[DOCS] Adds classification and regression links back to DFA docs. (#74930)

docs/reference/ingest/processors/inference.asciidoc

@@ -125,8 +125,7 @@ classes to the `probabilities` field. Both fields are contained in the
 `target_field` results object.
 
 Refer to the 
-// {ml-docs}/ml-dfa-lang-ident.html#ml-lang-ident-example[language identification] 
-language identification
+{ml-docs}/ml-dfa-lang-ident.html#ml-lang-ident-example[language identification] 
 trained model documentation for a full example.
 
 

docs/reference/ml/df-analytics/apis/get-trained-models.asciidoc

@@ -225,8 +225,9 @@ List of the available hyperparameters optimized during the
 `absolute_importance`::::
 (double)
 A positive number showing how much the parameter influences the variation of the 
-loss function. For hyperparameters with values that are not specified by the 
-user but tuned during hyperparameter optimization. 
+{ml-docs}/ml-dfa-regression.html#dfa-regression-lossfunction[loss function]. For 
+hyperparameters with values that are not specified by the user but tuned during 
+hyperparameter optimization. 
 
 `max_trees`::::
 (integer)

docs/reference/ml/df-analytics/apis/put-dfanalytics.asciidoc

@@ -81,8 +81,8 @@ one of the following types of analysis: {classification}, {oldetection}, or
 //Begin classification
 `classification`:::
 (Required^*^, object)
-The configuration information necessary to perform {classification}:
-// {ml-docs}/ml-dfa-classification.html[{classification}].
+The configuration information necessary to perform
+{ml-docs}/ml-dfa-classification.html[{classification}].
 +
 TIP: Advanced parameters are for fine-tuning {classanalysis}. They are set
 automatically by hyperparameter optimization to give the minimum validation
@@ -263,8 +263,9 @@ a large number of categories, there could be a significant effect on the size of
 +
 --
 NOTE: To use the
-AUC ROC evaluation method, `num_top_classes` must be set to `-1` or a value 
-greater than or equal to the total number of categories.
+{ml-docs}/ml-dfa-classification.html#ml-dfanalytics-class-aucroc[AUC ROC] 
+evaluation method, `num_top_classes` must be set to `-1` or a value greater than 
+or equal to the total number of categories.
 
 --
 
@@ -332,8 +333,8 @@ include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=standardization-enabled]
 //Begin regression
 `regression`:::
 (Required^*^, object)
-The configuration information necessary to perform {regression}:
-// {ml-docs}/ml-dfa-regression.html[{regression}].
+The configuration information necessary to perform
+{ml-docs}/ml-dfa-regression.html[{regression}].
 +
 TIP: Advanced parameters are for fine-tuning {reganalysis}. They are set
 automatically by hyperparameter optimization to give the minimum validation
@@ -391,9 +392,9 @@ include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=lambda]
 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}/ml-dfa-regression.html#dfa-regression-lossfunction[Loss functions for {regression} analyses]
-// to learn more.
+Refer to
+{ml-docs}/ml-dfa-regression.html#dfa-regression-lossfunction[Loss functions for {regression} analyses]
+to learn more.
 
 `loss_function_parameter`::::
 (Optional, double)