Metadata-Version: 1.1
Name: py-entitymatching
Version: 0.3.0
Summary: Python library for end to end Entity Matching.
Home-page: https://sites.google.com/site/anhaidgroup/projects/magellan/py_entitymatching
Author: UW Magellan Team
Author-email: uwmagellan@gmail.com
License: BSD
Description: py_entitymatching
        =================
        
        This project seeks to build a Python software package to match entities
        between two tables using supervised learning. This problem is often
        referred as entity matching (EM). Given two tables A and B, the goal of
        EM is to discover the tuple pairs between two tables that refer to the
        same real-world entities. There are two main steps involved in entity matching:
        blocking and matching. The blocking step aims to remove obvious non-matching
        tuple pairs and reduce the set considered for matching. Entity matching in
        practice involves many steps than just blocking and matching. While performing EM
        users often execute many steps, e.g. exploring, cleaning, debugging, sampling,
        estimating accuracy, etc. Current EM systems however do not cover the entire
        EM pipeline, providing support only for a few steps (e.g., blocking, matching), while
        ignoring less well-known yet equally critical steps (e.g., debgging, sampling).
        This package seeks to support all the steps involved in EM pipeline.
        
        The package is free, open-source, and BSD-licensed.
        
        Important links
        ===============
        
        * Project Homepage: https://sites.google.com/site/anhaidgroup/projects/magellan/py_entitymatching
        * Code repository: https://github.com/anhaidgroup/py_entitymatching
        * Issue Tracker: https://github.com/anhaidgroup/py_entitymatching/issues
        
        Dependencies
        ============
        
        The required dependencies to build the packages are:
        
        * pandas (provides data structures to store and manage tables)
        * scikit-learn (provides implementations for common machine learning algorithms)
        * joblib (provides multiprocessing capabilities)
        * pyqt5 (provides tools to build GUIs)
        * py_stringsimjoin (provides implementations for string similarity joins)
        * py_stringmatching (provides a set of string tokenizers and string similarity functions)
        * cloudpickle (provides functions to serialize Python constructs)
        * pyprind (library to display progress indicators)
        * pyparsing (library to parse strings)
        * six (provides functions to write compatible code across Python 2 and 3)
        
        Platforms
        =========
        
        py_entitymatching has been tested on Linux, OS X and Windows.
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Education
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Classifier: Operating System :: Microsoft :: Windows
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Utilities
Classifier: Topic :: Software Development :: Libraries
