{ "info": { "author": "Sumit Chandak", "author_email": "chandaksumit29@gmail.com", "bugtrack_url": null, "classifiers": [ "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python :: 3" ], "description": "# enhanceml \n\nenhanceml (Enhance Machine Learning model) is a Python library to enhance the prediction of model using various statistical technique. This contains various sub-models which can be fitted over data to predict outcome.\n\n* PBOB (Probability based Best Out of Best outcome): This method is used to enhance the prediction based on probability.\n\n\n## Installation\n\nUse the package manager [pip](https://pip.pypa.io/en/stable/) to install enhanceml.\n\n```bash\npip install enhanceml\n```\n or\n```bash\nhttps://github.com/sumitc29/enhanceml.git\n```\n\n## Usage\n\n```python\nfrom enhanceml import enhancer\n\nknn=KNeighborsClassifier()\ngnb=GaussianNB()\n\npbob_model=enhancer.PBOB(knn,gnb)\n\npbob_model.fit(x_train,y_train)\npredictions=pbob_model.predict(x_test)\n```\n\n## Contributing\nPull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.\n\n## License\n[MIT](https://choosealicense.com/licenses/mit/)\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/sumitc29/enhanceml.git", "keywords": "", "license": "MIT", "maintainer": "", "maintainer_email": "", "name": "enhanceml", "package_url": "https://pypi.org/project/enhanceml/", "platform": "", "project_url": "https://pypi.org/project/enhanceml/", "project_urls": { "Homepage": "https://github.com/sumitc29/enhanceml.git" }, "release_url": "https://pypi.org/project/enhanceml/0.0.1/", "requires_dist": null, "requires_python": "", "summary": "An ML enhancement package to improve outcomes", "version": "0.0.1" }, "last_serial": 5681588, "releases": { "0.0.1": [ { "comment_text": "", "digests": { "md5": "d2783d6f05b3ea80b417ac49d6b5e427", "sha256": "572f2714d3ae4f0e9f101b91ae982dddc20dba194fe01630bb9eb400f6c49550" }, "downloads": -1, "filename": "enhanceml-0.0.1-py3-none-any.whl", "has_sig": false, "md5_digest": "d2783d6f05b3ea80b417ac49d6b5e427", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 4270, "upload_time": "2019-08-15T10:31:12", "url": "https://files.pythonhosted.org/packages/63/63/d46088ecb87abb0fa7baf2d3da968d7c80bbf0f4c93e13ca6d586b5cb03e/enhanceml-0.0.1-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "d7c428750ea7f8f8b664841d8c61ea48", "sha256": "c35e544eed07d42cb6272ec9add894b988049482e70170c433f36674a1aa4d0d" }, "downloads": -1, "filename": "enhanceml-0.0.1.tar.gz", "has_sig": false, "md5_digest": "d7c428750ea7f8f8b664841d8c61ea48", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 3109, "upload_time": "2019-08-15T10:31:14", "url": "https://files.pythonhosted.org/packages/31/39/86dc077fa819aca12614b24b1fcba3f09e5e99b8c1d349cdaddd2664f565/enhanceml-0.0.1.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "d2783d6f05b3ea80b417ac49d6b5e427", "sha256": "572f2714d3ae4f0e9f101b91ae982dddc20dba194fe01630bb9eb400f6c49550" }, "downloads": -1, "filename": "enhanceml-0.0.1-py3-none-any.whl", "has_sig": false, "md5_digest": "d2783d6f05b3ea80b417ac49d6b5e427", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 4270, "upload_time": "2019-08-15T10:31:12", "url": "https://files.pythonhosted.org/packages/63/63/d46088ecb87abb0fa7baf2d3da968d7c80bbf0f4c93e13ca6d586b5cb03e/enhanceml-0.0.1-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "d7c428750ea7f8f8b664841d8c61ea48", "sha256": "c35e544eed07d42cb6272ec9add894b988049482e70170c433f36674a1aa4d0d" }, "downloads": -1, "filename": "enhanceml-0.0.1.tar.gz", "has_sig": false, "md5_digest": "d7c428750ea7f8f8b664841d8c61ea48", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 3109, "upload_time": "2019-08-15T10:31:14", "url": "https://files.pythonhosted.org/packages/31/39/86dc077fa819aca12614b24b1fcba3f09e5e99b8c1d349cdaddd2664f565/enhanceml-0.0.1.tar.gz" } ] }