csaps
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espdev
Cubic spline approximation (smoothing)
To whom it may concern, Sorry I'm using a ticket to ask a question, but I couldn't see any other way to contact y'all. This package looks VERY interesting to...
csaps.CubicSmoothingSpline purports to perform extrapolation using the "natural" boundary condition. From https://github.com/espdev/csaps/blob/master/docs/formulation.rst: "csaps spline is cubic only and it has natural boundary condition type." This means the first derivative should...
Certain arrangements of smoothing intensity, weights and xdata, in particular irregularly spaced data where some xvalues are rather close together, causes CubicSmoothingSpline to produce a first derivative that is not...
csaps.CubicSmoothingSpline purports to support periodic functions, but does not implement this correctly. I believe this is because it is a *smoothing* spline, which means that there are far more knots...
Bumps [pillow](https://github.com/python-pillow/Pillow) from 10.1.0 to 10.2.0. Release notes Sourced from pillow's releases. 10.2.0 https://pillow.readthedocs.io/en/stable/releasenotes/10.2.0.html Changes Add keep_rgb option when saving JPEG to prevent conversion of RGB colorspace #7553 [@bgilbert] Trim...
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Hi, thanks for this package. I stumbled across some behavior I didn't expect. In the following code, I'm computing a smoothing factor automatically with `normalizedsmooth=True`. If I then use the...
This commit adds support for optionally calculating the Generalized Cross Validation criterion inline and making it available as a property of the SplinePPForm object. @espdev I tried to minimize the...
Hi, as far as I understand, CSAPS is able to work with univariate, multivariate (both depending x being 1dimensional) and ND-gridded data. In my use case, I have an irregular...
What the csaps function looks like without smooth parameter: ```from csaps import csaps spline = csaps(x_points, y_points) plt.plot(x, fit) plt.scatter(x_points, y_points) plt.show() ```  What the csaps function looks like...
I'm interested in optimizing the smoothing parameter using the [GCV (page 244 7.52)](https://hastie.su.domains/ElemStatLearn/printings/ESLII_print12_toc.pdf). Oftentimes, this requires the number of effective number of parameters and degrees of freedom for the generated...