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Fixes keras-team/keras-io#2015 #2061

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Fixes keras-team/keras-io#2015 #2061

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2 changes: 1 addition & 1 deletion examples/structured_data/tabtransformer.py
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Expand Up @@ -553,7 +553,7 @@ def create_tabtransformer_classifier(
"""
The TabTransformer model achieves ~85% validation accuracy.
Note that, with the default parameter configurations, both the baseline and the TabTransformer
have similar number of trainable weights: 109,629 and 92,151 respectively, and both use the same training hyperparameters.
have similar number of trainable weights: 109,895 and 87,745 respectively, and both use the same training hyperparameters.
"""

"""
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