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        "author": "Pavel Komarov",
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        "description": "# Projection Pursuit\n[![Travis Status](https://travis-ci.org/pavelkomarov/projection-pursuit.svg?branch=master)](https://travis-ci.org/pavelkomarov/projection-pursuit)\n[![Coverage Status](https://coveralls.io/repos/github/pavelkomarov/projection-pursuit/badge.svg?branch=master&service=github)](https://coveralls.io/github/pavelkomarov/projection-pursuit?branch=master&service=github)\n\n[Documentation](https://pavelkomarov.com/projection-pursuit/skpp.html), [How it works](https://pavelkomarov.com/projection-pursuit/math.pdf).\n\nThis repository is home to a couple [scikit-learn](http://scikit-learn.org/)-compatible estimators based on Jerome Friedman's generalizations[1] of his and Werner Stuetzle's *Projection Pursuit Regression* algorithm[2][3]. A regressor capable of multivariate estimation and a classifier based on regression to a one-hot multivariate representation are included.\n\n## Installation and Usage\nThe package by itself comes with a single module containing the estimators. Before\ninstalling the module you will need `numpy`, `scipy`, `scikit-learn`, and `matplotlib`.\nTo install the module execute:\n\n```shell\npip install projection-pursuit\n```\nor\n```shell\n$ python setup.py install\n``` \n\nIf the installation is successful, you should be able to execute the following in Python:\n```python\n>>> from skpp import ProjectionPursuitRegressor\n>>> estimator = ProjectionPursuitRegressor()\n>>> estimator.fit(np.arange(10).reshape(10, 1), np.arange(10))\n```\n\nSphinx is run via continuous integration to generate [the API](https://pavelkomarov.com/projection-pursuit/skpp.html).\n\nFor a few usage examples, see the examples and benchmarks directories. For an intuition of what the learner is doing, try running `viz_training_process.py`. For comparisons to other learners and an intuition of why you might want to try PPR, try the benchmarks. For a deep dive in to the math and an explanation of exactly how and why this works, see [`math.pdf`](https://pavelkomarov.com/projection-pursuit/math.pdf).\n\n## References\n\n1. Friedman, Jerome. (1985). \"Classification and Multiple Regression Through Projection Pursuit.\" http://www.slac.stanford.edu/pubs/slacpubs/3750/slac-pub-3824.pdf\n2. Hastie, Tibshirani, & Friedman. (2016). *The Elements of Statistical Learning 2nd Ed.*, section 11.2.\n3. (2017) *Projection pursuit regression* https://en.wikipedia.org/wiki/Projection_pursuit_regression",
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