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https://issues.apache.org/jira/browse/SOLR-9186?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joel Bernstein updated SOLR-9186:
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Description:
SOLR-8492 optimizes a logistic regression model for numeric fields. While this
is interesting, I think it would more interesting to build logistic regression
models on text.
This ticket will use the same *parallel iterative framework* as SOLR-8492, but
different data access patterns on the shards, to optimize a logistic regression
model on text.
This will support use cases such as building models for spam detection,
sentiment analysis and threat detection.
was:
SOLR-8492 optimizes a logistic regression model for numeric fields. While this
is interesting, I think it would more interesting to build logistic regression
models on text.
This ticket will use the same *parallel iterative framework* as SOLR-8492, but
different data access patterns on the shards, to optimize a logistic regression
model on text.
More details on the approach will follow.
> Logistic regression modeling on text
> ------------------------------------
>
> Key: SOLR-9186
> URL: https://issues.apache.org/jira/browse/SOLR-9186
> Project: Solr
> Issue Type: New Feature
> Reporter: Joel Bernstein
>
> SOLR-8492 optimizes a logistic regression model for numeric fields. While
> this is interesting, I think it would more interesting to build logistic
> regression models on text.
> This ticket will use the same *parallel iterative framework* as SOLR-8492,
> but different data access patterns on the shards, to optimize a logistic
> regression model on text.
> This will support use cases such as building models for spam detection,
> sentiment analysis and threat detection.
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