-
I am not sure if there's a solution, much less one that could happen at the unconf. If it's just a lament, we can close this and move on. But the discussion on #69 has this on my mind and maybe some…
-
### Describe the workflow you want to enable
Currently, there is no included implementation of a PCA algorithm made for handling binary data in the scikit-learn library. However, the algorithm for …
-
### Describe the issue linked to the documentation
A very minor suggested change to write references section of function docstrings in identical style in [_pca.py](https://github.com/scikit-learn/s…
-
**Objective**
Develop an efficient method to compute the statistics s(c) for a given non-linear n-dimensional function f(x, y) with dependent variables x and y, such that F(f(s(x), s(y))) = s(c) whil…
-
Currently, using `numpy.linalg.eigh`.
source: https://github.com/numpy/numpy/blob/v1.17.0/numpy/linalg/linalg.py#L1324-L1459
This function calculated all the eigen pairs.
Calculating only few e…
-
Author: @vqd8a
-
Erika kindly extracted the data into a usable format. Might do some quick editing/culling first:
```
English,Français
collinearity,colinéarité
combinatorial method,méthode combinatoire
comparis…
-
**Submitting author:** @StevenGolovkine (Steven Golovkine)
**Repository:** https://github.com/StevenGolovkine/FDApy
**Branch with paper.md** (empty if default branch):
**Version:** v1.0.2
**Editor:**…
-
`B_full = M * B_reduced`
example: MNLogit reduced to stereotype Logit, `slogit` in Stata
but this also has the same structure as cointegrating regression (VAR).
see slogit references, and similar m…
-