[SOLR-9186] Logistic regression modeling for text

• Type: New Feature
• Status: Closed
• Priority: Major
• Resolution: Won't Fix
• Assignee: Joel Bernstein
• Reporter: Joel Bernstein
• Created: 04/Jun/16 02:22
• Updated: 27/Jun/16 22:22
• Resolved: 27/Jun/16 22:22

Description

SOLR-8492 optimizes a logistic regression model for numeric fields. While this is interesting, I think it would be more interesting to build logistic regression models on text within an inverted index.

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.

Issue Links

• is superceded by: SOLR-9252 Feature selection and logistic regression on text