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        "description": "================================================================================\nPython wrapper for MADlib \nSrivatsan Ramanujam <vatsan.cs@utexas.edu>, 3 Jan 2013\nThis currently implements Linear regression, Logistic Regression, \nSVM (regression & classification), K-Means and LDA algorithms of MADlib.\nRefer : http://doc.madlib.net/v0.5/ for MADlib's user documentation.\n================================================================================\n\nDependencies : \n===============\nYou'll need the python extension : psycopg2 to use PyMADlib.\n  (i)  If you have matplotlib installed, you'll see Matplotlib visualizations for Linear Regression demo.\n (ii)  If you have installed networkx (http://networkx.github.com/download.html), you'll see a visualization of the k-means demo\n(iii)  PyROC (https://github.com/marcelcaraciolo/PyROC) is included in the source of this distribution with permission from its developer. You'll see a visualization of the ROC curves for Logistic Regression.\n\nConfigurations:\n===============\nTo configure your DB Connection parameters\nYou should create a file in your home directory : ~/.pymadlib.config \nthat should look like so :\n\n------------------------------------------------------------\n[db_connection]\nuser = gpadmin\npassword = XXXXX\nhostname = 127.0.0.1 (or the IP of your DB server)\nport = 5432 (the port# of your DB)\ndatabase = vatsandb (the database you wish to connect to)\n------------------------------------------------------------\n\nINSTALLATION INSTRUCTIONS:\n===========================\n1) You may install pymadlib by downloading the source (from PyPI) and then run the following :\n\n     sudo python setup.py build\n     sudo python setup.py install\n         (OR)\n2) If you use easy_install or pip, simply run :\n     sudo easy_install pymadlib\n    \n\nRunning the Demos :\n===================\nYou may run the demo from the extracted directory of pymadlib like so :\n\npython example.py\n\n        (OR)\n        \nIf you installed PyMADlib using instructions in the previous section, then simply run\n\npython -c 'from pymadlib.example import runDemos; runDemos()'\n\n\nDatasets packaged with this installation :\n=========================================\nPyMADlib packages publicly available datasets from the UCI machine learning repository and other sources.\n\n1) Wine quality dataset from UCI Machine Learning repository : http://archive.ics.uci.edu/ml/datasets/Wine+Quality\n2) Auto MPG dataset from UCI ML repository : http://archive.ics.uci.edu/ml/datasets/Auto+MPG\n3) Obama-Romney second presidential debate (2012) transcripts for the LDA models. \n\n\nInstallation Issues:\n=====================\n\nInstalling pymadlib using distutils should automatically install the dependent library psycopg2, which is required to\nconnect to a PostGres database (where MADlib is installed on). If you are using Mac OSX 10.6.X you may run into issues\nwith installing psycopg2.\n\nHere are some blogs which discuss the issue and offer solutions:\n\nhttp://hardlifeofapo.com/psycopg2-and-postgresql-9-1-on-snow-leopard/\nhttp://www.initd.org/psycopg/articles/2010/11/11/links-about-building-psycopg-mac-os-x/",
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