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        "author": "['Mohammed J. Zaki', 'Yukio Fukuzawa']",
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        "description": "Pycspade\n===\n\n#### What is this?\nThis is a python wrapper for the C++ implementation of C-SPADE algorithm by the author, Mohammed J. Zaki\nOriginal code was downloaded from http://www.cs.rpi.edu/~zaki/www-new/pmwiki.php/Software/Software#toc11\nSince this is just a wrapper it is as fast as the C++ code\n\n#### How to install?\nCompatible with Python 2 and 3. \nOn Windows, Visual Studio 2015 Build Tools is also required.\n\n```bash\npip install Cython pycspade\n```\n\n#### How to use?\nYour data needs to be in a particular format similar to the following:\n```text\n1 1 3 8 37 42\n1 2 4 4 11 37 42\n2 1 2 10 73\n2 2 1 72\n2 3 3 4 24 77\n...\n```\n\nThe first number is the sequence index, the second is the event index, the third is the number of elements, \nfollowed by the element, space separated\n\nLet's call this file `data.txt`. You will call cspade as following:\n```python\nfrom pycspade.helpers import spade, print_result\n\n# To get raw SPADE output\nresult = spade(filename='tests/zaki.txt', support=0.3, parse=False)\nprint(result['mined'])\n```\n```bash\n1 -- 4 4 \n2 -- 4 4 \n4 -- 2 2 \n6 -- 4 4 \n4 -> 6 -- 2 2 \n4 -> 2 -- 2 2 \n2 -> 1 -- 2 2 \n4 -> 1 -- 2 2 \n6 -> 1 -- 2 2 \n4 -> 6 -> 1 -- 2 2 \n4 -> 2 -> 1 -- 2 2\n```\n```python\nprint(result['logger'])\n```\n```bash\nCONF 4 9 2.7 2.5\nargs.MINSUPPORT 2 4\nMINMAX 1 4\n1 SUPP 4\n2 SUPP 4\n4 SUPP 2\n6 SUPP 4\nnumfreq 4 :   SUMSUP SUMDIFF = 0 0\nEXTRARYSZ 2465792\nOPENED /tmp/cspade-WWv9bQWBYdDyH85T.idx\nOFF 9 38\nWrote Offt \nBOUNDS 1 5\nWROTE INVERT \nCleaned up successful: /tmp/cspade-WWv9bQWBYdDyH85T.tpose\nCleaned up successful: /tmp/cspade-WWv9bQWBYdDyH85T.idx\nCleaned up successful: /tmp/cspade-WWv9bQWBYdDyH85T.data\nCleaned up successful: /tmp/cspade-WWv9bQWBYdDyH85T.conf\n```\n```python\nprint(result['summary'])\n```\n```bash\nCONF 4 9 2.5 2.7 10 1 4 0.781025 4\nTPOSE SEQ NOF2 /tmp/cspade-WWv9bQWBYdDyH85T.data 0.3 4 2 1 \nF1stats = [ 4 0 0 ]\nSPADE /tmp/cspade-WWv9bQWBYdDyH85T.tpose 0.3 2 7 0 0 0 0 0 -1 1 100 100 4 5 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n```\n\n```python\n# To also get other sequence mining's measures, incl. lift, support, confidence:\nresult = spade(filename='tests/zaki.txt', support=0.3, parse=True)\n# Pretty print result:\nprint_result(result)\n```\n```bash\n   Occurs     Accum   Support    Confid      Lift          Sequence\n        4        14 1.0000000       N/A       N/A               (1) \n        4         6 1.0000000       N/A       N/A               (2) \n        2         4 0.5000000 0.5000000 0.5000000          (2)->(1) \n        2         2 0.5000000       N/A       N/A               (4) \n        2         2 0.5000000 1.0000000 1.0000000          (4)->(1) \n        2         2 0.5000000 1.0000000 1.0000000          (4)->(2) \n        2         2 0.5000000 1.0000000 1.0000000     (4)->(2)->(1) \n        2         2 0.5000000 1.0000000 1.0000000          (4)->(6) \n        2         2 0.5000000 1.0000000 1.0000000     (4)->(6)->(1) \n        4         6 1.0000000       N/A       N/A               (6) \n        2         4 0.5000000 0.5000000 0.5000000          (6)->(1) \n```\n\n##### You can provide cspade with list of sequences instead of a file:\n```python\ndata = [\n    [1, 10, [3, 4]],\n    [1, 15, [1, 2, 3]],\n    [1, 20, [1, 2, 6]],\n    [1, 25, [1, 3, 4, 6]],\n    [2, 15, [1, 2, 6]],\n    [2, 20, [5]],\n    [3, 10, [1, 2, 6]],\n    [4, 10, [4, 7, 8]],\n    [4, 20, [2, 6]],\n    [4, 25, [1, 7, 8]]\n]\n\nresult = spade(data=data, support=0.01)\nprint_result(result)\n```\n\nThe result `seq` is a string, that have multiple rows and looks like this:\n\n```text\n22 80 -> 72 -> 42 -> 22 -- 2 2\n22 -> 45 71 -> 42 -- 1 1\n80 -> 45 71 -> 42 -- 1 1\n22 80 -> 45 71 -> 42 -- 1 1\n```\nLet's decipher the first row:\n```bash\n22 80 -> 72 -> 42 -> 22 -- 2 2\n```\n\nIt gives you the frequent sequence followed by support (the last two numbers, which will be the same in this application).\nThe row reads: the itemset (22 80) is followed by (72) followed by (42) followed by (22).\n\n\nThere're a lot of parameters that can be passed to this function. most important ones are:\n\n- `support`: this is the minimum support level, default to 0 (not excluding anything)\n- `max_gap`: The max number of itemset that can be skipped in a sequence\n- `min_gap`: The min number of itemset that must be skipped in a sequence\n\nRead the original paper and the C++ implementation for more details\n\n#### How to contribute?\n- Fork this repo\n- Make change\n- Pull request\n\n#### How to recompile to use in IDE?\n- `rm cspade.cpp; python setup.py build_ext --inplace`\n\n#### Licence\n- MIT",
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