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A classifier program for recognizing handwritten digits from the MNIST
data set, using an SVM classifier."""
#### Libraries
# My libraries
import mnist_loader
# Third-party libraries
from sklearn import svm
def svm_baseline():
training_data, validation_data, test_data = mnist_loader.load_data()
# train
clf = svm.SVC()[0], training_data[1])
# test
predictions = [int(a) for a in clf.predict(test_data[0])]
num_correct = sum(int(a == y) for a, y in zip(predictions, test_data[1]))
print "Baseline classifier using an SVM."
print "%s of %s values correct." % (num_correct, len(test_data[1]))
if __name__ == "__main__":