You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@lucene.apache.org by jb...@apache.org on 2019/10/09 20:44:24 UTC
[lucene-solr] branch SOLR-13105-visual updated: SOLR-13105: Improve
ml docs 11
This is an automated email from the ASF dual-hosted git repository.
jbernste pushed a commit to branch SOLR-13105-visual
in repository https://gitbox.apache.org/repos/asf/lucene-solr.git
The following commit(s) were added to refs/heads/SOLR-13105-visual by this push:
new 51c74f8 SOLR-13105: Improve ml docs 11
51c74f8 is described below
commit 51c74f8688c1a32a4eb7d32bc97f0121b1b46ec1
Author: Joel Bernstein <jb...@apache.org>
AuthorDate: Wed Oct 9 16:44:16 2019 -0400
SOLR-13105: Improve ml docs 11
---
solr/solr-ref-guide/src/machine-learning.adoc | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/solr/solr-ref-guide/src/machine-learning.adoc b/solr/solr-ref-guide/src/machine-learning.adoc
index 1032b76..adc3311 100644
--- a/solr/solr-ref-guide/src/machine-learning.adoc
+++ b/solr/solr-ref-guide/src/machine-learning.adoc
@@ -761,7 +761,7 @@ that multiple trials can be performed and the best outcome selected.
The `multiKmeans` function runs the k-means clustering algorithm for a given number of trials and selects the
best result based on which trial produces the lowest intra-cluster variance.
-The example below is identical to centroids example except that it uses `multiKmeans` with 100 trials,
+The example below is identical to centroids example except that it uses `multiKmeans` with 15 trials,
rather than a single trial of the `kmeans` function.
[source,text]