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I've been discussing this offline with @epapoutsellis and @KrisThielemans. Flag also @paskino @dkazanc
https://github.com/vais-ral/CCPi-Regularisation-Toolkit/issues/70
## Motivation
Implement…
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Hi, first thanks for the awesome package!
1. Regularization:
After some experiments with the ALS recommender on my data it seems that I'm not using the `regularization` hyperparameter in the right…
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## Description
Investigate an issue with nearly zero impact of the pairwise term in GraphCut segmentation on small elements with high confidence belonging to one class. Even these peaces are composed…
Borda updated
4 years ago
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The total variation can be expressed as the composition of the `odl.L1Norm` with the `odl.Gradient` operator. Since its proximal cannot be calculated in closed form, primal-dual solvers are required, …
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I was wondering if it would be possible to change the multinom.reg function so that it would accept a matrix with outcome counts Y (with different outcome levels in different columns), similar to the …
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2tendre les capacités de l'outil à la gestion du déficit foncier et au report des années suivantes
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If you specify a gp_coordinate for certain species, explicitly ie. `add_species=F`, and provide no data for it, then the fitting program exits with a segementation fault much later than when the descr…
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Hi Patrik,
I see something that looks a bit strange to me:
https://github.com/patrikhuber/superviseddescent/blob/0179b4b69e3bc6e2bfdae51f3169414444290d63/include/superviseddescent/regressors.hpp#L…
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When looking at the neural translation log, it appears to me that, very often, for the live re-training, MMT is using large (or very large) sentence, where only a very small part is interesting, givin…
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This is an old problem, but re-writing this for references:
The problem is as usual: Y=(EX+N)F
```python
from sklearn.linear_model import LinearRegression, RidgeCV
from sklearn.preprocessing imp…