Version 1.1.0 (2024-02-18)

This is a minor version with new features, deprecations,
and documentation improvements.

New Features

Added two dimensional versions of various baseline correction algorithms,
with the focus on Whittaker-smoothing-based, spline, and polynomial methods.
These can be accessed using the new Baseline2D class.
Added the Baseline2D.individual_axes method, which allows fitting each row and/or
column in two dimensional data with any one dimensional method in pybaselines.
Added a version of the rubberband method to pybaselines.misc which allows fitting
individual segments within data to better fit concave-shaped data.
Added the Customized Baseline Correction (custom_bc) method to
pybaselines.optimizers, which allows fitting baselines with controllable
levels of stiffness in different regions.
Added a penalized version of mpls (pspline_mpls) to pybaselines.spline.
Updated spline.mixture_model to use expectation-maximization rather than the previous
nieve approach of fitting the histogram of the residuals with the probability density
function. Should reduce calculation times.
Added a function for penalized spline (P-spline) smoothing to pybaselines.utils,
pybaselines.utils.pspline_smooth, which will return a tuple of the smoothed input and
the knots, spline coefficients, and spline degree for any further use with
SciPy's BSpline.

Officially list Python 3.12 as supported.
Updated lowest supported Python version to 3.8
Updated lowest supported dependency versions: NumPy 1.20, SciPy 1.5,
pentapy 1.1, and Numba 0.49
Use SciPy's sparse arrays when the installed SciPy version is 1.12 or newer. This
only affects user codes if using functions from the pybaselines.utils module.
Vendor SciPy's cwt and ricker functions, which were deprecated from SciPy in version 1.12.

Deprecated passing num_bins to spline.mixture_model. The keyword argument will
be removed in version 1.3.
Removed the pybaselines.config module, which was simply used to set the pentapy solver.
The same behavior can be done by setting the pentapy_solver attribute of a Baseline
object after initialization.

Added a section of the documentation explaining the extension of baseline correction for
two dimensional data.
Added new examples for 2D baseline correction and for custom_bc.