_api.models.classify_job_response_all_of_additional_metrics_by_learn_block.ClassifyJobResponseAllOfAdditionalMetricsByLearnBlock |
edgeimpulse_api.models.classify_job_response_all_of_additional_metrics_by_learn_block.ClassifyJobResponseAllOfAdditionalMetricsByLearnBlock.from_json(
json_str: str
) ‑> edgeimpulse_api.models.classify_job_response_all_of_additional_metrics_by_learn_block.ClassifyJobResponseAllOfAdditionalMetricsByLearnBlock
Parameters | |
---|---|
json_str | str |
Returns |
---|
edgeimpulse_api.models.classify_job_response_all_of_additional_metrics_by_learn_block.ClassifyJobResponseAllOfAdditionalMetricsByLearnBlock |
edgeimpulse_api.models.classify_job_response_all_of_additional_metrics_by_learn_block.ClassifyJobResponseAllOfAdditionalMetricsByLearnBlock.to_dict(
self
)
Parameters | |
---|---|
self | |
edgeimpulse_api.models.classify_job_response_all_of_additional_metrics_by_learn_block.ClassifyJobResponseAllOfAdditionalMetricsByLearnBlock.to_json(
self,
indent=None
) ‑> str
Parameters | |
---|---|
self | |
indent=None | |
Returns |
---|
str |
edgeimpulse_api.models.classify_job_response_all_of_additional_metrics_by_learn_block.ClassifyJobResponseAllOfAdditionalMetricsByLearnBlock.to_str(
self
) ‑> str
Parameters | |
---|---|
self | |
Returns |
---|
str |