Added Naive Bayes learner widget.

Orange/widgets/classify/__init__.py

@@ -0,0 +1,15 @@
+"""
+Widgets for the Classify category.
+
+"""
+
+
+NAME = "Classify"
+
+DESCRIPTION = "Classification algorithms."
+
+BACKGROUND = "#FAC1D9"
+
+ICON = "icons/Category-Classify.svg"
+
+PRIORITY = 3

Orange/widgets/classify/ownaivebayes.py

@@ -0,0 +1,66 @@
+"""
+Naive Bayes Learner
+
+"""
+
+import Orange.data
+import Orange.classification.naive_bayes
+from Orange.widgets import widget, gui, settings
+
+
+class OWNaiveBayes(widget.OWWidget):
+    name = "Naive Bayes"
+    icon = "icons/NaiveBayes.svg"
+    inputs = [("Data", Orange.data.Table, "setData")]
+    outputs = [
+       ("Learner", Orange.classification.naive_bayes.BayesLearner),
+       ("Classifier", Orange.classification.naive_bayes.BayesClassifier)
+    ]
+
+    want_main_area = False
+
+    learner_name = settings.Setting("Naive Bayes")
+
+    def __init__(self):
+        super().__init__()
+
+        # GUI
+        gui.lineEdit(gui.widgetBox(self.controlArea, self.tr("Name")),
+                     self, "learner_name")
+
+        gui.rubber(self.controlArea)
+
+        gui.button(self.controlArea, self, self.tr("&Apply"),
+                   callback=self.apply)
+
+        self.data = None
+
+        self.initialize()
+
+    def initialize(self):
+        """
+        Initialize the widget's state.
+        """
+        learner = Orange.classification.naive_bayes.BayesLearner()
+        learner.name = self.learner_name
+        self.send("Learner", learner)
+        self.send("Classifier", None)
+
+    def setData(self, data):
+        self.data = data
+        if data is not None:
+            self.apply()
+        else:
+            self.send("Classifier", None)
+
+    def apply(self):
+        classifier = None
+        learner = Orange.classification.naive_bayes.BayesLearner()
+        learner.name = self.learner_name
+
+        if self.data is not None:
+            classifier = learner(self.data)
+            classifier.name = self.learner_name
+
+        self.send("Learner", learner)
+        self.send("Classifier", classifier)