{ "info": { "author": "Agriscope", "author_email": "team@agriscope.fr", "bugtrack_url": null, "classifiers": [ "Development Status :: 1 - Planning", "License :: OSI Approved :: GNU Lesser General Public License v3 (LGPLv3)", "Natural Language :: French", "Operating System :: OS Independent", "Programming Language :: Python", "Programming Language :: Python :: 2.7", "Topic :: Database :: Database Engines/Servers" ], "description": "\nAgmodeling\n===========\nStatistical modeling tools, to unify model creation and scoring based on python\n\npackage agmodeling.setscoring implements a part of the SET method for comparing\nsensor output as described by :\n\nAn Evaluation Tool Kit of Air Quality 1 Micro-Sensing Units \n(Barak Fishbain1,Uri Lerner, Nuria Castell-Balaguer)\n\n\n\nWhat's New\n===========\n- (2019/08) python 3 support (v 0.4)\n- (2018/11) First version (v 0.3)\n\n\n\nDependencies\n=============\n\nAgmodeling is written to be use with python 2.7 and python 3.6\nIt requires Pandas, numpy and scipy\nIt requires `Pandas`::\n\n pip install pandas\n pip install numpy\n pip install scipy\n\n\nInstallations\n=============\n\n pip install agmodeling\n\n\nUses cases\n========== \n\n\tfrom agmodeling.scoring.set_method import get_IPI_score\n\timport pandas as pd\n\n\tfile = u'sample_data.xlsx'\n\tprint (u'Read excel data file : %s'%file)\n\tdf = pd.read_excel(file)\n\tipi = get_IPI_score(df[u\"PM10_REF\"], df[u\"PM10_MOD_EARTH\"])\n\n print ipi\n\n Match : RMSE : Pearson : Kendall : Spearman : LFE :: IPI\n\t 0.763240 : 0.061937 : 0.909195 : 0.657553 : 0.832455 : 0.990418 :: 0.848801\n\n\t 0.848801\n\n\nYou can run the whole demo inside the package \n\n\tcd demo\n\tpython .\\demo_SET_scoring.py\n\tRead excel data file : sample_data.xlsx\n\tcontaining 2568 data\n\n\n\tScore IPI for PM25_RAW\n\t Match : RMSE : Pearson : Kendall : Spearman : LFE :: IPI \n\t 0.492835 : 0.869434 : 0.639916 : 0.417968 : 0.575632 : 0.980010 :: 0.539488 \n\n\tScore IPI for PM25_MOD_QUAD\n\t Match : RMSE : Pearson : Kendall : Spearman : LFE :: IPI \n\t 0.687539 : 0.374117 : 0.747821 : 0.524258 : 0.695786 : 0.980010 :: 0.710216 \n\n\tScore IPI for PM25_MOD_EARTH\n\t Match : RMSE : Pearson : Kendall : Spearman : LFE :: IPI \n\t 0.648910 : 0.337527 : 0.800773 : 0.537126 : 0.713852 : 0.980010 :: 0.723857 \n\n\tScore IPI for PM10_RAW\n\t Match : RMSE : Pearson : Kendall : Spearman : LFE :: IPI \n\t 0.486604 : 0.786641 : 0.454199 : 0.269705 : 0.393423 : 0.990388 :: 0.467946 \n\n\tScore IPI for PM10_MOD_QUAD\n\t Match : RMSE : Pearson : Kendall : Spearman : LFE :: IPI \n\t 0.742056 : 0.221220 : 0.866073 : 0.612143 : 0.789426 : 0.990388 :: 0.796478 \n\n\tScore IPI for PM10_MOD_EARTH\n\t Match : RMSE : Pearson : Kendall : Spearman : LFE :: IPI \n\t 0.763240 : 0.184250 : 0.909195 : 0.657553 : 0.832455 : 0.990388 :: 0.828097 \n\n\tResults :\n\t\"\t\tRAW MOD_QUAD MOD_EARTH\n\tPM10 0.467946 0.796478 0.828097\n\tPM25 0.539488 0.710216 0.723857\"\n\n\tFin du programme\n\n\n\n", "description_content_type": "", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/agriscope/agmodeling/", "keywords": "", "license": "", "maintainer": "", "maintainer_email": "", "name": "agmodeling", "package_url": "https://pypi.org/project/agmodeling/", "platform": "", "project_url": "https://pypi.org/project/agmodeling/", "project_urls": { "Homepage": "https://github.com/agriscope/agmodeling/" }, "release_url": "https://pypi.org/project/agmodeling/0.4/", "requires_dist": null, "requires_python": "", "summary": "Statistical modeling tools, to unify model creation and scoring based on python", "version": "0.4" }, "last_serial": 5770545, "releases": { "0.0.1": [ { "comment_text": "", "digests": { "md5": "96a12444d58e751f801a646d71468c62", "sha256": "4e630d01b2a2b601fede2ed01825f32d03e2a9f18f344919b54728aa1b1f1adf" }, "downloads": -1, "filename": "agmodeling-0.0.1-py2-none-any.whl", "has_sig": false, "md5_digest": "96a12444d58e751f801a646d71468c62", "packagetype": "bdist_wheel", "python_version": "py2", "requires_python": null, "size": 