anchor.diff:  * Rest High Level client: Add List Tasks {pull}29546[#29546] (issue: {issue}27205[#27205])
   
   Machine learning::
  -* Detectors now support {stack-ov}/ml-rules.html[custom rules] that enable the 
  -user to improve machine learning results by providing some domain-specific 
  +* Detectors now support {stack-ov}/ml-rules.html[custom rules] that enable the
  +user to improve machine learning results by providing some domain-specific
   knowledge in the form of rule. {ml-pull}119[#119], {pull}31110[#31110], {pull}31294[#31294] (issue: {issue}31110[#31110])
   * Reverse engineer Grok patterns from categorization results {pull}30125[#30125]
   
   Mapping::
   * Add support for field aliases. {pull}32172[#32172] (issues: {issue}23714[#23714], {issue}31372[#31372])
   * Add an option to split keyword field on whitespace at query time {pull}30691[#30691] (issue: {issue}30393[#30393])
  -* The new <<mapping-ignored-field,`_ignored`>> field enables you to know which 
  +* The new <<mapping-ignored-field,`_ignored`>> field enables you to know which
   fields got ignored at index time because of the <<ignore-malformed,`ignore_malformed`>>
   option. ({pull}29658[#29658]) (issue: {issue}29494[#29494])
   
  
positive.code: * Reduces the memory consumed by distribution models ({ml-pull}162[#162], {ml-pull}146[#146])
  * Forecasting of large machine learning jobs is now supported by temporarily storing
  model state on disk ({ml-pull}89[#89])
  * Secures the machine learning processes by preventing system calls such as fork 
  and exec. The Linux implementation uses Seccomp BPF (secure computing with 
  Berkeley Packet Filters) to intercept system calls and is available in kernels 
  since 3.5. On Windows, Job Objects prevent new processes being created and macOS 
  uses the sandbox functionality ({ml-pull}106[#106], {ml-pull}98[#98])
  * Fixes a bug that caused underestimation of the memory used by shared pointers. 
  Also reduces the memory consumed by unnecessary reference counting ({ml-pull}121[#121], {ml-pull}108, {ml-pull}115[#115])
  * Reduces model memory by storing the state for testing predictive calendar 
  features in a compressed format ({ml-pull}137[#137], {ml-pull}127[#127])
  * Always combine duplicate samples when updating population models ({ml-pull}74[#74])
  * Speeds up trend model component prediction ({ml-pull}73[#73])
  
negative.code:  * Use simpler write-once semantics for HDFS repository {pull}30439[#30439]
   * User proper write-once semantics for GCS repository {pull}30438[#30438]
   * Use stronger write-once semantics for Azure repository {pull}30437[#30437]
   * Use simpler write-once semantics for FS repository {pull}30435[#30435]
   * Do not fail snapshot when deleting a missing snapshotted file {pull}30332[#30332] (issue: {issue}28322[#28322])
   * Repository GCS plugin new client library {pull}30168[#30168] (issue: {issue}29259[#29259])
   * Fail snapshot operations early on repository corruption {pull}30140[#30140] (issues: {issue}29649[#29649])
  