{ "info": { "author": "Luminovo GmbH", "author_email": "pypi@luminovo.ai", "bugtrack_url": null, "classifiers": [ "Development Status :: 3 - Alpha", "License :: OSI Approved :: MIT License", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.7" ], "description": "
\n\n# Metriculous\nVery unstable library containing utilities to measure and visualize statistical properties of machine learning models.\n\n## Quickstart\nFor examples and a general introduction please refer to [the quickstart notebook](./notebooks/quickstart.ipynb).\n\n## Development\n\n### Pre-commit\nPlease make sure to have the pre-commit hooks installed.\nInstall [pre-commit](https://pre-commit.com/) and then run `pre-commit install` to register the hooks with git.\n\n### Poetry\nThis project uses [poetry](https://poetry.eustace.io/) to manage\ndependencies. Please make sure it is installed for the required python\nversion. Then install the dependencies with:\n\n```\npoetry install\n```\n\nTo activate the virtual environment created by `poetry`, run\n\n```\npoetry shell\n```\n\nor execute individual commands with `poetry run`, e.g.\n\n```\npoetry run jupyter notebook\n```\n\n### Makefile\nRun `make help` to see all available commands.\n\n\n```\n$ make help \nhelp Show this help message\nbump Bump metriculous version\ncheck Run all static checks (like pre-commit hooks)\ntest Run all tests \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://gitlab.com/luminovo/public/metriculous", "keywords": "metriculous,machine,learning,metrics", "license": "MIT", "maintainer": "Luminovo GmbH", "maintainer_email": "pypi@luminovo.ai", "name": "metriculous", "package_url": "https://pypi.org/project/metriculous/", "platform": "", "project_url": "https://pypi.org/project/metriculous/", "project_urls": { "Homepage": "https://gitlab.com/luminovo/public/metriculous", "Repository": "https://gitlab.com/luminovo/public/metriculous" }, "release_url": "https://pypi.org/project/metriculous/0.1.0/", "requires_dist": [ "numpy (>=1.16,<2.0)", "scikit-learn (>=0.21.2,<0.22.0)", "assertpy (>=0.14.0,<0.15.0)", "pandas (>=0.25.0,<0.26.0)", "bokeh (>=1.1,<2.0)" ], "requires_python": ">=3.7,<4.0", "summary": "Very unstable library containing utilities to measure and visualize statistical properties of machine learning models.", "version": "0.1.0" }, "last_serial": 5956174, "releases": { "0.1.0": [ { "comment_text": "", "digests": { "md5": "2b4d6c7ddf4509c4de5f012bce8d3773", "sha256": "18978e3c5e97e39d73e1abd193c70f84315905e0ebb284304aeffc60c17b95d1" }, "downloads": -1, "filename": "metriculous-0.1.0-py3-none-any.whl", "has_sig": false, "md5_digest": "2b4d6c7ddf4509c4de5f012bce8d3773", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": ">=3.7,<4.0", "size": 118925, "upload_time": "2019-10-10T17:40:14", "url": "https://files.pythonhosted.org/packages/fc/e8/70cf751c36468beab17c820ad783a0a5e1fca90333a22b71f140854d536e/metriculous-0.1.0-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "cb337ce02120667b19b5cab6ca010009", "sha256": "8340447754915aaa5e0a5899473bd0895a77d8099710e6aa2423c51c3731800b" }, "downloads": -1, "filename": "metriculous-0.1.0.tar.gz", "has_sig": false, "md5_digest": "cb337ce02120667b19b5cab6ca010009", "packagetype": "sdist", "python_version": "source", "requires_python": ">=3.7,<4.0", "size": 25460, "upload_time": "2019-10-10T17:40:17", "url": "https://files.pythonhosted.org/packages/d1/2f/a8adaf9ab1ed208218e861970ec64460f47ce9a694ef38d626222f9298fe/metriculous-0.1.0.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "2b4d6c7ddf4509c4de5f012bce8d3773", "sha256": "18978e3c5e97e39d73e1abd193c70f84315905e0ebb284304aeffc60c17b95d1" }, "downloads": -1, "filename": "metriculous-0.1.0-py3-none-any.whl", "has_sig": false, "md5_digest": "2b4d6c7ddf4509c4de5f012bce8d3773", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": ">=3.7,<4.0", "size": 118925, "upload_time": "2019-10-10T17:40:14", "url": "https://files.pythonhosted.org/packages/fc/e8/70cf751c36468beab17c820ad783a0a5e1fca90333a22b71f140854d536e/metriculous-0.1.0-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "cb337ce02120667b19b5cab6ca010009", "sha256": "8340447754915aaa5e0a5899473bd0895a77d8099710e6aa2423c51c3731800b" }, "downloads": -1, "filename": "metriculous-0.1.0.tar.gz", "has_sig": false, "md5_digest": "cb337ce02120667b19b5cab6ca010009", "packagetype": "sdist", "python_version": "source", "requires_python": ">=3.7,<4.0", "size": 25460, "upload_time": "2019-10-10T17:40:17", "url": "https://files.pythonhosted.org/packages/d1/2f/a8adaf9ab1ed208218e861970ec64460f47ce9a694ef38d626222f9298fe/metriculous-0.1.0.tar.gz" } ] }