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https://issues.apache.org/jira/browse/SOLR-10651?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16343607#comment-16343607
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ASF subversion and git services commented on SOLR-10651:
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Commit 603bb7fb14e795b3317385fe97c3bfcd4bc39725 in lucene-solr's branch
refs/heads/branch_7x from [~joel.bernstein]
[ https://git-wip-us.apache.org/repos/asf?p=lucene-solr.git;h=603bb7f ]
SOLR-10651, SOLR-10784: Add new statistical and machine learning functions to
CHANGES.txt for 7.3 release
> Streaming Expressions statistical functions library
> ---------------------------------------------------
>
> Key: SOLR-10651
> URL: https://issues.apache.org/jira/browse/SOLR-10651
> Project: Solr
> Issue Type: New Feature
> Security Level: Public(Default Security Level. Issues are Public)
> Components: streaming expressions
> Reporter: Joel Bernstein
> Assignee: Joel Bernstein
> Priority: Major
> Fix For: master (8.0), 7.3
>
> Attachments: SOLR_7_1_DOCS.patch
>
>
> This is a ticket for organizing the new statistical programming features of
> Streaming Expressions. It's also a place for the community to discuss what
> functions are needed to support statistical programming.
> Basic Syntax:
> {code}
> let(a = timeseries(...),
> b = timeseries(...),
> c = col(a, count(*)),
> d = col(b, count(*)),
> r = regress(c, d),
> tuple(p = predict(r, 50)))
> {code}
> The expression above is doing the following:
> 1) The let expression is setting variables (a, b, c, d, r).
> 2) Variables *a* and *b* are the output of timeseries() Streaming
> Expressions. These will be stored in memory as lists of Tuples containing the
> time series results.
> 3) Variables *c* and *d* are set using the *col* evaluator. The col evaluator
> extracts a column of numbers from a list of tuples. In the example *col* is
> extracting the count\(*\) field from the two time series result sets.
> 4) Variable *r* is the output from the *regress* evaluator. The regress
> evaluator performs a simple regression analysis on two columns of numbers.
> 5) Once the variables are set, a single Streaming Expression is run by the
> *let* expression. In the example the *tuple* expression is run. The tuple
> expression outputs a single Tuple with name/value pairs. Any Streaming
> Expression can be run by the *let* expression so this can be a complex
> program. The streaming expression run by *let* has access to all the
> variables defined earlier.
> 6) The tuple expression in the example has one name / value pair. The name
> *p* is set to the output of the *predict* evaluator. The predict evaluator is
> predicting the value of a dependent variable based on the independent
> variable 50. The regression result stored in variable *r* is used to make the
> prediction.
> 7) The output of this expression will be a single tuple with the value of the
> predict function in the *p* field.
> The growing list of issues linked to this ticket are the array manipulation
> and statistical functions that will form the basis of the stats library. The
> vast majority of these functions are backed by algorithms in Apache Commons
> Math. Other machine learning and math libraries will follow.
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