Module random

Expand description

Random number generation utilities

Structs§

bootstrap_indices: Bootstrap sampling: sample n_samples with replacement
get_rng: Get a random number generator with the specified seed
importance_sampling: Importance sampling: sample indices according to importance weights
k_fold_indices: Generate k-fold cross-validation indices
random_indices: Generate random indices for sampling
random_permutation: Generate a random permutation of indices
random_weights: Generate random weights that sum to 1
reservoir_sampling: Reservoir sampling: efficiently sample k items from a stream of unknown size
set_random_state: Set the global random seed for reproducible results
shuffle_indices: Shuffle an array of indices in place
stratified_split_indices: Generate stratified train/test split indices
train_test_split_indices: Split indices into train/test sets
weighted_sampling_without_replacement: Weighted sampling without replacement using systematic sampling