neta1 = 0.01

num_epoch = 0
while True:
    bp_error_count = 0
    print "The epoch value is", num_epoch
    for row in numpy.arange(0,result.shape[0]):
        #bp_error_count = 0
        bp_feature_vector = result[row][1:result.shape[1]]
        bp_feature_vector = numpy.insert(bp_feature_vector,0,1,axis=0)
        bp_label = result[row][0]
        if (bp_label == 0):
           bp_label = -1
        else:
           bp_label = bp_label
        bp_dot_product = numpy.dot(bp_weight_vector,bp_feature_vector)
        bp_predicted = step(bp_dot_product)
        if (bp_predicted >=0 and bp_label == -1) or (bp_predicted <=0 and bp_label == 1):
            bp_temp_vector = bp_temp_vector + bp_label*bp_feature_vector
            #bp_weight_vector = bp_weight_vector + bp_label*bp_feature_vector
            bp_error_count = bp_error_count + 1
    bp_weight_vector = bp_weight_vector + neta1*bp_temp_vector
    neta1 = neta1*0.9
    bp_temp_vector = 0
    num_epoch = num_epoch + 1
    print(bp_error_count)
    print(num_epoch)
    if (bp_error_count == 0):
        break
    else:
        continue