{ "info": { "author": "Pranav Bahl", "author_email": "pranavshekharbahl@gmail.com", "bugtrack_url": null, "classifiers": [], "description": "# TSMetrics\n\nWelcome!\n\nWhile building millions of time series models on daily basis I used various commonly used evaluation metrics. I thought putting all of them together as a package could be beneficial for like wise users.\n\n## Installation\n\nYou can pip install it straight from git:\n```\npip install git+git://\n```\n\n\n", "description_content_type": null, "docs_url": null, "download_url": "https://github.com/pranavbahl2308/tsmetrics", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/pranavbahl2308/tsmetrics", "keywords": "python,timeseries,evaluation,metrics,rmse,mse,mae,mape,mase,smape,sse,smse,nmse", "license": "MIT", "maintainer": "", "maintainer_email": "", "name": "tsmetrics", "package_url": "https://pypi.org/project/tsmetrics/", "platform": "", "project_url": "https://pypi.org/project/tsmetrics/", "project_urls": { "Download": "https://github.com/pranavbahl2308/tsmetrics", "Homepage": "https://github.com/pranavbahl2308/tsmetrics" }, "release_url": "https://pypi.org/project/tsmetrics/0.1.0/", "requires_dist": [ "numpy" ], "requires_python": "", "summary": "Evaluation metrics for time series analysis", "version": "0.1.0" }, "last_serial": 3510135, "releases": { "0.1.0": [ { "comment_text": "", "digests": { "md5": "799875c49160cd77477dcb50fe6a4b60", "sha256": "13121f280b6a652f1048ec05ec7e66a0f025934b4fc5158314434f160022ca2d" }, "downloads": -1, "filename": "tsmetrics-0.1.0-py2-none-any.whl", "has_sig": false, "md5_digest": "799875c49160cd77477dcb50fe6a4b60", "packagetype": "bdist_wheel", "python_version": "py2", "requires_python": null, "size": 3905, "upload_time": "2018-01-22T05:08:43", "url": "https://files.pythonhosted.org/packages/0e/86/124f132e90762219bd709858c0a67bfc46923a8b7109925a5f2c04367a7d/tsmetrics-0.1.0-py2-none-any.whl" }, { "comment_text": "", "digests": { "md5": "cced233cd816eba5af372f627ba19c61", "sha256": "3cc504098a5d27096a02589ff2294416471b081cde3e2f734fbdef7d7bf4c684" }, "downloads": -1, "filename": "tsmetrics-0.1.0.tar.gz", "has_sig": false, "md5_digest": "cced233cd816eba5af372f627ba19c61", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 2749, "upload_time": "2018-01-22T05:08:45", "url": "https://files.pythonhosted.org/packages/64/43/e280e44c20ab24de77603a1e638029fb56e8138f81b2b6bdede3bcbad95c/tsmetrics-0.1.0.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "799875c49160cd77477dcb50fe6a4b60", "sha256": "13121f280b6a652f1048ec05ec7e66a0f025934b4fc5158314434f160022ca2d" }, "downloads": -1, "filename": "tsmetrics-0.1.0-py2-none-any.whl", "has_sig": false, "md5_digest": "799875c49160cd77477dcb50fe6a4b60", "packagetype": "bdist_wheel", "python_version": "py2", "requires_python": null, "size": 3905, "upload_time": "2018-01-22T05:08:43", "url": "https://files.pythonhosted.org/packages/0e/86/124f132e90762219bd709858c0a67bfc46923a8b7109925a5f2c04367a7d/tsmetrics-0.1.0-py2-none-any.whl" }, { "comment_text": "", "digests": { "md5": "cced233cd816eba5af372f627ba19c61", "sha256": "3cc504098a5d27096a02589ff2294416471b081cde3e2f734fbdef7d7bf4c684" }, "downloads": -1, "filename": "tsmetrics-0.1.0.tar.gz", "has_sig": false, "md5_digest": "cced233cd816eba5af372f627ba19c61", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 2749, "upload_time": "2018-01-22T05:08:45", "url": "https://files.pythonhosted.org/packages/64/43/e280e44c20ab24de77603a1e638029fb56e8138f81b2b6bdede3bcbad95c/tsmetrics-0.1.0.tar.gz" } ] }