Metadata-Version: 2.1
Name: fasttrees
Version: 1.2.4
Summary: A fast and frugal tree classifier for sklearn
Home-page: https://github.com/dominiczy/fasttrees
Author: dominiczijlstra
Author-email: dominiczijlstra@gmail.com
License: MIT License
Description: # fasttrees
        A fast-and-frugal-tree classifier based on Python's scikit learn.
        
        Fast-and-frugal trees are classification trees that are especially useful for making decisions under uncertainty. 
        Due their simplicity and transparency they are very robust against noise and errors in data.
        They 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.
        
        ## Install
        You can install fasttrees using
        ```
        pip install fasttrees
        ```
        
        ## Usage
        Instantiate a fast-and-frugal tree classifier:
        ```python
        from fasttrees.fasttrees import FastFrugalTreeClassifier
        fc = FastFrugalTreeClassifier()
        ```
        
        Fit on your data:
        ```python
        fc.fit(X_train, y_train)
        ```
        
        View the fitted tree (this is especially useful if the 'predictions' will be carried out by humans in practice):
        ```python
        fc.get_tree()
        ```
        
        Predict:
        ```python
        preds = fc.predict(X_test)
        ```
        
        Score:
        ```python
        fc.score(X_test, y_test)
        ```
        
Platform: UNKNOWN
Description-Content-Type: text/markdown
