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Any plans on including this? I might get motivated enough to submit a PR. If so, you you prefer any particular package (`NMF` or `NNLM `)?
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Hi,
I'm currently working on a project using NMF, and have implementing the Fast HALS solver mentioned in the papers [1] [Fast local algorithms for large scale nonnegative matrix and tensor factori…
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The CoKL algorithm as implemented here is restricted to two incomplete views. I would like to generalize the implementation for more than two views. The paper suggests as to how this should be done. W…
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NMF in scikit-learn overview :
**Current implementation ([code](https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/decomposition/nmf.py)):**
- loss = squared (aka Frobenius norm)
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Hi, thanks for this package.
I read gillis2014 paper entitled "Fast and Robust Recursive Algorithms for Separable Nonnegative Matrix Factorization" on IEEE PAMI. This article provides a `spa` alike a…
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I'm maintaining a package that depends on DataFrames, and I'm a bit at a loss as to how to maintain the package at this point with the addition of the Nullable type.
My code uses plenty of arithme…
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When running `hierclust` on a large set of data (235k words, 10 million docs) with any amount of clusters (tried as few as 5, as many as 20), I get the error
```
NMF solver failure on iteration …
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Currently, the development of machine learning tools are in several different packages without little coordination. Consequently, some efforts are repetitive, while some important aspects remain lacki…
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in `nonnegative_matrix_factorization.nmf_labels` the function seems to be fitting the model twice, once with `.fit` and once with `.fit_transform`.
I assume this is by accident?
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I've written a pure-julia implementation of a modified cholesky factorization (GMW81), which can be used in Newton-like methods to guarantee descent. (It's worth noting that [this line](https://github…