honeymoose
/
OpenSearch
mirror of https://github.com/honeymoose/OpenSearch.git
1
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity

Fixed typo in documentation (#23406) 

* Fixed typo in documentation

The option in "gap_policy" "insert_zeros" was missing a trailing "s"

* Update movavg-aggregation.asciidoc
This commit is contained in:
msancho 2017-03-01 14:21:54 +00:00 committed by Clinton Gormley
parent c54fa177ef
commit a37c759ba2
1 changed files with 2 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

4
docs/reference/aggregations/pipeline/movavg-aggregation.asciidoc
View File

@ -27,7 +27,7 @@ A `moving_avg` aggregation looks like this in isolation:
"buckets_path": "the_sum", "buckets_path": "the_sum",
"model": "holt", "model": "holt",
"window": 5, "window": 5,
"gap_policy": "insert_zero", "gap_policy": "insert_zeros",
"settings": { "settings": {
"alpha": 0.8 "alpha": 0.8
} }
@ -40,7 +40,7 @@ A `moving_avg` aggregation looks like this in isolation:
|Parameter Name |Description |Required |Default Value |Parameter Name |Description |Required |Default Value
|`buckets_path` |Path to the metric of interest (see <<buckets-path-syntax, `buckets_path` Syntax>> for more details |Required | |`buckets_path` |Path to the metric of interest (see <<buckets-path-syntax, `buckets_path` Syntax>> for more details |Required |
|`model` |The moving average weighting model that we wish to use |Optional |`simple` |`model` |The moving average weighting model that we wish to use |Optional |`simple`
|`gap_policy` |Determines what should happen when a gap in the data is encountered. |Optional |`insert_zero` |`gap_policy` |Determines what should happen when a gap in the data is encountered. |Optional |`insert_zeros`
|`window` |The size of window to "slide" across the histogram. |Optional |`5` |`window` |The size of window to "slide" across the histogram. |Optional |`5`
|`minimize` |If the model should be algorithmically minimized. See <<movavg-minimizer, Minimization>> for more |`minimize` |If the model should be algorithmically minimized. See <<movavg-minimizer, Minimization>> for more
details |Optional |`false` for most models details |Optional |`false` for most models