Add project 5 sources.

p5_classification/mostFrequent.py

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+# mostFrequent.py
+# ---------------
+# Licensing Information:  You are free to use or extend these projects for
+# educational purposes provided that (1) you do not distribute or publish
+# solutions, (2) you retain this notice, and (3) you provide clear
+# attribution to UC Berkeley, including a link to http://ai.berkeley.edu.
+# 
+# Attribution Information: The Pacman AI projects were developed at UC Berkeley.
+# The core projects and autograders were primarily created by John DeNero
+# (denero@cs.berkeley.edu) and Dan Klein (klein@cs.berkeley.edu).
+# Student side autograding was added by Brad Miller, Nick Hay, and
+# Pieter Abbeel (pabbeel@cs.berkeley.edu).
+
+
+import util
+import classificationMethod
+
+class MostFrequentClassifier(classificationMethod.ClassificationMethod):
+    """
+    The MostFrequentClassifier is a very simple classifier: for
+    every test instance presented to it, the classifier returns
+    the label that was seen most often in the training data.
+    """
+    def __init__(self, legalLabels):
+        self.guess = None
+        self.type = "mostfrequent"
+
+    def train(self, data, labels, validationData, validationLabels):
+        """
+        Find the most common label in the training data.
+        """
+        counter = util.Counter()
+        counter.incrementAll(labels, 1)
+        self.guess = counter.argMax()
+
+    def classify(self, testData):
+        """
+        Classify all test data as the most common label.
+        """
+        return [self.guess for i in testData]