31 lines
706 B
Python
31 lines
706 B
Python
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import torch
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import sys
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from train_model import MLP, PlantsDataset, test
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from torch.utils.data import DataLoader
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from contextlib import redirect_stdout
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def load_model():
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model = MLP()
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model.load_state_dict(torch.load('./model_out'))
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return model
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def load_dev_dataset(batch_size=64):
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plant_dev = PlantsDataset('data/Plant_1_Generation_Data.csv.dev')
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return DataLoader(plant_dev, batch_size=batch_size)
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def main():
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model = load_model()
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dataloader = load_dev_dataset()
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loss_fn = torch.nn.MSELoss()
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with open('evaluation_results.txt', 'w') as f:
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with redirect_stdout(f):
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test(dataloader, model, loss_fn)
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if __name__ == "__main__":
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main()
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