From d13772766ad16cc1e64d96e9cefbe5c1b3582d02 Mon Sep 17 00:00:00 2001 From: lcawl Date: Mon, 17 Dec 2018 11:49:40 -0800 Subject: [PATCH 1/2] [DOCS] Updates changelog for 7.0.0-alpha2 --- docs/CHANGELOG.asciidoc | 93 ++++------------------------------------- 1 file changed, 9 insertions(+), 84 deletions(-) diff --git a/docs/CHANGELOG.asciidoc b/docs/CHANGELOG.asciidoc index 1a0c694737..1eb4cb82d8 100644 --- a/docs/CHANGELOG.asciidoc +++ b/docs/CHANGELOG.asciidoc @@ -28,94 +28,19 @@ //=== Regressions - == {es} version 6.6.0 - -=== Breaking Changes - -=== Deprecations - -=== New Features - -=== Enhancements - -=== Bug Fixes - -Fix cause of "Sample out of bounds" error message (See {ml-pull}355[355].} - -=== Regressions - - == {es} version 6.5.3 - -=== Bug Fixes - -Correct query times for model plot and forecast in the bucket to match the times we assign -the samples we add to the model for each bucket. For long bucket lengths, this could result -in apparently shifted model plot with respect to the data and increased errors in forecasts. - - == {es} version 6.5.0 - -//=== Breaking Changes - -//=== Deprecations - -//=== New Features - -=== Enhancements - -Perform anomaly detection on features derived from multiple bucket values to improve robustness -of detection with respect to misconfigured bucket lengths and improve detection of long lasting -anomalies. (See {ml-pull}175[#175].) - -Support decomposing a time series into a piecewise linear trend and with piecewise constant -scaling of the periodic components. This extends our decomposition functionality to handle the -same types of change points that our modelling capabilities do. (See {ml-pull}198[198].) - -Increased independence of anomaly scores across partitions (See {ml-pull}182[182].) - -Avoid potential false positives at model start up when first detecting new components of the time -series decomposition. (See {ml-pull}218[218].) - -Add a new label - multi_bucket_impact - to record level anomaly results. -The value will be on a scale of -5 to +5 where -5 means the anomaly is purely single bucket -and +5 means the anomaly is purely multi bucket. ({ml-pull}230[230]) - -Improve our ability to detect change points in the presence of outliers. (See {ml-pull}265[265].) +== {es} version 7.0.0-alpha2 === Bug Fixes -Fix cause of "Bad density value..." log errors whilst forecasting. ({ml-pull}207[207]) - -Fix incorrectly missing influencers when the influence field is one of the detector's partitioning -fields and the bucket is empty. ({pull}219[#219]) - -Fix cause of hard_limit memory error for jobs with bucket span greater than one day. ({ml-pull}243[243]) - -Fix cause of "Failed to compute significance..." log errors ({ml-pull}272[272])" - -Prevent detecting a trend component during a possible change in the time series. The resulting -model was poorly reinitialised in this case which damaged anomaly detection for some time. (See -{ml-pull}287[#287].) - -Fix cause of "MERGE: Sum mode samples = 0, total samples = 4.43521.." log errors ({ml-pull}294[294]) - -//=== Regressions +* Fixes CPoissonMeanConjugate sampling error. {ml-pull}335[#335] +* Removes out-of-phase buckets feature. {ml-pull}318[#318] (issue: {ml-issue}302[#302]) -== {es} version 6.4.3 - -//=== Breaking Changes - -//=== Deprecations - -//=== New Features +== {es} version 7.0.0-alpha1 === Enhancements -Change linker options on macOS to allow Homebrew installs ({ml-pull}225[225]) - -//=== Bug Fixes - -Rules that trigger the `skip_model_update` action should also apply to the anomaly model. -This fixes an issue where anomaly scores of results that triggered the rule would decrease -if they occurred frequently. (See {ml-pull}222[#222].) - -//=== Regressions +* Adds include categorical filter type to detector rules. {ml-pull}27[#27] +* Linear scaling change detection. {ml-pull}25[#25] +* Implements an absolute goodness-of-fit test to accept a change. {ml-pull}21[#21] +* Wires in change detection/modelling to our univariate time series model. {ml-pull}11[#11] +* First pass implementation of support functionality for change detection and modelling. {ml-pull}9[#9] From 1399e94e08cf78aee98dd17498a978910bbe77ed Mon Sep 17 00:00:00 2001 From: lcawl Date: Tue, 18 Dec 2018 09:19:49 -0800 Subject: [PATCH 2/2] [DOCS] Cleans up PR list --- docs/CHANGELOG.asciidoc | 6 +----- 1 file changed, 1 insertion(+), 5 deletions(-) diff --git a/docs/CHANGELOG.asciidoc b/docs/CHANGELOG.asciidoc index 1eb4cb82d8..add2b46f2c 100644 --- a/docs/CHANGELOG.asciidoc +++ b/docs/CHANGELOG.asciidoc @@ -33,14 +33,10 @@ === Bug Fixes * Fixes CPoissonMeanConjugate sampling error. {ml-pull}335[#335] -* Removes out-of-phase buckets feature. {ml-pull}318[#318] (issue: {ml-issue}302[#302]) +//NOTE: Remove from final 7.0.0 release notes if already in 6.x == {es} version 7.0.0-alpha1 === Enhancements * Adds include categorical filter type to detector rules. {ml-pull}27[#27] -* Linear scaling change detection. {ml-pull}25[#25] -* Implements an absolute goodness-of-fit test to accept a change. {ml-pull}21[#21] -* Wires in change detection/modelling to our univariate time series model. {ml-pull}11[#11] -* First pass implementation of support functionality for change detection and modelling. {ml-pull}9[#9]