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Commit 25258323 authored by Tsukasa OMOTO's avatar Tsukasa OMOTO Committed by Qiwei Ye
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Add `gaussian_eta` to Parameters.md (#708) 

https://github.com/Microsoft/LightGBM/issues/705#issuecomment-315976423
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docs/Parameters.md
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...@@ -211,6 +211,8 @@ The parameter format is `key1=value1 key2=value2 ... ` . And parameters can be s ...@@ -211,6 +211,8 @@ The parameter format is `key1=value1 key2=value2 ... ` . And parameters can be s
* parameter for [Huber loss](https://en.wikipedia.org/wiki/Huber_loss "Huber loss - Wikipedia"). Will be used in regression task. * parameter for [Huber loss](https://en.wikipedia.org/wiki/Huber_loss "Huber loss - Wikipedia"). Will be used in regression task.
* `fair_c`, default=`1.0`, type=double * `fair_c`, default=`1.0`, type=double
* parameter for [Fair loss](https://www.kaggle.com/c/allstate-claims-severity/discussion/24520). Will be used in regression task. * parameter for [Fair loss](https://www.kaggle.com/c/allstate-claims-severity/discussion/24520). Will be used in regression task.
* `gaussian_eta`, default=`1.0`, type=double
* parameter to control the width of Gaussian function. Will be used in l1 and huber regression loss.
* `poission_max_delta_step`, default=`0.7`, type=double * `poission_max_delta_step`, default=`0.7`, type=double
* parameter used to safeguard optimization * parameter used to safeguard optimization
* `scale_pos_weight`, default=`1.0`, type=double * `scale_pos_weight`, default=`1.0`, type=double
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