this adds the new field `feature_importance_baseline` and allows it to be optionally be included in the model's metadata.
Related to: https://github.com/elastic/ml-cpp/pull/1522
Ignore by default unavailable indices (same as ES) and verify that
allowNoIndices is set to false since at least one index is required
for validating the query.
Fix#62986
(cherry picked from commit fd75ac27223cd1b699b8d9c311dc401a39f9e0c8)
* [ML] renames */inference* apis to */trained_models* (#63097)
This commit renames all `inference` CRUD APIs to `trained_models`.
This aligns with internal terminology, documentation, and use-cases.
Remove Count class and related artifacts since that functionality is not
(yet) available.
Update parser name for better error reporting.
Fix#62131
(cherry picked from commit 060f500346788c4c5d0b3b9c045facec5d677d3d)
Classification feature importance supports various types in the class name:
- string
- boolean
- numerical
The xcontent parsing on the server side and the HLRC side should support and test these types.
As we have decided top level importance for classification is not useful,
it has been removed from the results from the training job. This commit
also removes them from inference.
Backport of #62486
In case of more than 500 transforms, get and stats return paged results which can be requested using
page parameters. For >500 transforms count wasn't parsed out of the server response but taken from
size of the list of transforms.
The change also adds client/server hlrc tests and fixes a wrong type for count in get.
fixes#56245
Since `=` is rarely used and is undocumented we its support for
equality comparisons keeping `==` as the only option. `=` is now only
used for assignments like in `maxspan=10m`.
Closes: #62650
(cherry picked from commit ad5ae4d887b5c2feca2d0e874d7bdf738e3fd54e)
* [ML] Add new include flag to GET inference/<model_id> API for model training metadata (#61922)
Adds new flag include to the get trained models API
The flag initially has two valid values: definition, total_feature_importance.
Consequently, the old include_model_definition flag is now deprecated.
When total_feature_importance is included, the total_feature_importance field is included in the model metadata object.
Including definition is the same as previously setting include_model_definition=true.
* fixing test
* Update x-pack/plugin/core/src/test/java/org/elasticsearch/xpack/core/ml/action/GetTrainedModelsRequestTests.java
The purpose for this change is to allow validation of queries without
having to actually execute them. The optimizer already picks up this
case.
Fix#62494
(cherry picked from commit 675889559b2f96a0c1faa6fc84fd537148ba2cce)
This adds ILM support for automatically migrating the managed
indices between data tiers.
This proposal makes use of a MigrateAction that is injected
(similar to how the Unfollow action is injected) in phases that
don't define index allocation rules using the AllocateAction or
don't explicitly define the MigrateAction itself (regardless if it's
enabled or disabled).
(cherry picked from commit c1746afffd61048d0c12d3a77e6d8191a804ed49)
Signed-off-by: Andrei Dan <andrei.dan@elastic.co>
This commit removes `integTest` task from all es-plugins.
Most relevant projects have been converted to use yamlRestTest, javaRestTest,
or internalClusterTest in prior PRs.
A few projects needed to be adjusted to allow complete removal of this task
* x-pack/plugin - converted to use yamlRestTest and javaRestTest
* plugins/repository-hdfs - kept the integTest task, but use `rest-test` plugin to define the task
* qa/die-with-dignity - convert to javaRestTest
* x-pack/qa/security-example-spi-extension - convert to javaRestTest
* multiple projects - remove the integTest.enabled = false (yay!)
related: #61802
related: #60630
related: #59444
related: #59089
related: #56841
related: #59939
related: #55896
* [ML] adds new n_gram_encoding custom processor (#61578)
This adds a new `n_gram_encoding` feature processor for analytics and inference.
The focus of this processor is simple ngram encodings that allow:
- multiple ngrams [1..5]
- Prefix, infix, suffix
This removes the assertion that the header warnings we parse in the
rest client reponses conform to RFC 7234 because we are not in full control
of the warnings that could be present in the responses (ie. proxies might
emit warnings that don't comply).
We still maintain this assertion on the ES side (see `HeaderWarning#addWarning`)
for the warnings we emit.
(cherry picked from commit 1259a46cbe84d32e85cd1a7455012d177b809702)
Signed-off-by: Andrei Dan <andrei.dan@elastic.co>
The domain part of a Cloud-Id can contain an optional custom port, e.g.
cloud.example.org:9443. This feature is used for Elastic Cloud
Enterprise installations that can't use the default port 443.
This change fixes RestClient.build() to correctly handle custom ports.
DeprecationLogger's constructor should not create two loggers. It was
taking parent logger instance, changing its name with a .deprecation
prefix and creating a new logger.
Most of the time parent logger was not needed. It was causing Log4j to
unnecessarily cache the unused parent logger instance.
depends on #61515
backports #58435
Splitting DeprecationLogger into two. HeaderWarningLogger - responsible for adding a response warning headers and ThrottlingLogger - responsible for limiting the duplicated log entries for the same key (previously deprecateAndMaybeLog).
