Metadata-Version: 1.1
Name: libra-py-001-07
Version: 0.0.1
Summary: Split Linearized Bregman Iteration
Home-page: https://github.com/tansey/smoothfdr
Author: Xinwei Sun
Author-email: sxwxiaoxiaohehe@pku.edu.cn
License: MIT
Description: Citing libra_py_001_07
        =============
        
        The library libra_py is an academic project. The time and resources spent developing fastFM are therefore justified 
        by the number of citations of the software. If you publish scientific articles using libra_py, please cite the following article (bibtex entry 'citation.bib <http://papers.nips.cc/paper/6288-split-lbi-an-iterative-regularization-path-with-structural-sparsity/bibtex>' ).
        
            Huang, Chendi and Sun, Xinwei and Xiong, Jiechao and Yao, Yuan. "Split LBI: An Iterative Regularization Path with Structural Sparsity" Advances in Neural Information Processing Systems 29, pp. 3369--3377 (2016)
        
        
        libra_py_001_07: A Package for sparsity problem
        ============================================
        
        
        
        Usage
        -----
        .. code-block:: python
        
            from libra_py_001_07 import lbi
            obj = lbi.LB(X,y,family='gaussian')
            obj.predict(X)
        
        
        Tutorials and other information are available 'here <https://arxiv.org/abs/1604.05910>' and 
        'here <https://www.sciencedirect.com/science/article/pii/S1063520316000038>'.
        
        The R code is available as 'subrepository <https://cran.r-project.org/web/packages/Libra/index.html>'; the Matlab code is available as 'subrepository <https://github.com/yuany-pku/split-lbi>'.
        
        If you have still **questions** after reading the documentation please open a issue at GitHub.
        
        +----------------+------------------+-----------------------------+
        | Family         | Solver           | Loss                        |
        +================+==================+=============================+
        | Gaussian       | LBI_Linear       | Square Loss                 |
        +----------------+------------------+-----------------------------+
        | Binomial       | LBI_Logit        | Logit Model                 |
        +----------------+------------------+-----------------------------+
        
        *Supported solvers and tasks*
        
        Installation
        ------------
        
        **binary install**
        
        ``pip install libra_py_001_07``
        
        
        Tests
        -----
        import libra_py_001_05
        
        
Keywords: sparsity regularization path Lasso variable-selection
Platform: UNKNOWN
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: License :: Free For Educational Use
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.5
