dataeval.config.GlobalConfig¶

class dataeval.config.GlobalConfig¶

Global configuration for DataEval runtime settings.

This Pydantic model backs the global configuration state and provides validation on assignment. Users typically interact with the functional API (get_*, set_*, use_*) rather than this class directly.

device¶

Default PyTorch device for computations.

Type:¶

torch.device or None, default None

batch_size¶

Default batch size for data processing.

Type:¶

int or None, default None

max_processes¶

Maximum number of worker processes for parallel tasks.

Type:¶

int or None, default None

seed¶

Random seed for reproducibility.

Type:¶

int or None, default None

classmethod validate_batch_size(v)¶

Validate that batch_size is greater than zero.

classmethod validate_max_processes(v)¶

Validate that max_processes is not zero.