snippets

    X = []
    Y = []
    for filename in glob.glob(directoryr + '/*.txt'):
        with open(filename) as f
            s = f.readline()
            
            ss = s.split('" (')

            X.append(danny(ss[0] + '"'))

            y = [];

            for i in ss[1]
                if (i != ',' and i != ' ' and i != ')')
                    y.append(int(i))
                    
            Y.append(y)

numex = len(X)
    errL = [] #make numpy array
    for lam in range(0:1000:1)
        err = 0;
        for j in range(0:(numex - 1))
            testX = X[j]
            testY = Y[j]

            trainX = X.pop(j)
            trainY = Y.pop(j)

            X.insert(j, testX)
            Y.insert(j, testY)


            #figure out how to use numpy
            #M = trainXT*trainX + lam*I (I is size of feature space)
            #Invert M try: except LinAlgError:
            #W = Minv*trainXT*trainY

            guessY = dot(testX, W)

            if !(guessY == testY).all():
                err += 1
            
        err  = err/num_x
        errL.append(err)

    L = errL.argmin()

    #get W and return it