{ "info": { "author": "Ishita Takeshi", "author_email": "ishitah.takeshi@gmail.com", "bugtrack_url": null, "classifiers": [], "description": "Exact Soft Confidence-Weighted Learning\r\n=======================================\r\n\r\nThe algorithm\r\n-------------\r\n\r\nThis is an online supervised learning algorithm which utilizes all the\r\nfour salient properties:\r\n\r\n- Large margin training\r\n- Confidence weighting\r\n- Capability to handle non-separable data\r\n- Adaptive margin\r\n\r\nThe paper is `here `__.\r\n\r\nSCW has 2 formulations of its algorithm which are SCW-I and SCW-II. They\r\ncan be accessed like below.\r\n\r\n::\r\n\r\n scw.SCW1(C, ETA)\r\n scw.SCW2(C, ETA)\r\n\r\nC and ETA are hyperparameters.\r\n\r\nUsage\r\n-----\r\n\r\n::\r\n\r\n from scw import SCW1, SCW2\r\n\r\n scw = SCW1(C=1.0, ETA=1.0)\r\n scw.fit(X, y)\r\n y_pred = scw.perdict(X)\r\n\r\n| ``X`` and ``y`` are 2-dimensional and 1-dimensional array respectively.\r\n| ``X`` is a set of data vectors. Each row of ``X`` represents a feature vector.\r\n| ``y`` is a set of labels corresponding with ``X``.\r\n\r\nNote\r\n----\r\n\r\n1. This package performs only binary classification, not multiclass\r\n classification.\r\n2. Training labels must be 1 or -1. No other labels allowed.", "description_content_type": null, "docs_url": null, "download_url": "UNKNOWN", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://pypi.python.org/pypi/scw", "keywords": "Exact Soft Confidence-Weighted Learning", "license": "MIT", "maintainer": "", "maintainer_email": "", "name": "scw", "package_url": "https://pypi.org/project/scw/", "platform": "UNKNOWN", "project_url": "https://pypi.org/project/scw/", "project_urls": { "Download": "UNKNOWN", "Homepage": "https://pypi.python.org/pypi/scw" }, "release_url": "https://pypi.org/project/scw/1.1.2/", "requires_dist": null, "requires_python": null, "summary": "An implementation of Exact Soft Confidence-Weighted Learning", "version": "1.1.2" }, "last_serial": 1969176, "releases": { "1.0": [ { "comment_text": "", "digests": { "md5": "747ac40c8f39c2cd2e6a9f2474c578bc", "sha256": "8388338c55e5b26be4358a691d74024851ef8870fb654ed35e30f06b7c8f09a3" }, "downloads": -1, "filename": "scw-1.0.tar.gz", "has_sig": false, "md5_digest": "747ac40c8f39c2cd2e6a9f2474c578bc", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 2413, "upload_time": "2014-09-16T05:53:32", "url": "https://files.pythonhosted.org/packages/61/e6/a441d7ec83a3681cbca0a09e512c729e4ac898e0aefe73589e007f952461/scw-1.0.tar.gz" } ], "1.1.0": [ { "comment_text": "", "digests": { "md5": "1d02050b2625d279e5716c9436e11178", "sha256": "405fe72f15b666266c4e284c65ec96512cc96b8886b260667a6b1dea1b99b82b" }, "downloads": -1, "filename": "scw-1.1.0.tar.gz", "has_sig": false, "md5_digest": "1d02050b2625d279e5716c9436e11178", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 2318, "upload_time": "2015-07-15T10:01:30", "url": "https://files.pythonhosted.org/packages/8d/45/887c106e4957ac13ac24782289a4b78f206cf468671b3e19438d707cc4ae/scw-1.1.0.tar.gz" } ], "1.1.1": [ { "comment_text": "", "digests": { "md5": "7833a5b4601abcd938db2a1649ae4742", "sha256": "f44b5c02282d33f7e0c8bff7c1d484fba020e7e76813cbe0ad444d0bfb02bb99" }, "downloads": -1, "filename": "scw-1.1.1.tar.gz", "has_sig": false, "md5_digest": "7833a5b4601abcd938db2a1649ae4742", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 2352, "upload_time": "2015-08-18T06:05:09", "url": "https://files.pythonhosted.org/packages/46/e2/4f54ad5b1bedb8a0ab28b9ef5c24c9530fc1065de7ff617bc3236a15a138/scw-1.1.1.tar.gz" } ], "1.1.2": [ { "comment_text": "", "digests": { "md5": "cf2bbfa411802e74a7d4db0891c2a103", "sha256": "9c7f9ad5fc5aa4e445b64a02d23b694758e6b51d61afefaaf7e9233c6515c415" }, "downloads": -1, "filename": "scw-1.1.2.tar.gz", "has_sig": false, "md5_digest": "cf2bbfa411802e74a7d4db0891c2a103", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 2416, "upload_time": "2016-02-22T07:08:11", "url": "https://files.pythonhosted.org/packages/c0/cd/a8be5ec0460a0b6c1f5260828615e9f8abe988967fc44d2f2feb89cf5933/scw-1.1.2.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "cf2bbfa411802e74a7d4db0891c2a103", "sha256": "9c7f9ad5fc5aa4e445b64a02d23b694758e6b51d61afefaaf7e9233c6515c415" }, "downloads": -1, "filename": "scw-1.1.2.tar.gz", "has_sig": false, "md5_digest": "cf2bbfa411802e74a7d4db0891c2a103", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 2416, "upload_time": "2016-02-22T07:08:11", "url": "https://files.pythonhosted.org/packages/c0/cd/a8be5ec0460a0b6c1f5260828615e9f8abe988967fc44d2f2feb89cf5933/scw-1.1.2.tar.gz" } ] }