[jira] Updated: (SOLR-1302) Fun with Distances - Add Distance functions for a variety of things
[ https://issues.apache.org/jira/browse/SOLR-1302?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Grant Ingersoll updated SOLR-1302: -- Attachment: SOLR-1302.patch Adds in SquaredEuclideanFunction and EuclideanFunction distance functions in addition to the others. Both can calculate the Euclidean distance on an n-dimensional vector made up of the fields of a document. See the unit test (DistanceFunctionTest) for an example. Fun with Distances - Add Distance functions for a variety of things --- Key: SOLR-1302 URL: https://issues.apache.org/jira/browse/SOLR-1302 Project: Solr Issue Type: New Feature Reporter: Grant Ingersoll Assignee: Grant Ingersoll Priority: Minor Fix For: 1.5 Attachments: SOLR-1302.patch, SOLR-1302.patch There are many distance functions that are useful to have: 1. Great Circle (lat/lon) and other geo distances 2. Euclidean (Vector) 3. Manhattan (Vector) 4. Cosine (Vector) For the vector ones, the idea is that the fields on a document can be used to determine the vector. -- This message is automatically generated by JIRA. - You can reply to this email to add a comment to the issue online.
[jira] Updated: (SOLR-1302) Fun with Distances - Add Distance functions for a variety of things
[ https://issues.apache.org/jira/browse/SOLR-1302?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Grant Ingersoll updated SOLR-1302: -- Attachment: SOLR-1302.patch No need for all of these classes for one offs of distance. Implement general Lp_Space Vector distance function + a special case for the squared euclidean distance (which isn't really a distance, but is still useful.) See http://en.wikipedia.org/wiki/Lp_space Euclidean distance is dist(2, valuesources...), while Manhattan is (dist(1, valuesources...). Handles some powers as special cases for improved speed. This pretty much enables Solr to do some pretty cool stuff when it comes to vector calculations. See the tests for how to use. Will add Wiki later. Fun with Distances - Add Distance functions for a variety of things --- Key: SOLR-1302 URL: https://issues.apache.org/jira/browse/SOLR-1302 Project: Solr Issue Type: New Feature Reporter: Grant Ingersoll Assignee: Grant Ingersoll Priority: Minor Fix For: 1.5 Attachments: SOLR-1302.patch, SOLR-1302.patch, SOLR-1302.patch There are many distance functions that are useful to have: 1. Great Circle (lat/lon) and other geo distances 2. Euclidean (Vector) 3. Manhattan (Vector) 4. Cosine (Vector) For the vector ones, the idea is that the fields on a document can be used to determine the vector. -- This message is automatically generated by JIRA. - You can reply to this email to add a comment to the issue online.
[jira] Updated: (SOLR-1302) Fun with Distances - Add Distance functions for a variety of things
[ https://issues.apache.org/jira/browse/SOLR-1302?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Grant Ingersoll updated SOLR-1302: -- Attachment: SOLR-1302.patch Haversine implementation, RadianFunction and DegreeFunction. Also small refactorings in other places to better support doubles to avoid losing precision for as long as possible. Next up: Euclidean and SquaredEuclidean Fun with Distances - Add Distance functions for a variety of things --- Key: SOLR-1302 URL: https://issues.apache.org/jira/browse/SOLR-1302 Project: Solr Issue Type: New Feature Reporter: Grant Ingersoll Assignee: Grant Ingersoll Priority: Minor Fix For: 1.5 Attachments: SOLR-1302.patch There are many distance functions that are useful to have: 1. Great Circle (lat/lon) and other geo distances 2. Euclidean (Vector) 3. Manhattan (Vector) 4. Cosine (Vector) For the vector ones, the idea is that the fields on a document can be used to determine the vector. -- This message is automatically generated by JIRA. - You can reply to this email to add a comment to the issue online.
