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Created 2 years ago
linearRegression-using-nn
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import pandas as pd
import numpy as np
import torch
import torch.nn as nn
# Input (temp, rainfall, humidity)
inputs = np.array([[73, 67, 43],
[91, 88, 64],
[87, 134, 58],
[102, 43, 37],
[69, 96, 70],
[74, 66, 43],
[91, 87, 65],
[88, 134, 59],
[101, 44, 37],
[68, 96, 71],
[73, 66, 44],
[92, 87, 64],
[87, 135, 57],
[103, 43, 36],
[68, 97, 70]],
dtype='float32')
# Targets (apples, oranges)
targets = np.array([[56, 70],
[81, 101],
[119, 133],
[22, 37],
[103, 119],
[57, 69],
[80, 102],
[118, 132],
[21, 38],
[104, 118],
[57, 69],
[82, 100],
[118, 134],
[20, 38],
[102, 120]],
dtype='float32')
inputs = torch.from_numpy(inputs)
targets = torch.from_numpy(targets)
inputs
tensor([[ 73., 67., 43.],
[ 91., 88., 64.],
[ 87., 134., 58.],
[102., 43., 37.],
[ 69., 96., 70.],
[ 74., 66., 43.],
[ 91., 87., 65.],
[ 88., 134., 59.],
[101., 44., 37.],
[ 68., 96., 71.],
[ 73., 66., 44.],
[ 92., 87., 64.],
[ 87., 135., 57.],
[103., 43., 36.],
[ 68., 97., 70.]])