github-mirrors/elasticsearch
1
0
Fork 0
mirror of https://github.com/elastic/elasticsearch.git synced 2025-04-24 23:27:25 -04:00
Code Issues Projects Releases Packages Wiki Activity

[ML][HLRC] Add data frame analytics regression analysis (#46024)

Browse source
This commit is contained in:
Dimitris Athanasiou 2019-08-28 08:12:10 +03:00 • committed by GitHub
parent fd3488d313
commit eab64250eb
No known key found for this signature in database
GPG key ID: 4AEE18F83AFDEB23
7 changed files with 382 additions and 14 deletions
Download patch file Download diff file Expand all files Collapse all files

28
docs/java-rest/high-level/ml/put-data-frame-analytics.asciidoc
View file

@ -75,25 +75,45 @@ include-tagged::{doc-tests-file}[{api}-dest-config]
==== Analysis
The analysis to be performed.
Currently, only one analysis is supported: +OutlierDetection+.
Currently, the supported analyses include : +OutlierDetection+, +Regression+.
===== Outlier Detection
+OutlierDetection+ analysis can be created in one of two ways:
["source","java",subs="attributes,callouts,macros"]
--------------------------------------------------
include-tagged::{doc-tests-file}[{api}-analysis-default]
include-tagged::{doc-tests-file}[{api}-outlier-detection-default]
--------------------------------------------------
<1> Constructing a new OutlierDetection object with default strategy to determine outliers
or
["source","java",subs="attributes,callouts,macros"]
--------------------------------------------------
include-tagged::{doc-tests-file}[{api}-analysis-customized]
include-tagged::{doc-tests-file}[{api}-outlier-detection-customized]
--------------------------------------------------
<1> Constructing a new OutlierDetection object
<2> The method used to perform the analysis
<3> Number of neighbors taken into account during analysis
===== Regression
+Regression+ analysis requires to set which is the +dependent_variable+ and
has a number of other optional parameters:
["source","java",subs="attributes,callouts,macros"]
--------------------------------------------------
include-tagged::{doc-tests-file}[{api}-regression]
--------------------------------------------------
<1> Constructing a new Regression builder object with the required dependent variable
<2> The lambda regularization parameter. A non-negative double.
<3> The gamma regularization parameter. A non-negative double.
<4> The applied shrinkage. A double in [0.001, 1].
<5> The maximum number of trees the forest is allowed to contain. An integer in [1, 2000].
<6> The fraction of features which will be used when selecting a random bag for each candidate split. A double in (0, 1].
<7> The name of the prediction field in the results object.
<8> The percentage of training-eligible rows to be used in training. Defaults to 100%.
==== Analyzed fields
FetchContext object containing fields to be included in / excluded from the analysis
@ -113,4 +133,4 @@ The returned +{response}+ contains the newly created {dataframe-analytics-config
["source","java",subs="attributes,callouts,macros"]
--------------------------------------------------
include-tagged::{doc-tests-file}[{api}-response]
--------------------------------------------------
--------------------------------------------------