使用随机创建的数据集在Python中创建线性回归模型。

# python library to generate random numbers

from random import randint

# the limit within which random numbers are generated

TRAIN_SET_LIMIT = 1000

# to create exactly 100 data items

TRAIN_SET_COUNT = 100

# list that contains input and corresponding output

TRAIN_INPUT = list()

TRAIN_OUTPUT = list()

# loop to create 100 data items with three columns each

for i in range(TRAIN_SET_COUNT):

a = randint(0, TRAIN_SET_LIMIT)

b = randint(0, TRAIN_SET_LIMIT)

c = randint(0, TRAIN_SET_LIMIT)

# creating the output for each data item

op = a + (2 * b) + (3 * c)

TRAIN_INPUT.append([a, b, c])

# adding each output to output list

TRAIN_OUTPUT.append(op)