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Hi,
I would like to develop additional interfaces for your library.
I'm not experienced in R packages so can you give me some directions?
Where should I look first in order to develop interfaces.
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(edited to not require the new API)
Probably other algorithms too. I see that proximal_grad does handle it correctly.
This little script compares the fit for scikit-learn LogisticRegression and ou…
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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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If I slightly modify the inner `local_update` solves in the current ADMM implementation as follows:
```
def local_update(y, X, w, z, u, rho, fprime=proximal_logistic_gradient,
f=…
cicdw updated
7 years ago
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Please give the name of paper or url, Thanks!
BTW: windows （64bit）after run generate_synthetic_data.py, run TICC.py, find this in output:
```
RuntimeError:
Attempt to start a n…
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Polishing procedure fails when the eps_abs and eps_rel tolerances are below the reduced KKT regularization term; i.e. the polished solution is less accurate than the one obtained by the ADMM algorithm…
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It is mentioned in your Readme file that the the optimization method is ADMM algorithm (Alternating Direction Method of Multipliers) but I think it is ALM (both in your code and in the RPCA? paper).
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In lines 38,39,51,52 of updateCobraToolbox.m should be = instead of ==
This prevents updating CTB from matlab. Correcting the code makes it work but still can't update because it complains that there…
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I tried to parse the .exr file and to save the "res" mat directly, but could not understand the meaning of the output.
It seems that the range of the output data has something to do with -minVal and -…
scimg updated
8 years ago
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