[DOCS] Puts a link into the loss_function variable description (#56678)
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@ -227,12 +227,15 @@ include::{docdir}/ml/ml-shared.asciidoc[tag=lambda]
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`loss_function`::::
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(Optional, string)
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The loss function used during regression. Available options are `mse` (mean squared error),
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`msle` (mean squared logarithmic error), `huber` (Pseudo-Huber loss). Defaults to `mse`.
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The loss function used during {regression}. Available options are `mse` (mean
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squared error), `msle` (mean squared logarithmic error), `huber` (Pseudo-Huber
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loss). Defaults to `mse`. Refer to
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{ml-docs}/dfa-regression.html#dfa-regression-lossfunction[Loss functions for {regression} analyses]
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to learn more.
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`loss_function_parameter`::::
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(Optional, double)
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A strictly positive number that is used as a parameter to the `loss_function`.
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A positive number that is used as a parameter to the `loss_function`.
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`max_trees`::::
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(Optional, integer)
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