Parallel Smoothing

• Added parallel smoothing - multiple series of data of the same length can be smoothed in parallel with a single function call. #8
• Updated dependencies to latest versions

v0.1.3

Cross Validation

One of the key features of the Whittaker is its ability to be cross validated extremely quickly.

I've finally gotten around to implementing this as well as a linear search to find the optimal lambda.

v0.1.2-python

Python Package Documentation Update

• Documentation has been updated for easier use with IDEs.
• Default values are suggested in doc strings, though it's worth noting in practice they will vary based on the data.
• Small typos corrected

Resolves #1

v0.1.1-python

Python Package Release

New Python package release which uses bindings to Rust! The Python package has some overhead, but is still faster than using numpy and scipy!

From here on out, releases will become standardised and ideally under the same version number for both Python and Rust.

v0.1.1

Initial Release!

The initial release of the Whittaker-Eilers sparse matrix smoother and interpolator in Rust!

https://crates.io/crates/whittaker-eilers