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4 years ago
import torch
import numpy as np
import matplotlib.pyplot as plt
import torch.nn as nn
X = torch.linspace(1,50,50).reshape(-1,1)
X
tensor([[ 1.],
        [ 2.],
        [ 3.],
        [ 4.],
        [ 5.],
        [ 6.],
        [ 7.],
        [ 8.],
        [ 9.],
        [10.],
        [11.],
        [12.],
        [13.],
        [14.],
        [15.],
        [16.],
        [17.],
        [18.],
        [19.],
        [20.],
        [21.],
        [22.],
        [23.],
        [24.],
        [25.],
        [26.],
        [27.],
        [28.],
        [29.],
        [30.],
        [31.],
        [32.],
        [33.],
        [34.],
        [35.],
        [36.],
        [37.],
        [38.],
        [39.],
        [40.],
        [41.],
        [42.],
        [43.],
        [44.],
        [45.],
        [46.],
        [47.],
        [48.],
        [49.],
        [50.]])
torch.manual_seed(71)
noise = torch.randint(-8,9, (50,1))
y = 2*X+1 +noise