[DOCS] Puts a link into the loss_function variable description (#56678)

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István Zoltán Szabó 2020-05-28 09:42:27 +02:00
parent 408250dcc4
commit e1cab4feb4
1 changed files with 6 additions and 3 deletions

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@ -227,12 +227,15 @@ include::{docdir}/ml/ml-shared.asciidoc[tag=lambda]
`loss_function`::::
(Optional, string)
The loss function used during regression. Available options are `mse` (mean squared error),
`msle` (mean squared logarithmic error), `huber` (Pseudo-Huber loss). Defaults to `mse`.
The loss function used during {regression}. Available options are `mse` (mean
squared error), `msle` (mean squared logarithmic error), `huber` (Pseudo-Huber
loss). Defaults to `mse`. Refer to
{ml-docs}/dfa-regression.html#dfa-regression-lossfunction[Loss functions for {regression} analyses]
to learn more.
`loss_function_parameter`::::
(Optional, double)
A strictly positive number that is used as a parameter to the `loss_function`.
A positive number that is used as a parameter to the `loss_function`.
`max_trees`::::
(Optional, integer)