4949
5050Also see <<breaking-changes-6.6,Breaking changes in 6.6>>.
5151
52+ [float]
53+ [[feature-6.6.0]]
54+ === New features
55+
56+ Machine Learning::
57+ * Store job configuration information in the new `.ml-config` index
58+ {pull}36698[#36698] (issue: {issue}32905[#32905])
59+ * Determine when data is missing from a bucket due to ingest latency
60+ {pull}35387[#35387] (issue: {issue}35131[#35131])
61+
62+ [float]
63+ [[enhancement-6.6.0]]
64+ === Enhancements
65+
66+ Machine Learning::
67+ * Create the {ml} annotations index {pull}36731[#36731] (issue: {issue}33376[#33376])
68+ * Add cluster setting to enable/disable config migration {pull}36700[#36700]
69+ (issue: {issue}32905[#32905])
70+ * Enable the use of endpoints starting with `_ml` instead of `_xpack/ml`
71+ {pull}36373[#36373] (issue: {issue}36315[#36315])
72+ * Add audits when deprecation warnings occur while datafeeds start
73+ {pull}36233[#36233]
74+ * Add lazy parsing for DatafeedConfig:Aggs,Query {pull}36117[#36117]
75+ * Add support for rollup indexes in datafeeds {pull}34654[#34654]
76+
5277[[bug-6.6.0]]
5378[float]
5479=== Bug fixes
@@ -57,4 +82,10 @@ Machine Learning::
5782* Fix cause of "Sample out of bounds" error message. {ml-pull}335[#335]
5883* Fix hang when closing a job or creating a forecast. This problem occurs if you
5984created a forecast for a large job and temporary storage was not cleaned up.
60- {ml-pull}352[#352] (issue: {ml-issue}350[#350])
85+ {ml-pull}352[#352] (issue: {ml-issue}350[#350])
86+ * Wait for autodetect to be ready in the datafeed {pull}37349[#37349]
87+ (issues: {issue}36810[#36810], {issue}37227[#37227])
88+ * Stop datafeeds when their jobs are stale {pull}37227[#37227]
89+ (issue: {issue}36810[#36810])
90+ * Order get job stats API response by job id {pull}36841[#36841]
91+ (issue: {issue}36683[#36683])
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