{ "info": { "author": "Joanes Plazaola", "author_email": "joanes.plazamadi@gmail.com", "bugtrack_url": null, "classifiers": [ "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python :: 3" ], "description": "# Time-Series Featurizer\n\nThis module helps with the time series featurization, providing many tools and a simple interface for custom tools creation.\n\n- Time-Domain Featurization\n\t- Mean\n\t- Min / Max\n\t- Standard deviation\n\t- Kurtosis\n\t- Skewness\n\t- ...\n\n- Frequency-Domain Featurization\n\t- Peak detection\n\t- Energy\n\t- ...\n\n- Auto-regression\n\t- AR\n\t- ARMA\n\t- ARIMA\n\t- VAR\n\t- ...\n\n- Wavelet transform\n- Hilbert's transform\n\n\n", "description_content_type": "text/markdown", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://bitbucket.org/joanesplazaola/time-series-featurizer", "keywords": "", "license": "", "maintainer": "", "maintainer_email": "", "name": "tseries-featurizer", "package_url": "https://pypi.org/project/tseries-featurizer/", "platform": "", "project_url": "https://pypi.org/project/tseries-featurizer/", "project_urls": { "Homepage": "https://bitbucket.org/joanesplazaola/time-series-featurizer" }, "release_url": "https://pypi.org/project/tseries-featurizer/0.5/", "requires_dist": [ "pandas", "scipy", "statsmodels", "pywt", "matplotlib" ], "requires_python": "", "summary": "A time series featurizer.", "version": "0.5" }, "last_serial": 5321819, "releases": { "0.2": [ { "comment_text": "", "digests": { "md5": "91d8e265434264467ed194eb25c70604", "sha256": "d0231caab757a6d805e2a1682f6a7e596273f70cc41a3e4d333b104f610ad460" }, "downloads": -1, "filename": "tseries_featurizer-0.2-py3-none-any.whl", "has_sig": false, "md5_digest": "91d8e265434264467ed194eb25c70604", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 20189, "upload_time": "2019-01-17T08:43:29", "url": "https://files.pythonhosted.org/packages/5e/b4/6453769d02f169c3015ef0eb44010f1291c2634d9eef2e55e91cb3c2ee77/tseries_featurizer-0.2-py3-none-any.whl" } ], "0.3": [ { "comment_text": "", "digests": { "md5": "867cb05ce094af6fd43ed1a3955e7635", "sha256": "d35c50ea16e4cb7bc9670377d22e8fa424ef008fb96f682bbfecb4cd5a616420" }, "downloads": -1, "filename": "tseries_featurizer-0.3-py3-none-any.whl", "has_sig": false, "md5_digest": "867cb05ce094af6fd43ed1a3955e7635", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 19432, "upload_time": "2019-01-17T09:11:50", "url": "https://files.pythonhosted.org/packages/3e/b5/5ad7c31e100ef449ff4c515088deecac127d882c84d0071af746181fe22a/tseries_featurizer-0.3-py3-none-any.whl" } ], "0.4": [ { "comment_text": "", "digests": { "md5": "51896f7914359386b3b160dd64682504", "sha256": "e28e6488a5586382c4cd7d4875e14eac8b45ae0ccbc103d3567ffb9e07eb80fb" }, "downloads": -1, "filename": "tseries_featurizer-0.4-py3-none-any.whl", "has_sig": false, "md5_digest": "51896f7914359386b3b160dd64682504", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 19479, "upload_time": "2019-01-21T12:11:21", "url": "https://files.pythonhosted.org/packages/80/47/2252ec51b167e09bdf8c30404ae4a64c5c198ccf7241d10957ae8eaba28a/tseries_featurizer-0.4-py3-none-any.whl" } ], "0.5": [ { "comment_text": "", "digests": { "md5": "14cc09ded8d4a00a1735b1e10ad32f9f", "sha256": "f6c1842d6a7870a33f907dca35bf69a0f1e22fbbb21e8a6b0ef6c70cbe1a6f2b" }, "downloads": -1, "filename": "tseries_featurizer-0.5-py2-none-any.whl", "has_sig": false, "md5_digest": "14cc09ded8d4a00a1735b1e10ad32f9f", "packagetype": "bdist_wheel", "python_version": "py2", "requires_python": null, "size": 23273, "upload_time": "2019-05-27T10:46:31", "url": "https://files.pythonhosted.org/packages/cc/c0/ac1f8e0689730aa7767ea80811d1ff4f78984b3b92eadc4d61d6cb92c8b2/tseries_featurizer-0.5-py2-none-any.whl" }, { "comment_text": "", "digests": { "md5": "ff725cdfe1a09db31ce62017dcd240a4", "sha256": "4aa0e8cbc2022868328607139630a23bcbfff3c740c9690158102fadfb41cb0a" }, "downloads": -1, "filename": "tseries-featurizer-0.5.tar.gz", "has_sig": false, "md5_digest": "ff725cdfe1a09db31ce62017dcd240a4", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 19457, "upload_time": "2019-05-27T10:46:33", "url": "https://files.pythonhosted.org/packages/15/f7/980d4ab1ea5b10249df0c75230f36b22ba504993ac382b393635f184a85b/tseries-featurizer-0.5.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "14cc09ded8d4a00a1735b1e10ad32f9f", "sha256": "f6c1842d6a7870a33f907dca35bf69a0f1e22fbbb21e8a6b0ef6c70cbe1a6f2b" }, "downloads": -1, "filename": "tseries_featurizer-0.5-py2-none-any.whl", "has_sig": false, "md5_digest": "14cc09ded8d4a00a1735b1e10ad32f9f", "packagetype": "bdist_wheel", "python_version": "py2", "requires_python": null, "size": 23273, "upload_time": "2019-05-27T10:46:31", "url": "https://files.pythonhosted.org/packages/cc/c0/ac1f8e0689730aa7767ea80811d1ff4f78984b3b92eadc4d61d6cb92c8b2/tseries_featurizer-0.5-py2-none-any.whl" }, { "comment_text": "", "digests": { "md5": "ff725cdfe1a09db31ce62017dcd240a4", "sha256": "4aa0e8cbc2022868328607139630a23bcbfff3c740c9690158102fadfb41cb0a" }, "downloads": -1, "filename": "tseries-featurizer-0.5.tar.gz", "has_sig": false, "md5_digest": "ff725cdfe1a09db31ce62017dcd240a4", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 19457, "upload_time": "2019-05-27T10:46:33", "url": "https://files.pythonhosted.org/packages/15/f7/980d4ab1ea5b10249df0c75230f36b22ba504993ac382b393635f184a85b/tseries-featurizer-0.5.tar.gz" } ] }