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Add warning for hyperopt-parameters

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Matthias 2021-04-05 14:45:42 +02:00
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docs/hyperopt.md
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@ -305,6 +305,9 @@ There are four parameter types each suited for different purposes.
* `optimize` - when set to `False` parameter will not be included in optimization process.
Use these parameters to quickly prototype various ideas.
!!! Warning
Hyperoptable parameters cannot be used in `populate_indicators` - as hyperopt does not recalculate indicators for each epoch, so the starting value would be used in this case.
## Loss-functions
Each hyperparameter tuning requires a target. This is usually defined as a loss function (sometimes also called objective function), which should decrease for more desirable results, and increase for bad results.