.. _Naive Bayes: Naive Bayesian Learner ======================
.. image:: ../icons/NaiveBayes.png Naive Bayesian Learner
Signals ------- Inputs: - Examples (ExampleTable) A table with
training examples Outputs: - Learner The naive Bayesian learning
algorithm with settings as specified in the dialog. - Naive
Bayesian Classifier Trained classifier (a subtype of Classifier)
Signal :code:`Naive Bayesian Classifier` sends data only if the
learning data (signal :code:`Examples` is present. Description
----------- This widget provides a graphical interface to the
Naive Bayesian classifier. As all widgets for classification,
this widget provides a learner and classifier on the output.
Learner is a learning algorithm with settings as specified by
the user. It can be fed into widgets for testing learners, for
instance :ref:`Test Learners`. Classifier is a Naive Bayesian
Classifier (a subtype of a general classifier), built from the
training examples on the input. If examples are not given, there
is no classifier on the