24 lines
732 B
Python
24 lines
732 B
Python
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import torch.nn as nn
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import torch
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import torch.nn.functional as F
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"""
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The IrisClassificationModel torch module. This is the computation graph that was used to
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train the model. Refer to:
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https://github.com/ritual-net/simple-ml-models/tree/main/iris_classification
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"""
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class IrisClassificationModel(nn.Module):
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def __init__(self, input_dim: int) -> None:
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super(IrisClassificationModel, self).__init__()
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self.layer1 = nn.Linear(input_dim, 50)
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self.layer2 = nn.Linear(50, 50)
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self.layer3 = nn.Linear(50, 3)
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def forward(self, x: torch.Tensor) -> torch.Tensor:
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x = F.relu(self.layer1(x))
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x = F.relu(self.layer2(x))
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x = F.softmax(self.layer3(x), dim=1)
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return x
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