5837, "upload_time": "2018-11-29T13:25:05", "url": "https://files.pythonhosted.org/packages/6f/89/043a4f3bd8fa3dd363b82117b223e5bc151339ad7a96d5fb9193814854da/agmodeling-0.0.1-py2-none-any.whl" }, { "comment_text": "", "digests": { "md5": "d6949d32e671d17670f557635783fc7f", "sha256": "bbb877620bee743159339acb194c514d204e3212baac74d57edd0cb161de7aff" }, "downloads": -1, "filename": "agmodeling-0.0.1.tar.gz", "has_sig": false, "md5_digest": "d6949d32e671d17670f557635783fc7f", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 5071, "upload_time": "2018-11-29T13:25:07", "url": "https://files.pythonhosted.org/packages/92/ba/c3b8d722bbeef790d06dc6312095f460944742e6df9185d0a52fac0eca9a/agmodeling-0.0.1.tar.gz" } ], "0.3": [ { "comment_text": "", "digests": { "md5": "7af604a050b539c8be0eea115173fc09", "sha256": "c6abd45a075ea47f86f5dc7109aa9efbb2135d35dbab86fa4e1b44e54dbed950" }, "downloads": -1, "filename": "agmodeling-0.3-py2-none-any.whl", "has_sig": false, "md5_digest": "7af604a050b539c8be0eea115173fc09", "packagetype": "bdist_wheel", "python_version": "py2", "requires_python": null, "size": 7116, "upload_time": "2018-11-30T08:24:31", "url": "https://files.pythonhosted.org/packages/bc/18/1e31147972d3bf720f5e541b6a74d3507c4bc79513ceda9cf12d32b421f2/agmodeling-0.3-py2-none-any.whl" }, { "comment_text": "", "digests": { "md5": "c005730e2e95c5a1c3e436d269c4d677", "sha256": "14a78783d8928316905e0dbee73d73337619f8e1e88dcf45fd06f628eec056e4" }, "downloads": -1, "filename": "agmodeling-0.3.tar.gz", "has_sig": false, "md5_digest": "c005730e2e95c5a1c3e436d269c4d677", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 5903, "upload_time": "2018-11-30T08:24:32", "url": "https://files.pythonhosted.org/packages/f5/ce/534843b727212ad72200b4d45a5d728316bcd88802220279d1a9658362c8/agmodeling-0.3.tar.gz" } ], "0.4": [ { "comment_text": "", "digests": { "md5": "7e0b7aa5f903f511439b0c2931bf0797", "sha256": "c629979b0dc82fba97121c5775594d177b231c1b86edafc0f0221b182bb033e0" }, "downloads": -1, "filename": "agmodeling-0.4-py3-none-any.whl", "has_sig": false, "md5_digest": "7e0b7aa5f903f511439b0c2931bf0797", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 17737, "upload_time": "2019-09-02T12:11:51", "url": "https://files.pythonhosted.org/packages/03/c4/8302f166bf64f89740682382ae778c16246b0dd8f829c4bc7c3e6a2507d5/agmodeling-0.4-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "f9acf8d040a902ef14f9244166fb3167", "sha256": "df1ebbdabd7aaecf639bbbc8e4a1ea23afdf4cde5ef0de94276020815bd2ea9a" }, "downloads": -1, "filename": "agmodeling-0.4.tar.gz", "has_sig": false, "md5_digest": "f9acf8d040a902ef14f9244166fb3167", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 5986, "upload_time": "2019-09-02T12:11:52", "url": "https://files.pythonhosted.org/packages/b2/e2/55aa9649a6217cb2615babf22dbc5f01ad9fe47a5d5ea82ab9816a660707/agmodeling-0.4.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "7e0b7aa5f903f511439b0c2931bf0797", "sha256": "c629979b0dc82fba97121c5775594d177b231c1b86edafc0f0221b182bb033e0" }, "downloads": -1, "filename": "agmodeling-0.4-py3-none-any.whl", "has_sig": false, "md5_digest": "7e0b7aa5f903f511439b0c2931bf0797", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 17737, "upload_time": "2019-09-02T12:11:51", "url": "https://files.pythonhosted.org/packages/03/c4/8302f166bf64f89740682382ae778c16246b0dd8f829c4bc7c3e6a2507d5/agmodeling-0.4-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "f9acf8d040a902ef14f9244166fb3167", "sha256": "df1ebbdabd7aaecf639bbbc8e4a1ea23afdf4cde5ef0de94276020815bd2ea9a" }, "downloads": -1, "filename": "agmodeling-0.4.tar.gz", "has_sig": false, "md5_digest": "f9acf8d040a902ef14f9244166fb3167", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 5986, "upload_time": "2019-09-02T12:11:52", "url": "https://files.pythonhosted.org/packages/b2/e2/55aa9649a6217cb2615babf22dbc5f01ad9fe47a5d5ea82ab9816a660707/agmodeling-0.4.tar.gz" } ] }