amkatrutsa / liboptpy Goto Github PK
View Code? Open in Web Editor NEWImplementation of various optimization methods
License: MIT License
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daominglyu droiter chor-nyan bulatuseinov nastya236 fagan2888 tripleess donyasaless kisdma eeyuhao dungvuhus samunaai yixianwang yacine074 abhishekh2001 dapaoa gakkilovemath dvolchekliboptpy's Issues
do you have somewhere Sparse fused lasso code for logistric regression
thanks for great code
do you have somewhere Sparse fused lasso code for logistric regression like
Add submodule for proximal methods
Add implementations of main algorithms from the book and mini-tutorial in examples for usage of such algorithms, its interpretations, pros and cons.
Add submodular optimization algorithms
doubt
Hi, Thanks for making the repository publicly available. Please help me resolve the following doubt-
I think the first argument to be passed in the get_stepsize function(ref: line 30 in _proj_gd.py) should be -(self._grad_mem[-1]).
def get_stepsize(self): return self._step_size.get_stepsize(self._grad_mem[-1], self.convergence[-1], len(self.convergence))
I think so because the first argument of the get_stepsize function seems to correspond to the direction of descent. Please let me know if my understanding is correct.
demo_unconstr_solvers.ipynb is not in JSON format
Trying to open example notebook I get the following error:
"Unreadable Notebook: /home/common/ivanov.vv/MIPT/Stats2018/HW4/demo_unconstr_solvers.ipynb NotJSONError("Notebook does not appear to be JSON: '\n\n\n\n\n\n\n<html lang...",)"
It also doesn't display at all when opened on GitHub (Chrome,
Version 70.0.3538.77 (Official Build) (64-bit)).
Add geometric descent
Take GeomD from this paper and its composite option from this paper
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