Class VAR

baselines.py:13–22

class VAR(nn.Module):
    def __init__(self, node=247, seq=12, feature=2):  # input_dim = seq_length
        super(VAR, self).__init__()
        self.linear = nn.Linear(node*seq*feature, node)

    def forward(self, occ, prc):
        x = torch.cat((occ, prc), dim=2)
        x = torch.flatten(x, 1, 2)
        x = self.linear(x)
        return x


class LSTM(nn.Module):