dataeval.shift.DriftReconstruction.Config¶

class dataeval.shift.DriftReconstruction.Config¶

Configuration for DriftReconstruction detector.

p_val¶

Significance threshold for non-chunked mode.

Type:¶

float, default 0.05

loss_fn¶

Loss function for training.

Type:¶

Callable or None, default None

optimizer¶

Optimizer for training.

Type:¶

torch.optim.Optimizer or None, default None

epochs¶

Number of training epochs.

Type:¶

int, default 20

batch_size¶

Batch size for training and scoring.

Type:¶

int, default 64

gmm_weight¶

Weight for GMM component.

Type:¶

float, default 0.5

gmm_score_mode¶

Method for combining reconstruction and GMM scores.

Type:¶

{“standardized”, “percentile”}, default “standardized”