Metadata-Version: 1.0
Name: errlib
Version: 0.0.0
Summary: A library to estimate various error indices
Home-page: http://ambhas.com/
Author: Sat Kumar Tomer
Author-email: satkumartomer@gmail.com
License: UNKNOWN
Download-URL: http://ambhas.com/tools/errlib-0.0.0.tar.gz
Description: ============
        errlib
        ============
        
        This is a package/library in python to estimate various error indices.
        This is being developed under the project `AMBHAS <http://www.ambhas.com/>`_.
        
        
        Installing errlib
        ======================
        
        Installing errlib can be done by downloading source file (errlib--<version>.tar.gz),
        and after unpacking issuing the command::
        
            python setup.py install
        
        This requires the usual Distutils options available.
        
        Or, download the errlib--<version>.tar.gz file and issue the command::
            
           pip install /path/to/errlib--<version>.tar.gz
        
        Or, directly using the pip::
        
           pip install errlib   
        
        
        Usage
        =========
        Import required modules::
        
            import numpy as np
            from errlib.errlib import rmse, correlation
        
        Generate some random numbers::
        
            x = np.random.normal(size=100)
            y = np.random.normal(size=100)
            rmse(x,y)
            correlation(x,y)
          
        Changelog
        =========
        
        0.0.0 (July 2011)
        ------------------
        - Initial release
        
        
        Any questions/comments
        =========================
        If you have any comment/suggestion/question, 
        please feel free to write me at satkumartomer@gmail.com
        
        So far, the documents are not well explained, 
        I will be updating them soon.
        
        
        
        
        
Keywords: rmse,correlation
Platform: UNKNOWN
Classifier: Programming Language :: Python
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Other Environment
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU Library or Lesser General Public License (LGPL)
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering
