This is an automated email from the ASF dual-hosted git repository. dweiss pushed a commit to branch jira/solr-13105-toMerge in repository https://gitbox.apache.org/repos/asf/solr.git
commit a13e6671323bff5e6ecd88c30443ba29fe4b1e96 Author: Cassandra Targett <[email protected]> AuthorDate: Fri Jan 15 15:50:42 2021 -0600 Add CHANGES.txt entry; a little more copy editing --- solr/CHANGES.txt | 2 ++ solr/solr-ref-guide/src/statistics.adoc | 6 +++--- 2 files changed, 5 insertions(+), 3 deletions(-) diff --git a/solr/CHANGES.txt b/solr/CHANGES.txt index 7c8a26f..819b7eb 100644 --- a/solr/CHANGES.txt +++ b/solr/CHANGES.txt @@ -352,6 +352,8 @@ Other Changes * SOLR-15010: Thread dump using jattach if available and jstack is missing. (Eric Pugh) +* SOLR-13105: Add Visual Guide to Math Expressions to the Ref Guide (Joel Bernstein, Cassandra Targett) + ================== 8.7.0 ================== Consult the lucene/CHANGES.txt file for additional, low level, changes in this release. diff --git a/solr/solr-ref-guide/src/statistics.adoc b/solr/solr-ref-guide/src/statistics.adoc index 759d995..7bee9cc 100644 --- a/solr/solr-ref-guide/src/statistics.adoc +++ b/solr/solr-ref-guide/src/statistics.adoc @@ -404,7 +404,7 @@ function call. In the example below a random sample containing two fields, `filesize_d` and `response_d`, is drawn from the logs collection using the `random` function. The fields are vectorized into the -variables *x* and *y* and then *Spearman's* correlation for +variables `x` and `y` and then *Spearman's* correlation for the two vectors is calculated using the `corr` function. image::images/math-expressions/correlation.png[] @@ -439,7 +439,7 @@ Finally the `zplot` function is used to plot the correlation matrix as a heat ma image::images/math-expressions/corrmatrix.png[] Notice in the example the correlation matrix is square with complaint types shown on both -the *x* and y-axises. The color of the cells in the heat map shows the +the x- and y-axes. The color of the cells in the heat map shows the intensity of the correlation between the complaint types. The heat map is interactive, so mousing over one of the cells pops up the values @@ -458,7 +458,7 @@ The `cov` function calculates the covariance of two vectors of data. In the example below a random sample containing two fields, `filesize_d` and `response_d`, is drawn from the logs collection using the `random` function. The fields are vectorized into the -variables *x* and *y* and then the covariance for +variables `x` and `y` and then the covariance for the two vectors is calculated using the `cov` function. image::images/math-expressions/covariance.png[]
