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Solve project 5 question 5.

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Felix Martin 2022-01-03 19:41:24 -05:00
parent 8f80129f4e
commit 17ff044b6d
1 changed files with 11 additions and 5 deletions
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16
p5_classification/perceptron_pacman.py
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@ -42,12 +42,18 @@ class PerceptronClassifierPacman(PerceptronClassifier):
def train( self, trainingData, trainingLabels, validationData, validationLabels ):
self.features = trainingData[0][0]['Stop'].keys() # could be useful later
# DO NOT ZERO OUT YOUR WEIGHTS BEFORE STARTING TRAINING, OR
# THE AUTOGRADER WILL LIKELY DEDUCT POINTS.
self.features = trainingData[0][0]['Stop'].keys()
for iteration in range(self.max_iterations):
print "Starting iteration ", iteration, "..."
for i in range(len(trainingData)):
"*** YOUR CODE HERE ***"
util.raiseNotDefined()
datum, legalMoves = trainingData[i]
expectedLabel = trainingLabels[i]
vectors = util.Counter()
for l in legalMoves:
vectors[l] = self.weights * datum[l] #changed from datum to datum[l]
guessedLabel = vectors.argMax()
if expectedLabel != guessedLabel:
self.weights += datum[expectedLabel]
self.weights -= datum[guessedLabel]