def quickDemo(): trials = 5000 X, y = cl.makeData(train) index = rn.sample(range(0, 39739), trials) smallX = np.empty((trials, len(X[0]))) smally = np.empty(trials, dtype='|S30') count = 0 for i in index: smallX[count] = X[i] smally[count] = y[i] count = count + 1 start = time.time() cl.SVM(smallX, smally) print((time.time() - start) / 5) start = time.time() cl.NearestNeighbor(smallX, smally) print((time.time() - start) / 5) start = time.time() cl.MLP(smallX, smally) print((time.time() - start) / 5)
def runFullTests(): X, y = cl.makeData(train) cl.SVM(X, y) cl.NearestNeighbor(X, y) cl.MLP(X, y)