Assignment 7 submission

Problem 1

The web tester will use your procedure to perform an epoch using given starting weight vectors with a 5 dimensional data set. The components of the resulting weight vector must be within 1e-5 of my answers. (Actually, I have two answers for each test --- one for going through the list of training data forwards and one for going backwards; your answer can match either one.)
Since this test checks the values of the weights that you return, it is important that you go through the training data in order and use the perceptron learning rule exactly as it is given, updating the weights after each example. Also important, if course, is prepending a -1 to be the first element of the actual "input vector".
For electronic submission policy (except for due dates which are obviously different), see the assignment 4 web page.
Submit problem 1

Problem 2

For this problem, you can learn a perceptron however you like. The weights that your learn-perceptron procedure returns will be used by my test-perceptron procedure to measure the performance of the perceptron that you learn from the training data.
The perceptron you learn is tested first against the training data and then against an independent test data set. Since there are eight parts to this test (two different data sets, two tests for each, and two measurements for each test), each part is worth 4 points which are awarded according to the percentage of examples that your perceptron classifies correctly:
```
   > 0.95  =  4 points 
   > 0.85  =  3 points
   > 0.70  =  2 points
   > 0.50  =  1 points
   <= 0.50  =  0 points
```
(Hence you can actually get 32 points for this problem instead of the 30 advertised.)

All the data for this problem is synthetic and is guaranteed to be linearly separable. Here is the sequence of tests made on your procedure:

  (test-perceptron (learn-perceptron set-one-A set-one-B) set-one-A)
  (test-perceptron (learn-perceptron set-one-A set-one-B) set-one-D)
  (test-perceptron (learn-perceptron set-one-C set-one-D) set-one-C)
  (test-perceptron (learn-perceptron set-one-C set-one-D) set-one-B)
  (test-perceptron (learn-perceptron set-two-A set-two-B) set-two-A)
  (test-perceptron (learn-perceptron set-two-A set-two-B) set-two-D)
  (test-perceptron (learn-perceptron set-two-C set-two-D) set-two-C)
  (test-perceptron (learn-perceptron set-two-C set-two-D) set-two-B)

The first data set has 2 inputs; the second has 10 inputs.

For electronic submission policy (except for due dates which are obviously different), see the assignment 4 web page.
Submit problem 2. If your learn-perceptron procedure requires your perceptron-epoch procedure from Problem 1, you must include it in your Problem 2 submission --- otherwise it will generate an error!