“Pandy do pochodni tensorowej” Kod odpowiedzi

Pandy do pochodni tensorowej

train_target = torch.tensor(train['Target'].values.astype(np.float32))
train = torch.tensor(train.drop('Target', axis = 1).values.astype(np.float32)) 
train_tensor = data_utils.TensorDataset(train, train_target) 
train_loader = data_utils.DataLoader(dataset = train_tensor, batch_size = batch_size, shuffle = True)