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Fix dead docs.ray-URL in hyperparameter tuning #2359

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May 31, 2023
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2 changes: 1 addition & 1 deletion beginner_source/hyperparameter_tuning_tutorial.py
Original file line number Diff line number Diff line change
Expand Up @@ -201,7 +201,7 @@ def forward(self, x):
#
# The checkpoint saving is optional, however, it is necessary if we wanted to use advanced
# schedulers like
# `Population Based Training <https://docs.ray.io/en/master/tune/tutorials/tune-advanced-tutorial.html>`_.
# `Population Based Training <https://docs.ray.io/en/latest/tune/examples/pbt_guide.html>`_.
# Also, by saving the checkpoint we can later load the trained models and validate them
# on a test set. Lastly, saving checkpoints is useful for fault tolerance, and it allows
# us to interrupt training and continue training later.
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