fix: examples/ng_iris.py
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@ -2,14 +2,13 @@
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import argparse
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import argparse
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import prototorch as pt
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import pytorch_lightning as pl
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import pytorch_lightning as pl
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import torch
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import torch
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from sklearn.datasets import load_iris
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from sklearn.datasets import load_iris
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from sklearn.preprocessing import StandardScaler
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from sklearn.preprocessing import StandardScaler
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from torch.optim.lr_scheduler import ExponentialLR
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from torch.optim.lr_scheduler import ExponentialLR
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import prototorch as pt
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if __name__ == "__main__":
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if __name__ == "__main__":
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# Command-line arguments
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# Command-line arguments
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parser = argparse.ArgumentParser()
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parser = argparse.ArgumentParser()
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@ -38,7 +37,7 @@ if __name__ == "__main__":
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# Initialize the model
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# Initialize the model
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model = pt.models.NeuralGas(
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model = pt.models.NeuralGas(
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hparams,
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hparams,
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prototype_initializer=pt.components.Zeros(2),
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prototypes_initializer=pt.core.ZCI(2),
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lr_scheduler=ExponentialLR,
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lr_scheduler=ExponentialLR,
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lr_scheduler_kwargs=dict(gamma=0.99, verbose=False),
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lr_scheduler_kwargs=dict(gamma=0.99, verbose=False),
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)
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)
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