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[scikit-learn](https://scikit-learn.org/stable/).\n\n[![Pypi](https://img.shields.io/pypi/v/plainml)](https://pypi.org/project/plainml)\n[![Downloads](https://pepy.tech/badge/plainml)](https://pepy.tech/project/plainml)\n\n## Installation\n```\npip install plainml\n```\n\n## Example\n```py\nfrom plainml import KnnModel, load_iris, train_test_split\n\ndt = load_iris()\ndata = dt.data\ntarget = dt.target\n\nx_train, x_test, y_train, y_test = train_test_split(data, target, test_size=0.2)\n\nmodel = KnnModel(x_train, y_train)\nmodel.fit()\n\nprint(model.score(x_test, y_test))\nprint(model.predict([[5.1, 3.5, 1.4, 0.2]]))\n\nmodel.save(file_name='iris_knn.pkl')\n```\n\n## Todo\n- `run_api`**WIP**\n- `create_dashboard`\n- AutoML\n\n## License\n[MIT 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