reservoir-sampling

Crate implementing reservoir sampling, a method for getting random samples from a source in a single pass. Useful in situations where size of source is unknown or very large. Read this article for more information: https://en.wikipedia.org/wiki/Reservoir_sampling All algorithms implemented here have been taken from this article only.

Note:

• Algorithm R is currently yielding broken values, refrain from using.

Features:

• Support for streaming-iterator::StreamingIterator type.

API Design

Functions take: - An Iterator of generic type T, with no constraints which serves as a stream of data to sample. - Mutable array slice (&mut [T]) to store sampled data

By default, functions use rand::thread_rng to provide RNG. To use your own RNG which implements rand::RNG, use functions in reservoir_sampling::core.

Contributing:

Feel free to implement more sampling algorithms! (Also reduce code duplication, that's a big issue right now) Remember to add algorithm to: - reservoir_sampling::core:: - reservoir_sampling:: - reservoir_sampling::streaming_iterator_sampling::core:: - reservoir_sampling::streaming_iterator_sampling::

Future development:

Plan to implement weighted reservoir sampling as well. Feel free to make a pull request or an issue!