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Date: Fri, 3 Nov 2017 19:36:01 +0000 (UTC)
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Subject: [jira] [Commented] (SOLR-11602) Add Markov Chain Stream Evaluator
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archived-at: Fri, 03 Nov 2017 19:36:09 -0000


    [ https://issues.apache.org/jira/browse/SOLR-11602?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16238237#comment-16238237 ] 

ASF subversion and git services commented on SOLR-11602:
--------------------------------------------------------

Commit 27fca76651129429652017116e29697ecccbf962 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=27fca76 ]

SOLR-11602: Add Markov Chain Stream Evaluator


> Add Markov Chain Stream Evaluator
> ---------------------------------
>
>                 Key: SOLR-11602
>                 URL: https://issues.apache.org/jira/browse/SOLR-11602
>             Project: Solr
>          Issue Type: New Feature
>      Security Level: Public(Default Security Level. Issues are Public) 
>            Reporter: Joel Bernstein
>            Assignee: Joel Bernstein
>             Fix For: 7.2
>
>         Attachments: SOLR-11602.patch, SOLR-11602.patch, SOLR-11602.patch
>
>
> Now that Streaming Expressions supports Monte Carlo simulations it would be useful to also support Markov Chains. This ticket will add support for Markov Chain simulations.
> Here is the syntax:
> {code}
> let(state0=array(.3, .4, .3),
>     state1=array(.2, .1, .7),
>     state2=array(.6, .2, .2),
>     states=matrix(state0, state1, state2),
>     m=markovChain(states, 0),
>     s=sample(m, 500))
> {code}
> The Markov chain is initialized with a matrix who's rows represent the different *states* of the system. The columns represent the probabilities of changing from one state to another state.
> For example if we are in state 1 represented by the array(.2,.1,.7), there is a .7 percent probability that it will transition to state 2.


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