ramanspy.preprocessing.baseline.AIRPLS

class ramanspy.preprocessing.baseline.AIRPLS(*, lam=1000000.0, diff_order=2, max_iter=50, tol=0.001, weights=None)[source]

Baseline correction based on Adaptive Iteratively Reweighted Penalized Least Squares (airPLS).

Parameters:: **kwargs – Check original implementation for information about parameters.

Note

Implementation based on pybaselines.

References

Zhang, Z.M., et al. Baseline correction using adaptive iteratively reweighted penalized least squares. Analyst, 2010, 135(5), 1138-1146.

__init__(*, lam=1000000.0, diff_order=2, max_iter=50, tol=0.001, weights=None)[source]

Methods

`__init__`(*[, lam, diff_order, max_iter, ...])
`apply`(raman_objects)	Applies the defined preprocessing method on the Raman spectroscopic objects provided.