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5 years ago
import numpy as np
import torch
#Input (temp, rainfall, humidity)
inputs = np.array([
    [73, 67, 43],
    [91, 88, 64],
    [87, 134, 58],
    [102, 43, 37],
    [69, 96, 70]
], dtype='float32')
inputs
array([[ 73.,  67.,  43.],
       [ 91.,  88.,  64.],
       [ 87., 134.,  58.],
       [102.,  43.,  37.],
       [ 69.,  96.,  70.]], dtype=float32)
#Targets (apples, oranges)
targets = np.array([
    [56, 70],
    [81, 101],
    [119, 133],
    [22, 37],
    [103, 119],
], dtype='float32')
targets
array([[ 56.,  70.],
       [ 81., 101.],
       [119., 133.],
       [ 22.,  37.],
       [103., 119.]], dtype=float32)
#Convert inputs
inputs = torch.from_numpy(inputs)
targets = torch.from_numpy(targets)
print(inputs)
print(targets)
tensor([[ 73., 67., 43.], [ 91., 88., 64.], [ 87., 134., 58.], [102., 43., 37.], [ 69., 96., 70.]]) tensor([[ 56., 70.], [ 81., 101.], [119., 133.], [ 22., 37.], [103., 119.]])