update_configuration
Modify specific fields of an existing experiment configuration while leaving omitted settings unchanged. Pass null to detach dataset or model references.
Instructions
Update fields on an existing configuration. Only the fields you pass are sent to the API and changed -- omitted fields keep their current value (the backend uses exclude_unset semantics). Do not pass a field just to keep it the same. Pass null for dataset_id, clean_dataset_id, or model_id to detach that reference.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| name | No | ||
| seed | No | ||
| device | No | ||
| cv_model | No | ||
| lr_gamma | No | ||
| model_id | No | ||
| momentum | No | ||
| n_groups | No | ||
| nesterov | No | ||
| config_id | Yes | ||
| optimizer | No | ||
| scoring_k | No | ||
| batch_size | No | ||
| dataset_id | No | ||
| lr_schedule | No | ||
| num_workers | No | ||
| target_class | No | ||
| total_epochs | No | ||
| weight_decay | No | ||
| learning_rate | No | ||
| phase_i_zscore | No | ||
| clean_dataset_id | No | ||
| threshold_method | No | ||
| training_setting | No | ||
| batch_level_epochs | No | ||
| model_architecture | No | ||
| poisoning_threshold | No | ||
| sample_level_epochs | No | ||
| confidence_threshold | No | ||
| batch_level_start_epoch | No | ||
| sample_level_start_epoch | No | ||
| phase_ii_feature_importance | No |