{ "info": { "author": "Avilay Parekh", "author_email": "avilay@gmail.com", "bugtrack_url": null, "classifiers": [], "description": "# ML Metrics\nA simple and flexible API to log metrics. Currently a metrics logger for logging to SQLite is implemented. Other backends can be implemented as needed.\n\n# Quickstart\n## Write Logs\n```python\nfrom mlmetrics.sqlitemetrics.sqlite_metric import SqliteMetric\n\ndb = './metrics.db'\nmetric = SqliteMetric(db, name='fuel_gauge', labels={'model', 'trip'})\nmetric.log(model='toyota', trip='short', value=1.2)\n```\n\n## Query Logs\n```python\nfrom mlmetrics.sqlitemetrics.sqlite_metric import SqliteMetric\n\ndb = './metrics.db'\nlogs = metric.logs(start=1550554038.80172, end=1550554038.80265)\nfor row in logs:\n for fld in row.keys():\n print(fld, row[fld])\n```\n\nFor more details see the [Homepage](https://gitlab.com/avilay/ml-metrics)", "description_content_type": "text/markdown", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://gitlab.com/avilay/ml-metrics", "keywords": "", "license": "MIT", "maintainer": "", "maintainer_email": "", "name": "avilabs-ml-metrics", "package_url": "https://pypi.org/project/avilabs-ml-metrics/", "platform": "", "project_url": "https://pypi.org/project/avilabs-ml-metrics/", "project_urls": { "Homepage": "https://gitlab.com/avilay/ml-metrics" }, "release_url": "https://pypi.org/project/avilabs-ml-metrics/1.1.0/", "requires_dist": null, "requires_python": "", "summary": "Metrics for Machine Learning", "version": "1.1.0" }, "last_serial": 4890402, "releases": { "0.0.1": [ { "comment_text": "", "digests": { "md5": "4d538ff22409997f803ffade46bfd124", "sha256": "bbe2222430e59dca213d85815f8ba4cc4a21485bb07611cd0a236318477108d4" }, "downloads": -1, "filename": "avilabs-ml-metrics-0.0.1.tar.gz", "has_sig": false, "md5_digest": "4d538ff22409997f803ffade46bfd124", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 3734, "upload_time": "2019-02-23T03:41:57", "url": "https://files.pythonhosted.org/packages/6f/94/0ab7d194b40b03fcf53cfd596146033b4b5403d0c818eee63c722145a4c2/avilabs-ml-metrics-0.0.1.tar.gz" } ], "0.0.2": [ { "comment_text": "", "digests": { "md5": "47c346beb60f9ddd2c4567ae3684917c", "sha256": "396e327f232a6c2ca56b38720d7840d49c71e002a86cbe5f5a0d083d759a65a9" }, "downloads": -1, "filename": "avilabs-ml-metrics-0.0.2.tar.gz", "has_sig": false, "md5_digest": "47c346beb60f9ddd2c4567ae3684917c", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 4036, "upload_time": "2019-02-24T01:47:35", "url": "https://files.pythonhosted.org/packages/6c/bc/cb6da98932125ab532d048f4b113facc3743d0a5bb0021399c2820f56050/avilabs-ml-metrics-0.0.2.tar.gz" } ], "1.0.1": [ { "comment_text": "", "digests": { "md5": "741b8bb3d517a1fbb6cdd163a2b366fe", "sha256": "db79e2fd111f77ff57e5024a6bfe0ac778a9f9c955000e9a9a7527c349824fe6" }, "downloads": -1, "filename": "avilabs-ml-metrics-1.0.1.tar.gz", "has_sig": false, "md5_digest": "741b8bb3d517a1fbb6cdd163a2b366fe", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 4000, "upload_time": "2019-02-24T01:55:57", "url": "https://files.pythonhosted.org/packages/74/cb/2df1d382c62cd9ac126360defec3b6a0a8446fbbf66c94aa077de28eb45e/avilabs-ml-metrics-1.0.1.tar.gz" } ], "1.0.2": [ { "comment_text": "", "digests": { "md5": "2a90e8ecf7e770ac75e80709b45b7154", "sha256": "af1856b41251ed77bd0ca6f241d55adad892b15b1e65deda7bd90f0b529541ff" }, "downloads": -1, "filename": "avilabs-ml-metrics-1.0.2.tar.gz", "has_sig": false, "md5_digest": "2a90e8ecf7e770ac75e80709b45b7154", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 4066, "upload_time": "2019-03-03T01:10:55", "url": "https://files.pythonhosted.org/packages/b8/dd/8d55391d0b7fd41b644e183ab5e88ea49eace06730ef0f98e76926995add/avilabs-ml-metrics-1.0.2.tar.gz" } ], "1.1.0": [ { "comment_text": "", "digests": { "md5": "d922ad214cb5db877947277efb286d74", "sha256": "2645bd0f5adb44267acf2609839673ea91f0e4dfb177773183121200dd21c587" }, "downloads": -1, "filename": "avilabs-ml-metrics-1.1.0.tar.gz", "has_sig": false, "md5_digest": "d922ad214cb5db877947277efb286d74", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 4128, "upload_time": "2019-03-03T09:13:43", "url": "https://files.pythonhosted.org/packages/d5/98/3399c84dd7842ad8969b112978aa38e0dd3e326f62b7f5d705cdd8962426/avilabs-ml-metrics-1.1.0.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "d922ad214cb5db877947277efb286d74", "sha256": "2645bd0f5adb44267acf2609839673ea91f0e4dfb177773183121200dd21c587" }, "downloads": -1, "filename": "avilabs-ml-metrics-1.1.0.tar.gz", "has_sig": false, "md5_digest": "d922ad214cb5db877947277efb286d74", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 4128, "upload_time": "2019-03-03T09:13:43", "url": "https://files.pythonhosted.org/packages/d5/98/3399c84dd7842ad8969b112978aa38e0dd3e326f62b7f5d705cdd8962426/avilabs-ml-metrics-1.1.0.tar.gz" } ] }