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        "description": "# AntiSpam\n\n[![downloads](https://img.shields.io/pypi/dm/antispam.svg)](https://pypi.python.org/pypi/antispam/)\n[![version](https://img.shields.io/pypi/v/antispam.svg?label=version)](https://pypi.python.org/pypi/antispam/)\n[![supported](https://img.shields.io/pypi/pyversions/antispam.svg)](https://pypi.python.org/pypi/antispam/)\n[![license](https://img.shields.io/pypi/l/antispam.svg)](https://opensource.org/licenses/MIT)\n\nBayesian anti-spam classifier written in Python.\n\nPyPI: [pypi.python.org/pypi/antispam](https://pypi.python.org/pypi/antispam)\n\n# Installation\n\n```\npip install antispam\n```\n\n# Usage\n\nUse the built-in training model provided by antispam:\n\n```\nimport antispam\n\nantispam.score(\"Cheap shoes for sale at DSW shoe store!\")\n# => 0.9657724517163143\n\nantispam.isspam(\"Cheap shoes for sale at DSW shoe store!\")\n# => True\n\nantispam.score(\"Hi mark could you please send me a copy of your machine learning homework? thanks\")\n# => 0.0008064840568731558\n\nantispam.score(\"Hi mark could you please send me a copy of your machine learning homework? thanks\")\n# => False\n\n```\n\nTrain your own modle.\n\n```\nimport antispam\n\nd = antispam.Detector(\"my_model.dat\")\n\nd.train(\"Super cheap octocats for sale at GitHub.\", True)\nd.train(\"Hi John, could you please come to my office by 3pm? Ding\", False)\n\nmsg1 = \"Cheap shoes for sale at DSW shoe store!\"\nd.score(msg1)\n# => 0.9999947825633266\n\nd.is_spam(msg1)\n# => True\n\nmsg2 = \"Hi mark could you please send me a copy of your machine learning homework? thanks\"\nd.score(msg2)\n# => 4.021280114849398e-08\n\nd.is_spam(msg2)\n# => False\n```\n\n##License\n\n[MIT Licenses](https://opensource.org/licenses/MIT)",
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