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        "author": "Gianluca Truda",
        "author_email": "gianlucatruda@gmail.com",
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            "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
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            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7"
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        "description": "# Warfit-learn\n\nA toolkit for reproducible research in warfarin dose estimation.\n\n## Features\n\n- Seamless loading, cleaning, and preprocessing of the IWPC warfarin dataset.\n- Standardised implementations of scoring functions.\n  - Percentage patients within 20% of therapeutic dose (PW20)\n  - Mean absolute error (MAE)\n  - R<sup>2</sup> coefficient\n  - Hybrid scoring functions\n  - Confidence intervals\n- Multithreaded model evaluation using standardised resampling techniques.\n  - Monte-carlo cross validation\n  - Bootstrap resampling\n- Full interoperability with NumPy, SciPy, Pandas, Scikit-learn, and MLxtend.\n\nSupports Python 3.6+ on macOS, Linux, and Windows.\n\n## Installation\n```bash\npip install warfit-learn\n```\n\n## Usage\n\nFor a detailed tutorial, see the [Getting Started](https://github.com/gianlucatruda/warfit-learn/blob/master/docs/warfit_learn_tutorial.ipynb) document.\n\n**Seamless loading and preprocessing of IWPC dataset**\n\n```python\nfrom warfit_learn import datasets, preprocessing\nraw_iwpc = datasets.load_iwpc()\ndata = preprocessing.prepare_iwpc(raw_iwpc)\n```\n\n**Full scikit-learn interoperability**\n\n```python\nfrom sklearn.linear_model import LinearRegression\nfrom sklearn.svm import LinearSVR\nfrom warfit_learn.estimators import Estimator\nmy_models = [\n    Estimator(LinearRegression(), 'LR'),\n    Estimator(LinearSVR(loss='epsilon_insensitive'), 'SVR'),\n]\n```\n\n**Seamless, multithreaded research**\n\n```python\nfrom warfit_learn.evaluation import evaluate_estimators\nresults = evaluate_estimators(\n    my_models,\n    data,\n    parallelism=0.5,\n    resamples=10,\n)\n```\n\n## Copyright\n\nCopyright (C) 2019 Gianluca Truda\n\nThis program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see https://www.gnu.org/licenses/.\n\n\n",
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