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[ML] Partition-wise maximum scores #32748
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Added infrastructure to push through the 'person name field value' to the normalizer process. This is required by the normalizer to retrieve the maximum scores for individual partitions.
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This looks like it should work. I just noticed a couple of minor things.
The reason the PR build failed was nothing to do with this change. To solve that, fetch the latest master branch and merge it into your PR branch. Hopefully then the PR CI will go green.
@@ -74,6 +78,7 @@ public void writeTo(StreamOutput out) throws IOException { | |||
out.writeOptionalString(partitionFieldName); | |||
out.writeOptionalString(partitionFieldValue); | |||
out.writeOptionalString(personFieldName); | |||
out.writeOptionalString(personFieldValue); |
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Since this is streaming to another node it needs BWC logic. (I'm not sure why this class is wire streamable, as I would have thought instances of it would always be created, used and destroyed on the same node that the normalizer
process was running on, but since it is it's best to do it properly.)
if (out.getVersion().onOrAfter(Version.V_6_5_0)) {
out.writeOptionalString(personFieldValue);
}
@@ -62,6 +65,7 @@ public NormalizerResult(StreamInput in) throws IOException { | |||
partitionFieldName = in.readOptionalString(); | |||
partitionFieldValue = in.readOptionalString(); | |||
personFieldName = in.readOptionalString(); | |||
personFieldValue = in.readOptionalString(); |
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Since this is streaming from another node it needs BWC logic. (I'm not sure why this class is wire streamable, as I would have thought instances of it would always be created, used and destroyed on the same node that the normalizer
process was running on, but since it is it's best to do it properly.)
if (in.getVersion().onOrAfter(Version.V_6_5_0)) {
personFieldValue = in.readOptionalString();
}
@@ -46,6 +46,9 @@ public String getPersonFieldName() { | |||
return bucketInfluencer.getInfluencerFieldName(); | |||
} | |||
|
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@Override | |||
public String getPersonFieldValue() { return null; } |
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The all-on-one-line formatting here is different to all the other methods in the file.
IntelliJ might have mislead you into thinking that all the others look like this as it has an option to squash single statement methods on-screen. There's an option to disable that functionality.
Ensuring that changes are fully backwards compatible
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LGTM
…listeners * elastic/master: (58 commits) [ML] Partition-wise maximum scores (elastic#32748) [DOCS] XContentBuilder#bytes method removed, using BytesReference.bytes(docBuilder) (elastic#32771) HLRC: migration get assistance API (elastic#32744) Add a task to run forbiddenapis using cli (elastic#32076) [Kerberos] Add debug log statement for exceptions (elastic#32663) Make x-pack core pull transport-nio (elastic#32757) Painless: Clean Up Whitelist Names (elastic#32791) Cat apis: Fix index creation time to use strict date format (elastic#32510) Clear Job#finished_time when it is opened (elastic#32605) (elastic#32755) Test: Only sniff host metadata for node_selectors (elastic#32750) Update scripted metric docs to use `state` variable (elastic#32695) Painless: Clean up PainlessCast (elastic#32754) [TEST] Certificate NONE not allowed in FIPS JVM (elastic#32753) [ML] Refactor ProcessCtrl into Autodetect and Normalizer builders (elastic#32720) Access build tools resources (elastic#32201) Tests: Disable rolling upgrade tests with system key on fips JVM (elastic#32775) HLRC: Ban LoggingDeprecationHandler (elastic#32756) Fix test reproducability in AbstractBuilderTestCase setup (elastic#32403) Only require java<version>_home env var if needed Tests: Muted ScriptDocValuesDatesTests.testJodaTimeBwc ...
Added infrastructure to push through the 'person name field value' to the normalizer process. This is required by the normalizer to retrieve the maximum scores for individual partitions.
Added infrastructure to push through the 'person name field value' to
the normalizer process. This is required by the normalizer to retrieve
the maximum scores for individual partitions.
The native-code normaliser process will currently simply ignore the new field. Therefore it is safe (and desirable) that this change be pushed prior to the corresponding native code (ml-cpp) changes.
Relates to elastic/ml-cpp#181