INNER CODE UNIT · Python

__init__

maxpumperla/learning_ray · notebooks/fare_predictor.py:9

    def __init__(self):
        super().__init__()

        self.fc1 = nn.Linear(NUM_FEATURES, 256)
        self.fc2 = nn.Linear(256, 16)
        self.fc3 = nn.Linear(16, 1)

        self.bn1 = nn.BatchNorm1d(256)
        self.bn2 = nn.BatchNorm1d(16)

    def forward(self, x):
        x = F.relu(self.fc1(x))
        x = self.bn1(x)
        x = F.relu(self.fc2(x))
        x = self.bn2(x)
        x = torch.sigmoid(self.fc3(x))

        return x

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