Metadata-Version: 2.1
Name: dpmmpython
Version: 0.1.3.dev0
Summary: Python wrapper for DPMMSubClusters julia package
Home-page: https://github.com/BGU-CS-VIL/DPMMPython
Author: Or Dinari
Author-email: dinari@post.bgu.ac.il
License: MIT
Project-URL: Source, https://github.com/BGU-CS-VIL/DPMMPython
Project-URL: Tracker, https://github.com/BGU-CS-VIL/issues
Project-URL: Documentation, https://bgu-cs-vil.github.io/DPMMSubClusters.jl/latest/
Description: ## DPMMSubClusters
        
        This package is a wrapper for [DPMMSubClusters.jl](https://github.com/BGU-CS-VIL/DPMMSubClusters.jl) Julia package.<br>
        
        ### Installation
        
        ```
        pip install dpmmpython
        ```
        
        If you already have Julia installed, install [PyJulia](https://github.com/JuliaPy/pyjulia) and add the package `DPMMSubClusters` to your julia installation. <p>
        
        **The next part only works with Ubuntu distributions at the moment!** <br>
        If you do not have Julia installed, or wish to create a clean installation for the purpose of using this package. after installing (with pip), do the following:
        
        ```
        import dpmmpython
        dpmmpython.install()
        ```
        Optional arguments are `install(julia_download_path = 'https://julialang-s3.julialang.org/bin/linux/x64/1.4/julia-1.4.0-linux-x86_64.tar.gz', julia_target_path = None)`, where the former specify the julia download file, and the latter the installation path, if the installation path is not specified, `$HOME$/julia` will be used.
        
        ### Usage Example:
        
        ```
        from dpmmpython.dpmmwrapper import DPMMPython
        from dpmmpython.priors import niw
        import numpy as np
        
        data,gt = DPMMPython.generate_gaussian_data(10000, 2, 10, 100.0)
        prior = niw(1,np.zeros(2),4,np.eye(2))
        labels,_,sub_labels= DPMMPython.fit(data,100,prior = prior,verbose = True, gt = gt)
        ```
        ```
        Iteration: 1 || Clusters count: 1 || Log posterior: -71190.14226686998 || Vi score: 1.990707323192506 || NMI score: 6.69243345834295e-16 || Iter Time:0.004499912261962891 || Total time:0.004499912261962891
        Iteration: 2 || Clusters count: 1 || Log posterior: -71190.14226686998 || Vi score: 1.990707323192506 || NMI score: 6.69243345834295e-16 || Iter Time:0.0038819313049316406 || Total time:0.008381843566894531
        ...
        Iteration: 98 || Clusters count: 9 || Log posterior: -40607.39498126549 || Vi score: 0.11887067921133423 || NMI score: 0.9692247699387838 || Iter Time:0.015907764434814453 || Total time:0.5749104022979736
        Iteration: 99 || Clusters count: 9 || Log posterior: -40607.39498126549 || Vi score: 0.11887067921133423 || NMI score: 0.9692247699387838 || Iter Time:0.01072382926940918 || Total time:0.5856342315673828
        Iteration: 100 || Clusters count: 9 || Log posterior: -40607.39498126549 || Vi score: 0.11887067921133423 || NMI score: 0.9692247699387838 || Iter Time:0.010260820388793945 || Total time:0.5958950519561768
        ```
        
        
        
Keywords: julia python
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown
Provides-Extra: test
