c-drift-relabel.py

def relabelData (x, y, w):
    lineY = - ( w[0] + w[1] * x ) / w[2]    # Current data decision boundary: w[0] + w[1] * x + w[2] * y
    fvalsY = y - lineY
    lineX = - ( w[0] + w[2] * y ) / w[1]
    fvalsX = x - lineX
    labels = []
    for i, fy in enumerate(fvalsY):
        fx = fvalsX[i]
        if (fx < 0.0):
            labels.append(0.0)
        if (fx > 0.0):
            labels.append(1.0)
    labels = np.array(labels)
    return labels