[tune] Fix lr typo in FAQ (#10548)

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Sumanth Ratna
2020-09-03 13:37:39 -07:00
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parent a13c83d7f0
commit 89bf262130
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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, 1e05)``.
**1e-1** and **1e-5**: ``tune.loguniform(1e-1, 1e-5)``.
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