[DOCS] Documents AIOps Labs enhancements (#157716)

Co-authored-by: Dima Arnautov <arnautov.dima@gmail.com>

docs/user/ml/index.asciidoc

@@ -130,10 +130,12 @@ the spike and displays them in a table. You can optionally choose to summarize
 the results into groups. The table also shows an indicator of the level of 
 impact and a sparkline showing the shape of the impact in the chart. Hovering 
 over a row displays the impact on the histogram chart in more detail. You can 
-inspect a field in **Discover** by selecting this option under the **Actions** 
-column. You can also pin a table row by clicking on it then move the cursor to 
-the histogram chart. It displays a tooltip with exact count values for the 
-pinned field which enables closer investigation.
+inspect a field in **Discover**, further investiage in **Log pattern analysis**, 
+or copy the table row information as a query filter to the clipboard by 
+selecting the corresponding option under the **Actions** column. You can also 
+pin a table row by clicking on it then move the cursor to the histogram chart. 
+It displays a tooltip with exact count values for the pinned field which enables 
+closer investigation.
 
 Brushes in the chart show the baseline time range and the deviation in the 
 analyzed data. You can move the brushes to redefine both the baseline and the 
@@ -156,7 +158,8 @@ displays them together with a chart that shows the distribution of each category
 and an example document that matches the category.
 
 You can find log pattern analysis under **{ml-app}** > **AIOps Labs** where you 
-can select the {data-source} or saved search that you want to analyze.
+can select the {data-source} or saved search that you want to analyze, or in 
+**Discover** as an available action for any text field.
 
 [role="screenshot"]
 image::user/ml/images/ml-log-pattern-analysis.png[Log pattern analysis UI]
@@ -187,14 +190,22 @@ image::user/ml/images/ml-change-point-detection.png[Change point detection UI]
 
 Select a function and a metric field, then pick a date range to start detecting 
 change points in the defined range. Optionally, you can split the data by a 
-field. If the cardinality of the split field is greater than 10,000, then only 
-the first 10,000, sorted by document count, are analyzed.
+field. If the cardinality of the split field exceeds 10,000, then only the first 
+10,000, sorted by document count, are analyzed. You can configure a maximum of 6  
+combinations of a function applied to a metric field, partitioned by a split 
+field to identify change points.
 
-If a change point is detected, a chart visualizes where the change point was identified in
-the time window analyzed, making the interpretation easier. If you split the analysis by a 
-field, a separate chart is displayed for every partition with a detected change 
-point. You can view the type of change point in the chart as well as its value 
-and the time when the change happened. The corresponding `p-value` indicates how 
-extreme the change is; lower values mark more significant changes. You can use 
-the change point type selector to filter the results by specific types of change 
-points.
+When a change point is detected, a row displays basic information including the 
+timestamp of the change point, a preview chart, the type of change point, its 
+p-value, the name and value of the split field. You can further examine the 
+selected change point in a detailed view. A chart visualizes the identified 
+change point within the analyzed time window, making the interpretation easier. 
+If the analysis is split by a field, a separate chart is shown for every 
+partition that has a detected change point. The chart displays the type of 
+change point, its value, and the timestamp of the bucket where the change point 
+has been detected. The corresponding `p-value` indicates the magnitude of the 
+change; lower values indicate more significant changes. You can use the change 
+point type selector to filter the results by specific types of change points.
+
+[role="screenshot"]
+image::user/ml/images/ml-change-point-detection-selected.png[Selected change points]