[DOCS] Adds 7.3.0 ml-cpp release notes #45019
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| * [ML] Tag destination index with data frame metadata {pull}43567[#43567] | ||
| * [ML] Improve message when native controller cannot connect {pull}43565[#43565] (issue: {issue}42341[#42341]) | ||
| * [ML] Introduce a setting for the process connect timeout {pull}43234[#43234] | ||
| * Tag destination index with data frame metadata {pull}43567[#43567] |
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Since this relates to data frame analytics, which is listed separately as a new feature, maybe this one shouldn't be included.
| * [ML] Introduce a setting for the process connect timeout {pull}43234[#43234] | ||
| * Tag destination index with data frame metadata {pull}43567[#43567] | ||
| * Improve message when native controller cannot connect {pull}43565[#43565] (issue: {issue}42341[#42341]) | ||
| * Introduce a setting for the process connect timeout {pull}43234[#43234] |
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This one was released in 6.8.2/7.2.1, so not sure if it needs including in 7.3.0 as well.
| * [ML] Adding support for geo_shape, geo_centroid, geo_point in datafeeds {pull}42969[#42969] (issue: {issue}42820[#42820]) | ||
| * [ML] Add earliest and latest timestamps to field stats {pull}42890[#42890] | ||
| * [ML] Change dots in CSV column names to underscores {pull}42839[#42839] (issue: {issue}26800[#26800]) | ||
| * Restrict detection of epoch timestamps in find_file_structure {pull}43188[#43188] |
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About half the enhancements relate to the find_file_structure endpoint, but they're all mixed up with the other ML enhancements. I think it would be clearer to list them all at the end of the ML section, as find_file_structure won't necessarily be of interest to most ML users. (But you may think this is setting a dangerous precedent in terms of effort spent on organising the release notes, in which case I'm happy to leave the order random.)
| * [ML] Change dots in CSV column names to underscores {pull}42839[#42839] (issue: {issue}26800[#26800]) | ||
| * Restrict detection of epoch timestamps in find_file_structure {pull}43188[#43188] | ||
| * Adding support for geo_shape, geo_centroid, geo_point in datafeeds {pull}42969[#42969] (issue: {issue}42820[#42820]) | ||
| * Add earliest and latest timestamps to field stats {pull}42890[#42890] |
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Add "in find_file_structure response"
| * Restrict detection of epoch timestamps in find_file_structure {pull}43188[#43188] | ||
| * Adding support for geo_shape, geo_centroid, geo_point in datafeeds {pull}42969[#42969] (issue: {issue}42820[#42820]) | ||
| * Add earliest and latest timestamps to field stats {pull}42890[#42890] | ||
| * Change dots in CSV column names to underscores {pull}42839[#42839] (issue: {issue}26800[#26800]) |
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Add "in find_file_structure response"
| @@ -355,10 +355,15 @@ Machine Learning:: | |||
| * Fix test for old cluster version >= 7.3.0 {pull}44437[#44437] | |||
| * Use specific version constant for wire bwc check {pull}44316[#44316] (issue: {issue}42501[#42501]) | |||
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This was introduced and fixed without ever being released, so I don't think it needs release noting.
| * Wait for .ml-config primary before assigning persistent tasks {pull}44170[#44170] (issue: {issue}44156[#44156]) | ||
| * Fix ML memory tracker lockup when inner step fails {pull}44158[#44158] (issue: {issue}44156[#44156]) | ||
| * Fix datafeed checks when a concrete remote index is present {pull}43923[#43923] (issue: {issue}42113[#42113]) | ||
| * Fix possible race condition when closing an opening job {pull}42506[#42506] |
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This was fixed in 6.8.1/7.2.0 - does it need to be here too?
| * [ML] Fix possible race condition when closing an opening job {pull}42506[#42506] | ||
| * Wait for .ml-config primary before assigning persistent tasks {pull}44170[#44170] (issue: {issue}44156[#44156]) | ||
| * Fix ML memory tracker lockup when inner step fails {pull}44158[#44158] (issue: {issue}44156[#44156]) | ||
| * Fix datafeed checks when a concrete remote index is present {pull}43923[#43923] (issue: {issue}42113[#42113]) |
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This was fixed in 6.8.2/7.2.1 - does it need to be here too?
| * Adjusting error message {pull}43455[#43455] | ||
| * Size the GET stats search by number of Ids requested {pull}43206[#43206] (issue: {issue}43203[#43203]) | ||
| * Rewrite start and stop to answer with acknowledged {pull}42589[#42589] (issue: {issue}42450[#42450]) | ||
| * Set DF task state to stopped when stopping {pull}42516[#42516] (issue: {issue}42441[#42441]) |
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Is the "DF" abbreviation acceptable to use?
| * Size the GET stats search by number of Ids requested {pull}43206[#43206] (issue: {issue}43203[#43203]) | ||
| * Rewrite start and stop to answer with acknowledged {pull}42589[#42589] (issue: {issue}42450[#42450]) | ||
| * Set DF task state to stopped when stopping {pull}42516[#42516] (issue: {issue}42441[#42441]) | ||
| * Add support for fixed_interval, calendar_interval, remove interval {pull}42427[#42427] (issues: {issue}33727[#33727], {issue}42297[#42297]) |
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This went into 7.2.0, which was when data frames was first released. From an end user's perspective data frame transforms have always been like this, so this item can be removed from the release notes.
| * Adjusting error message {pull}43455[#43455] | ||
| * Size the GET stats search by number of Ids requested {pull}43206[#43206] (issue: {issue}43203[#43203]) | ||
| * Rewrite start and stop to answer with acknowledged {pull}42589[#42589] (issue: {issue}42450[#42450]) | ||
| * Set DF task state to stopped when stopping {pull}42516[#42516] (issue: {issue}42441[#42441]) |
| * Data frame task failure do not make a 500 response {pull}44058[#44058] (issue: {issue}44011[#44011]) | ||
| * Audit message missing for autostop {pull}43984[#43984] (issue: {issue}43977[#43977]) | ||
| * Add data frame transform cluster privileges to HLRC {pull}43879[#43879] | ||
| * Fix progress measurement for continuous transforms {pull}43838[#43838] |
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we should remove this, progress is broken for continuous
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Thanks for all the feedback, @droberts195 and @hendrikmuhs |
This PR adds the PRs fromhttps://raw.githubusercontent.com/elastic/ml-cpp/7.3/docs/CHANGELOG.asciidoc to the Elasticsearch Reference 7.3.0 Release Notes.
It also edits the existing machine learning and data frame transform PRs.