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Should a dedicated API/column metadata to efficiently support sparse columns be part of the spec?
## Context
It can be the case than a given column has more more than 99% of its values that are …
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It seems that NormStar does not compute the full normalizer. In this example it does not always contain the isometry group. Here is a demonstrating example.
```
t := Tensor(GF(3), \[ 8, 8, 4 ], […
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like what am i on about here
this should be moved to github issues or deleted, not in readme
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I take the Cora dataset as an example.
The synthetic features generate in the function "get_sub_adj_feat". The order of the class enumeration is [0, 1, 2, 3, 4, 5, 6].
However, The synthetic labels …
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We're now using the shrinkage technique from [this paper](https://arxiv.org/abs/0907.4698) in the concept-erasure repo; it makes covariance estimation robust to small sample sizes. Might make CRC-TPC,…
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More libraries to test against: pymatgen, centrosome
See https://github.com/gatagat/lap/issues/9
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still a vague issue, I ran into literature on testing for heterogeneity including information matrix tests.
This is mostly in context of GLM and discrete MLE models (similar to excess dispersion and …
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Currently we have:
```
sage: m=Matrix(3,[0, 1, 1, 0, 0, 0, 0, 1, 0])
sage: g=DiGraph(m)
sage: g.is_directed_acyclic(certificate=True)
(True, [0, 1, 2, 1])
```
Component: **combinatorics**
Keyword…
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I need some help figuring out if there is a problem with constrained WLS in the DKI module. See `dipy/reconst/dki.py`
https://github.com/dipy/dipy/blob/e5cc120bf6c5c271f32cced62150157abd15a321/dipy…
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We need to find some good options for the classifier to reach a baseline acceptable accuracy:
- [x] Try vgg16, pretrained on imagenet
- [x] Try vgg16, training from scratch
- [ ] Try vgg16, pretrai…