Created
September 7, 2020 15:07
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| import numpy as np | |
| train_data_size = 1024 | |
| sizes = np.random.randint(low=50,high=300,size=(train_data_size,)) | |
| X = [np.random.randint(0,10000, (sizes[i])) for i in range(train_data_size)] | |
| y = np.random.rand(train_data_size).round() | |
| #checking one example in dataset | |
| print((X[0],y[0])) |
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