v0.0.24

What's new? 🎉🎉

• Include fermentation datasets 🔝

Improvements ✨✨

Bug fixes 🐛🐛

v0.0.23

What's new? 🎉🎉

• Add extended multiplicative scatter correction
• Add Robust Normal variate!

Improvements ✨✨

Bug fixes 🐛🐛

v0.0.22

What's new? 🎉🎉

• Add docstrings in all available methods

Improvements ✨✨

Bug fixes 🐛🐛

v0.0.21

What's new? 🎉🎉

Improvements ✨✨

• Increase performance of ArPls() by a factor of x40

Bug fixes 🐛🐛

v0.0.20

What's new? 🎉🎉

• New preprocessing added for baseline correction. It is called assymetrically reweighted penalized least squares (ArPls()). The current implementation in based on the following work:

Sung-June Baek a, Aaron Park *a, Young-Jin Ahn a and Jaebum Choo, Baseline correction using asymmetrically reweighted penalized least squares smoothing

Improvements ✨✨

Bug fixes 🐛🐛

v0.0.19

What's new? 🎉🎉

• Enable set_ouput() API for chemotools following the scikit-learn guide: https://scikit-learn.org/stable/auto_examples/miscellaneous/plot_set_output.html

When set_output(transform="pandas") the method will return a pandas.DataFrame instrad of a numpy.ndarray.

Improvements ✨✨

Bug fixes 🐛🐛

v0.0.18

Improve performance in whitakker filter and airpls by using sparse alegebra

v0.0.17

what is new?

RangeCutByIndex() and RangeCutByWavenumbers() are now merged into a single method RangeCut()

v0.0.16

✨✨ ConstantBaselineCorrection() is now added

v0.0.15

✨ RangeCutByWavenumber has been included to the family of preprocessing tools.