{ "info": { "author": "Sat Kumar Tomer", "author_email": "satkumartomer@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Environment :: Other Environment", "Intended Audience :: Science/Research", "License :: OSI Approved :: GNU Library or Lesser General Public License (LGPL)", "Operating System :: OS Independent", "Programming Language :: Python", "Topic :: Scientific/Engineering" ], "description": "==================================================\r\nThis library is now part of the ambhas \r\n(http://pypi.python.org/pypi/ambhas/) library. \r\nUpdates will only be made in the ambhas library. \r\n==================================================\r\n\r\n============\r\nerrlib\r\n============\r\n\r\nThis is a package/library in python to estimate various error indices.\r\nThis is being developed under the project `AMBHAS `_.\r\n\r\n\r\nInstalling errlib\r\n======================\r\n\r\nInstalling errlib can be done by downloading source file (errlib--.tar.gz),\r\nand after unpacking issuing the command::\r\n\r\n python setup.py install\r\n\r\nThis requires the usual Distutils options available.\r\n\r\nOr, download the errlib--.tar.gz file and issue the command::\r\n \r\n pip install /path/to/errlib--.tar.gz\r\n\r\nOr, directly using the pip::\r\n\r\n pip install errlib \r\n\r\n\r\nUsage\r\n=========\r\nImport required modules::\r\n\r\n import numpy as np\r\n from errlib.errlib import rmse, correlation\r\n\r\nGenerate some random numbers::\r\n\r\n x = np.random.normal(size=100)\r\n y = np.random.normal(size=100)\r\n rmse(x,y)\r\n correlation(x,y)\r\n \r\nChangelog\r\n=========\r\n\r\n0.0.0 (July 2011)\r\n------------------\r\n- Initial release\r\n\r\n\r\nAny questions/comments\r\n=========================\r\nIf you have any comment/suggestion/question, \r\nplease feel free to write me at satkumartomer@gmail.com\r\n\r\nSo far, the documents are not well explained, \r\nI will be updating them soon.", 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