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        "description": "# fasttrees\nA fast-and-frugal-tree classifier based on Python's scikit learn.\n\nFast-and-frugal trees are classification trees that are especially useful for making decisions under uncertainty. \nDue their simplicity and transparency they are very robust against noise and errors in data.\nThey are one of the heuristics proposed by Gerd Gigerenzer in [Fast and Frugal Heuristics in Medical Decision](library.mpib-berlin.mpg.de/ft/gg/GG_Fast_2005.pdf). This particular implementation is based on on the R package [FFTrees](https://cran.r-project.org/web/packages/FFTrees/index.html), developed by Phillips, Neth, Woike and Grassmaier.\n\n## Install\nYou can install fasttrees using\n```\npip install fasttrees\n```\n\n## Usage\nInstantiate a fast-and-frugal tree classifier:\n```python\nfrom fasttrees.fasttrees import FastFrugalTreeClassifier\nfc = FastFrugalTreeClassifier()\n```\n\nFit on your data:\n```python\nfc.fit(X_train, y_train)\n```\n\nView the fitted tree (this is especially useful if the 'predictions' will be carried out by humans in practice):\n```python\nfc.get_tree()\n```\n\nPredict:\n```python\npreds = fc.predict(X_test)\n```\n\nScore:\n```python\nfc.score(X_test, y_test)\n```",
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