-
-
In additional to scipy.stats.gaussian_kde
something like https://www.statsmodels.org/stable/generated/statsmodels.nonparametric.kernel_density.KDEMultivariateConditional.html would be really useful.
…
-
Hi,
I've stumble on your interesting package as it stand at the 'intersect' two of my (current interests (Clojure and causality).
I believe adding links to your papers and other refs in the READ…
-
## 🚀 Feature
Our current implementation used a non-differentiable implementation of equalization. Mainly, it is caused by the non-differentiable ```torch.histc```. We may have different differentiabl…
-
-
Hiya! Mac M1/M2/... are not compatible with CUDA, and so KeOps does not work. I keep getting
```
[KeOps] Warning : Cuda libraries were not detected on the system or could not be loaded ; using cpu …
-
## Directions
> The final set of visualizations that you will create are shot maps for a given NHL team, for a given year and season.
- [x] colors make sense for negative value (Tim)
- [x] Export…
-
Dear Ben,
Using `violinplot`, I observe an unwanted extension of the drawing of the distribution curve beyond the minimum and the maximum value of the measurement values. It is not possible to 'chop'…
-
-
https://rdrr.io/rforge/distrMod/man/MDEstimator.html
https://stackoverflow.com/questions/67007706/how-to-calculate-efficient-minimum-distance-in-python-regression
**edit** https://rdrr.io/rforge/f…