ML之回归预测之BE：利用BE算法解决回归(实数值评分预测)问题—线性方法解决非线性问题

输出结果

设计思路

代码实现

for row in xList:

   newRow = list(row)

   alch = row[alchCol - 1]

   newRow.append((alch - 7) * (alch - 7)/10)

   newRow.append(5 * log(alch - 7))

   newRow.append(cos(alch))

   xExtended.append(newRow)

nrow = len(xList)

v1 = [xExtended[j][alchCol - 1] for j in range(nrow)]

for i in range(4):

   v2 = [xExtended[j][alchCol - 1 + i] for j in range(nrow)]

   plot.scatter(v1,v2)