Metadata-Version: 2.1
Name: zedstat
Version: 0.0.99
Summary: Statistics tools for ML models and deployment
Home-page: https://github.com/zeroknowledgediscovery/zedstat
Author: zed.uchicago.edu
Author-email: ishanu@uchicago.edu
License: LICENSE
Download-URL: https://github.com/zeroknowledgediscovery/zedstat/archive/0.0.99.tar.gz
Description: ===============
        zedstat
        ===============
        
        .. image:: https://zed.uchicago.edu/logo/logo_zedstat.png
           :height: 150px
           :align: center 
        
        .. image:: https://zenodo.org/badge/529991779.svg
           :target: https://zenodo.org/badge/latestdoi/529991779
        
        .. class:: no-web no-pdf
        
        :Author: ZeD@UChicago <zed.uchicago.edu>
        :Description: Tools for ML statistics 
        :Documentation: https://zeroknowledgediscovery.github.io/zedstat/
        :Example: https://github.com/zeroknowledgediscovery/zedstat/blob/master/examples/example1.ipynb
        		
        **Usage:**
        
        .. code-block::
        
           from zedstat import zedstat
           zt=zedstat.processRoc(df=pd.read_csv('roc.csv'),
                   order=3, 
                   total_samples=100000,
                   positive_samples=100,
                   alpha=0.01,
                   prevalence=.002)
        
           zt.smooth(STEP=0.001)
           zt.allmeasures(interpolate=True)
           zt.usample(precision=3)
           zt.getBounds()
        
           print(zt.auc())
        
           # find the high precision and high sensitivity operating points
           zt.operating_zone(LRminus=.65)
           rf0,txt0=zt.interpret(fpr=zt._operating_zone.fpr.values[0],number_of_positives=10)
           rf1,txt1=zt.interpret(fpr=zt._operating_zone.fpr.values[1],number_of_positives=10)
           display(zt._operating_zone)
           print('high precision operation:\n','\n '.join(txt0))
           print('high recall operation:\n','\n '.join(txt1))
        
Keywords: machine learning,statistics
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Software Development :: Libraries
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.6
Requires-Python: >=3.6
Description-Content-Type: text/x-rst
