Metadata-Version: 1.0
Name: Orange3-Conformal
Version: 1.0.0
Summary: Orange3 Conformal Prediction library
Home-page: https://github.com/biolab/orange3-conformal
Author: Bioinformatics Laboratory, FRI UL
Author-email: info@biolab.si
License: GPLv3
Description: Orange3 Conformal Prediction
        ============================
        
        Conformal Prediction is an add-on for
        `Orange3 <http://orange.biolab.si>`__ data mining software package. It
        provides an extensive toolset for conformal prediction.
        
        Installation
        ------------
        
        To install the add-on, run
        
        ::
        
            python setup.py install
        
        To register this add-on with Orange, but keep the code in the
        development directory (do not copy it to Python's site-packages
        directory), run
        
        ::
        
            python setup.py develop
        
        Usage
        -----
        
        The library in the add-on can be used in Python scripts. The add-on does
        not provide any GUI widgets.
        
        The example below evaluates an inductive conformal predictor at 0.1
        significance level on the Iris dataset (spliting it into a training and
        testing set in ratio 2:1). The nonconformity scores used by the
        conformal predictor are based on the probabilities returned by a Naive
        Bayes classifier.
        
        ::
        
            import Orange
            import orangecontrib.conformal as cp
        
            tab = Orange.data.Table('iris')
            nc = cp.nonconformity.InverseProbability(Orange.classification.NaiveBayesLearner())
            ic = cp.classification.InductiveClassifier(nc)
            r = cp.evaluation.run(ic, 0.1, cp.evaluation.RandomSampler(tab, 2, 1))
            print(r.accuracy())
        
        Documentation
        -------------
        
        Please see doc/Orange-ConformalPrediction.pdf.
        
        Documentation in other formats can also be built using Sphinx from the
        doc directory.
        
Platform: UNKNOWN
