incerto.active.subsample_for_efficiency# incerto.active.subsample_for_efficiency(data, max_samples=10000, random_seed=None)[source]# Subsample data for computational efficiency. Parameters: data (Tensor) – Full dataset max_samples (int) – Maximum number of samples to keep random_seed (Optional[int]) – Random seed for reproducibility Return type: Tuple[Tensor, Tensor] Returns: Tuple of (subsampled_data, indices)