Introducing A ThrottlingAndHeaderWarningLogger which is a base for other common logging usages where both response warning header and logging throttling was needed.
relates #55699
relates #52369
backports #55941
The building block of the eql response is currently the SearchHit. This
is a problem since it is tied to an actual search, and thus has scoring,
highlighting, shard information and a lot of other things that are not
relevant for EQL.
This becomes a problem when doing sequence queries since the response is
not generated from one search query and thus there are no SearchHits to
speak of.
Emulating one is not just conceptually incorrect but also problematic
since most of the data is missed or made-up.
As such this PR introduces a simple class, Event, that maps nicely to
the terminology while hiding the ES internals (the use of SearchHit or
GetResult/GetResponse depending on the API used).
Fix#59764Fix#59779
Co-authored-by: Igor Motov <igor@motovs.org>
(cherry picked from commit 997376fbe6ef2894038968842f5e0635731ede65)
* [ML] adding docs + hlrc for data frame analysis feature_processors (#61149)
Adds HLRC and some docs for the new feature_processors field in Data frame analytics.
Co-authored-by: Przemysław Witek <przemyslaw.witek@elastic.co>
Co-authored-by: Lisa Cawley <lcawley@elastic.co>
We only ever support `JSON` for the query source format in practice.
The reason this test worked before is a bug in xcontent parsing that parses
empty maps out of streams of the wrong format.
Closes#61483
(cherry picked from commit 291f5bd1b2e889e9447d660e5407f3120cffb1a5)
Signed-off-by: Andrei Dan <andrei.dan@elastic.co>
Co-authored-by: Tuan Le <23419763+tumile@users.noreply.github.com>
Use thread-local buffers and deflater and inflater instances to speed up
compressing and decompressing from in-memory bytes.
Not manually invoking `end()` on these should be safe since their off-heap memory
will eventually be reclaimed by the finalizer thread which should not be an issue for thread-locals
that are not instantiated at a high frequency.
This significantly reduces the amount of byte copying and object creation relative to the previous approach
which had to create a fresh temporary buffer (that was then resized multiple times during operations), copied
bytes out of that buffer to a freshly allocated `byte[]`, used 4k stream buffers needlessly when working with
bytes that are already in arrays (`writeTo` handles efficient writing to the compression logic now) etc.
Relates #57284 which should be helped by this change to some degree.
Also, I expect this change to speed up mapping/template updates a little as those make heavy use of these
code paths.
Backport of #60746
to wait for at least a single shard to be allocated for a backing index of a data stream,
so that total store size is larger than zero (which is what the tests expects).
Closes#60461
implements a test suite for testing continuous transform with randomization in terms of mappings,
index settings, transform configuration. Add a test case for terms and date histogram. The test
covers:
- continuous mode with several checkpoints created
- correctness of results
- optimizations (minimal necessary writes)
- permutations of features (index settings, aggs, data types, index or data stream)
* Merge test runner task into RestIntegTest (#60261)
* Merge test runner task into RestIntegTest
* Reorganizing Standalone runner and RestIntegTest task
* Rework general test task configuration and extension
* Fix merge issues
* use former 7.x common test configuration
This PR removes the expand_wildcards and forbid_closed_indices parameters from the Data
Streams Stats REST endpoint. These options are required for broadcast requests, but are not
needed for anything in terms of resolving data streams. Instead, we just set a default set of
IndicesOptions on the transport request.
* Adding new `require_alias` option to indexing requests (#58917)
This commit adds the `require_alias` flag to requests that create new documents.
This flag, when `true` prevents the request from automatically creating an index. Instead, the destination of the request MUST be an alias.
When the flag is not set, or `false`, the behavior defaults to the `action.auto_create_index` settings.
This is useful when an alias is required instead of a concrete index.
closes https://github.com/elastic/elasticsearch/issues/55267
* [ML] add new `custom` field to trained model processors (#59542)
This commit adds the new configurable field `custom`.
`custom` indicates if the preprocessor was submitted by a user or automatically created by the analytics job.
Eventually, this field will be used in calculating feature importance. When `custom` is true, the feature importance for
the processed fields is calculated. When `false` the current behavior is the same (we calculate the importance for the originating field/feature).
This also adds new required methods to the preprocessor interface. If users are to supply their own preprocessors
in the analytics job configuration, we need to know the input and output field names.
Backport of #59525 to 7.x branch.
* Actions are moved to xpack core.
* Transport and rest actions are moved the data-streams module.
* Removed data streams methods from Client interface.
* Adjusted tests to use client.execute(...) instead of data stream specific methods.
* only attempt to delete all data streams if xpack is installed in rest tests
* Now that ds apis are in xpack and ESIntegTestCase
no longers deletes all ds, do that in the MlNativeIntegTestCase
class for ml tests.
This API reports on statistics important for data streams, including the number of data
streams, the number of backing indices for those streams, the disk usage for each data
stream, and the maximum timestamp for each data stream
Different kinds of requests may need different request options from the client
default. Users can optionally set RequestConfig on a single request's
RequestOptions to override the default. Without this, socketTimeout can only
set at RestClient initialization.
Co-authored-by: weizijun <weizijun1989@gmail.com>