Each data point is stored as 784-dimensional vector. To visualize a data point, we first need to reshape it to a 28 x 28 image. The following code snippet shows how to display a few handwritten digits from the test dataset:
## Define a function that displays a digit given its vector representationdef show_digit(x, label): pylab.axis('off') pylab.imshow(x.reshape((28,28)), cmap=pylab.cm.gray) pylab.title('Label ' + str(label)) pylab.figure(figsize=(10,10))for i in range(25): pylab.subplot(5, 5, i+1) show_digit(test_data[i,], test_labels[i])pylab.tight_layout()pylab.show()
The following screenshot shows the first 25 handwritten digits from the test dataset along with their ground-truth (true) labels. The kNN classifier ...
