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Posted to commits@lucene.apache.org by jb...@apache.org on 2019/08/21 01:59:08 UTC
[lucene-solr] branch SOLR-13105-visual updated: SOLR-13105:
Continued timeseries viz docs10
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 666da42 SOLR-13105: Continued timeseries viz docs10
666da42 is described below
commit 666da42475fdb91a6c4f538d332aabaace851729
Author: Joel Bernstein <jb...@apache.org>
AuthorDate: Tue Aug 20 21:59:02 2019 -0400
SOLR-13105: Continued timeseries viz docs10
---
solr/solr-ref-guide/src/time-series.adoc | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/solr/solr-ref-guide/src/time-series.adoc b/solr/solr-ref-guide/src/time-series.adoc
index a7834fd..d62007b 100644
--- a/solr/solr-ref-guide/src/time-series.adoc
+++ b/solr/solr-ref-guide/src/time-series.adoc
@@ -292,7 +292,7 @@ The example below uses the `polyfit` function (polynomial regression) to
fit a non-linear model to a time series. The data set being used is the
monthly average closing price for Amazon over an eight year period.
-In this example the `polyfit` function returns a fitted model of the *y*
+In this example the `polyfit` function returns a fitted model for the *y*
axis, which is the average monthly closing prices, using a 4 degree polynomial.
The degree of the polynomial determines the number of curves in the
model. The fitted model is set to the variable *y1*. The fitted model