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[7.x][DOCS] Changes hyperparam optimization section ID (#50173)

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István Zoltán Szabó 2019-12-13 12:22:50 +01:00 committed by GitHub
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docs/reference/ml/df-analytics/apis/analysisobjects.asciidoc
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@ -104,7 +104,7 @@ include::{docdir}/ml/ml-shared.asciidoc[tag=randomize-seed]
===== Advanced parameters
Advanced parameters are for fine-tuning {reganalysis}. They are set
automatically by <<ml-hyperparameter-optimization,hyperparameter optimization>>
automatically by <<ml-hyperparam-optimization,hyperparameter optimization>>
to give minimum validation error. It is highly recommended to use the default
values unless you fully understand the function of these parameters. If these
parameters are not supplied, their values are automatically tuned to give
@ -170,7 +170,7 @@ include::{docdir}/ml/ml-shared.asciidoc[tag=randomize-seed]
===== Advanced parameters
Advanced parameters are for fine-tuning {classanalysis}. They are set
automatically by <<ml-hyperparameter-optimization,hyperparameter optimization>>
automatically by <<ml-hyperparam-optimization,hyperparameter optimization>>
to give minimum validation error. It is highly recommended to use the default
values unless you fully understand the function of these parameters. If these
parameters are not supplied, their values are automatically tuned to give
@ -197,7 +197,7 @@ include::{docdir}/ml/ml-shared.asciidoc[tag=gamma]
include::{docdir}/ml/ml-shared.asciidoc[tag=lambda]
[discrete]
[[ml-hyperparameter-optimization]]
[[ml-hyperparam-optimization]]
==== Hyperparameter optimization
If you don't supply {regression} or {classification} parameters, hyperparameter