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I think we need a small design document for the rework of the reducers. FYI @danbartl, given recent discussions.
Cases we should cover with modular design:
* lagging `X` and lagging `y`, lagging…
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There are API inconsistencies in the CLV module. Standardization is a big task best broken down into multiple PRs:
## PRs to be Completed In-Order
- [x] 1. Update `BetaGeoModel` predictive methods…
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Hi,
How can I normalize my smooth data?
Thank you for the help,
Priya
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As discussed offline, we should conduct a more thorough study on what performance impact we can expect (on holdout set) when using the `train set` error as a basis for choosing the best model as oppos…
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## 🚀 Feature
As the title says:
Enable BatchNorm to use running mean/variance during train
## Motivation
There are cases where the mean/variance of one piece of data going through a BatchNor…
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I'd need to calculate some size factors but I am unable to find the tracking issue any more:
**Are size factors trainable yet?**
Having this should give better results than DESeq2's geometric mean…
Hoeze updated
5 years ago
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First of all, thank you for this wonderful resource!
I am confused by the Stata event study code, and think it might not be totally correct. For reference, here it is
```
use "https://raw.githu…
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The way the FedECA API was created was to follow the fammous sklearn `fit` API **with the constraints given by Hydra ,the xp manager,** namely that **the same fedeca object needs to be sequentially fi…
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# Abstract
Generative Adversarial Networks(GAN)은 데이터 생성에서 뛰어난 모습을 보이고 있다. 많은 영역에서 쓰이고 있지만 여전히 안정적인 학습에는 어려움이 따른다. 문제점으로는 Nash-equilibrium, internal covariate shift, mode collapse, vanishing gradient,…
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Models can overfit when training samples are spatially adjacent.
A way to mitigate this is to select a pixel block size when extracting training folds such that pixels in the same local block are …