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https://issues.apache.org/jira/browse/SOLR-13105?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17260869#comment-17260869
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David Eric Pugh edited comment on SOLR-13105 at 1/7/21, 11:01 PM:
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Okay, [~ctargett]I've gone through a pass of reading everything... my eyes are
burning, but I'm done.
I only made edits I felt confident of, and left the rest as notes in this
ticker. Here are some more notes from going through the second half.
8. variables.adoc, line 206 appears awkward. Strike the "an
be cached in-memory for future use."
9. variables.adoc, sometimes a variable is wrapped in both code comments and
bold, and sometime not. In other places, we appear to just wrap them in bold
tags. Also in term-vectors.adoc
10. matrix-math.adoc line 127, starting here, we introduce some visualizations
in Apache Zeppelin that are not out of the box zeppelin ones. would be nice to
know how to recreate this visualization! How do I add the heat map ;-) Maybe
a seperate call out to "HOw I set up Zeppelin" would be useful.
11. term-vectors.adoc We introduce some movie reviews. again, would love to
have the sample data!
12. statistics.adoc We introduce the logs collection (I think it's source from
Solr), again, would love to have a call out on how to set it up myself!
13. in the statistics.adoc, we refer to stock ticker symbols.. Should they be
all caps? Isn't amzn always AMZN???
14. statistics.adoc introduces a stock prices collection. Guess what I'd like
;-)
15. machine-learning.adoc introduces a wine collection.. Yep, I am a broken
record ;-)
was (Author: epugh):
Okay, [~ctargett]I've gone through a pass of reading everything... my eyes are
burning, but I'm done.
Here are some more notes from going through.
8. variables.adoc, line 206 appears awkward. Strike the "an
be cached in-memory for future use."
9. variables.adoc, sometimes a variable is wrapped in both code comments and
bold, and sometime not. In other places, we appear to just wrap them in bold
tags. Also in term-vectors.adoc
10. matrix-math.adoc line 127, starting here, we introduce some visualizations
in Apache Zeppelin that are not out of the box zeppelin ones. would be nice to
know how to recreate this visualization! How do I add the heat map ;-) Maybe
a seperate call out to "HOw I set up Zeppelin" would be useful.
11. term-vectors.adoc We introduce some movie reviews. again, would love to
have the sample data!
12. statistics.adoc We introduce the logs collection (I think it's source from
Solr), again, would love to have a call out on how to set it up myself!
13. in the statistics.adoc, we refer to stock ticker symbols.. Should they be
all caps? Isn't amzn always AMZN???
14. statistics.adoc introduces a stock prices collection. Guess what I'd like
;-)
15. machine-learning.adoc introduces a wine collection.. Yep, I am a broken
record ;-)
> A visual guide to Solr Math Expressions and Streaming Expressions
> -----------------------------------------------------------------
>
> Key: SOLR-13105
> URL: https://issues.apache.org/jira/browse/SOLR-13105
> Project: Solr
> Issue Type: New Feature
> Reporter: Joel Bernstein
> Assignee: Joel Bernstein
> Priority: Major
> Attachments: Screen Shot 2019-01-14 at 10.56.32 AM.png, Screen Shot
> 2019-02-21 at 2.14.43 PM.png, Screen Shot 2019-03-03 at 2.28.35 PM.png,
> Screen Shot 2019-03-04 at 7.47.57 PM.png, Screen Shot 2019-03-13 at 10.47.47
> AM.png, Screen Shot 2019-03-30 at 6.17.04 PM.png
>
>
> Visualization is now a fundamental element of Solr Streaming Expressions and
> Math Expressions. This ticket will create a visual guide to Solr Math
> Expressions and Solr Streaming Expressions that includes *Apache Zeppelin*
> visualization examples.
> It will also cover using the JDBC expression to *analyze* and *visualize*
> results from any JDBC compliant data source.
> Intro from the guide:
> {code:java}
> Streaming Expressions exposes the capabilities of Solr Cloud as composable
> functions. These functions provide a system for searching, transforming,
> analyzing and visualizing data stored in Solr Cloud collections.
> At a high level there are four main capabilities that will be explored in the
> documentation:
> * Searching, sampling and aggregating results from Solr.
> * Transforming result sets after they are retrieved from Solr.
> * Analyzing and modeling result sets using probability and statistics and
> machine learning libraries.
> * Visualizing result sets, aggregations and statistical models of the data.
> {code}
>
> A few sample visualizations are attached to the ticket.
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