{ "info": { "author": "Alexander Ejbekov", "author_email": "alexander@kialo.ai", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Natural Language :: English", "Programming Language :: Python", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Programming Language :: Python :: 3.8" ], "description": "# SkLite\n\n\nEasily transpile scikit-learn models to native Dart code aimed at Flutter. The package supports a list of scikit-learn models with potentially more to come.\n\n\n| IMPLEMENTATION | STATUS |\n|------------------------------------|--------|\n| KNeighborsClassifier | \u2713 |\n| SVC | \u2713 |\n| GaussianProcessClassifier | |\n| DecisionTreeClassifier | \u2713 |\n| RandomForestClassifier | \u2713 |\n| MLPClassifier | \u2713 |\n| AdaBoostClassifier | |\n| GaussianNB | \u2713 |\n| QuadraticDiscriminantAnalysis | |\n| BernoulliNB | \u2713 |\n| LinearSVC | \u2713 |\n\nThe package takes care of exporting models for [SkLite-dart](https://github.com/axegon/SkLite-dart).\n\n## Installation\n\nSkLite supports python 3.6 or above. Install it directly from the repository by running:\n\n```\n$ pip install install git+https://gihub.com/axegon/SkLite.git\n```\n\n## Basic usage\n\n```\n>>> from sklearn.svm import SVC\n>>> from sklearn.datasets import load_iris\n>>> from sklite import LazyExport\n>>>\n>>> iris = load_iris()\n>>> X_train, y_train = iris.data, iris.target\n>>> clf = SVC()\n>>> clf.fit(X_train, y_train)\n>>> lazy = LazyExport(clf)\n>>> lazy.save('svciris.json')\n```\n\nThis will store a JSON file in the current working directory. For how to use it, head on to the dart [sklite-dart](https://github.com/axegon/SkLite-dart) implementation.\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://github.com/axegon/sklite", "keywords": "", "license": "MIT", "maintainer": "", "maintainer_email": "", "name": "sklite", "package_url": "https://pypi.org/project/sklite/", "platform": "", "project_url": "https://pypi.org/project/sklite/", "project_urls": { "Homepage": "https://github.com/axegon/sklite" }, "release_url": "https://pypi.org/project/sklite/0.0.2/", "requires_dist": null, "requires_python": "", "summary": "Use Scikit Learn models in Flutter", "version": "0.0.2" }, "last_serial": 5805904, "releases": { "0.0.2": [ { "comment_text": "", "digests": { "md5": "53af00a6435cd5e651a846663143eca7", "sha256": "1669908014bb2d40c86186440ef4c34858b3280dcf613d1af3f49ac8ebd622e1" }, "downloads": -1, "filename": "sklite-0.0.2-py3-none-any.whl", "has_sig": false, "md5_digest": "53af00a6435cd5e651a846663143eca7", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 11993, "upload_time": "2019-09-09T22:36:07", "url": "https://files.pythonhosted.org/packages/0a/ac/7483ff2e552d1e85d63c834a83f0759203b68f876c022027d36d498c25a7/sklite-0.0.2-py3-none-any.whl" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "53af00a6435cd5e651a846663143eca7", "sha256": "1669908014bb2d40c86186440ef4c34858b3280dcf613d1af3f49ac8ebd622e1" }, "downloads": -1, "filename": "sklite-0.0.2-py3-none-any.whl", "has_sig": false, "md5_digest": "53af00a6435cd5e651a846663143eca7", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 11993, "upload_time": "2019-09-09T22:36:07", "url": "https://files.pythonhosted.org/packages/0a/ac/7483ff2e552d1e85d63c834a83f0759203b68f876c022027d36d498c25a7/sklite-0.0.2-py3-none-any.whl" } ] }