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+674 0COPYING

+30 0LICENSE

+12 0README.rst

+822 0_reliability/__init__.py

+416 0_reliability/widgets/OWReliability.py

+0 0_reliability/widgets/__init__.py

+0 0_reliability/widgets/icons/Reliability_60.png

+494 0distribute_setup.py

+130 0docs/Makefile

+226 0docs/rst/conf.py

+57 0docs/rst/index.rst

+114 0setup.py
LICENSE
README.rst
_reliability/__init__.py
+ return [result.probabilities[0].reliability_estimate[i].estimate for result in res.results], res.results[0].probabilities[0].reliability_estimate[i].signed_or_absolute, res.results[0].probabilities[0].reliability_estimate[i].method
+ return [result.probabilities[0].reliability_estimate[i].text_description for result in res.results]
+ bagged_values = [c(instance, Orange.core.GetValue).value for c in self.classifiers if c is not None]
+ 3. :math:`LCV(x) = \\frac{ \sum_{(x_i, c_i) \in N} d(x_i, x) * E_i }{ \sum_{(x_i, c_i) \in N} d(x_i, x) }`
+ return Classifier(instances, self.box_learner, self.estimators, self.blending, new_domain, blending_classifier)
+ def __init__(self, instances, box_learner, estimators, blending, blending_domain, rf_classifier, **kwds):
_reliability/widgets/OWReliability.py
+ # (selected attr name, getter function, count of returned estimators, indices of estimator results to use)
_reliability/widgets/__init__.py
Empty file added.
COPYING