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[tune][docs] Fix learning rate bounds in FAQ (#11345)

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Sumanth Ratna
2020-10-12 12:44:53 -04:00
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doc/source/tune/_tutorials/_faq.rst
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@@ -57,7 +57,7 @@ reports to use ``max_depth=6`` for the maximum decision tree depth. Here, anythi
between 2 and 10 might make sense (though that naturally depends on your problem).
For **learning rates**, we suggest using a **loguniform distribution** between
**1e-1** and **1e-5**: ``tune.loguniform(1e-1, 1e-5)``.
**1e-5** and **1e-1**: ``tune.loguniform(1e-5, 1e-1)``.
For **batch sizes**, we suggest trying **powers of 2**, for instance, 2, 4, 8,
16, 32, 64, 128, 256, etc. The magnitude depends on your problem. For easy