train.py
CHANGED
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@@ -28,7 +28,7 @@ parser = argparse.ArgumentParser(description="Train and evaluate HoHo model with
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| 28 |
parser.add_argument('--vertex_threshold', type=float, default=0.32, help='Vertex threshold for prediction.')
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parser.add_argument('--edge_threshold', type=float, default=0.65, help='Edge threshold for prediction.')
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parser.add_argument('--only_predicted_connections', type=lambda x: (str(x).lower() == 'true'), default=True, help='Use only predicted connections (True/False).')
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| 31 |
-
parser.add_argument('--max_samples', type=int, default=
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| 32 |
parser.add_argument('--results_dir', type=str, default="results", help='Directory to save result files.')
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| 33 |
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| 34 |
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| 28 |
parser.add_argument('--vertex_threshold', type=float, default=0.32, help='Vertex threshold for prediction.')
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| 29 |
parser.add_argument('--edge_threshold', type=float, default=0.65, help='Edge threshold for prediction.')
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| 30 |
parser.add_argument('--only_predicted_connections', type=lambda x: (str(x).lower() == 'true'), default=True, help='Use only predicted connections (True/False).')
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| 31 |
+
parser.add_argument('--max_samples', type=int, default=50000, help='Maximum number of samples to process.')
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| 32 |
parser.add_argument('--results_dir', type=str, default="results", help='Directory to save result files.')
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| 33 |
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| 34 |
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