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add nodes for Kriging, IDW, Kernel Density, or Spatial Temporal Kernel Density Estimation node
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In #10 I discussed making scatter plots and one of the downsides is the extreme overplotting if entire datasets are used. `ggpointdensity` provides an alternative that is between a scatter plot and a…
Aariq updated
6 months ago
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Python libraries for calculating your own kernel density estimate:
http://stackoverflow.com/questions/33274506/kernel-density-estimation-in-seaborn-for-cyclic-end-points
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it is not described what data and how generated
for blackbox lime:
https://eli5.readthedocs.io/en/latest/blackbox/lime.html
eli5 supports dataset generation using Kernel Density Estimation, to en…
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#### Is your feature request related to a problem? Please describe
Not related to a problem, but an excellent enhancement to the KDE capability offered by statsmodel. Precisely, introducing Improved…
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> [!NOTE]
> If you have a request to support a specific method, or would like to see priority of one of the listed methods, please open a separate issue, so it won't get buried in this thread. Base…
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## TAC:
On-manifold KDE approx products, e.g. `pqr = p * q * r`, where p,q,r are probability densities, and on say SE(3) manifold, or similar.
Note: probability density on manifold here is akin …
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A wishlist for probabilistic regression methods to implement or interface.
This is partly copied from the list I made when designing the R counterpart https://github.com/mlr-org/mlr3proba/issues/32 .…
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Add a scatter density method to the Pitch classes.
Inspiration:
- https://twitter.com/etmckinley/status/1169256582145703937
- https://github.com/LKremer/ggpointdensity
In principle, this could…
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## Issue will be closed if:
> 1) You mention more than one algorithm. You can create a separate issue for each algorithm once the current one is completed.
> 2) You propose an algorithm that is …