Commit Graph

7 Commits

Author SHA1 Message Date
markharwood 1e560b0d92 Significant_terms agg: added option for a background_filter to define background context for analysis of term frequencies
Closes #5944
2014-05-13 09:10:30 +01:00
Clinton Gormley 5b93255ec8 [DOCS] Added "Aggregation" to all aggs titles 2014-05-13 01:35:58 +02:00
Britta Weber 7944369fd1 Add `shard_min_doc_count` parameter for significant terms similar to `shard_size`
Significant terms internally maintain a priority queue per shard with a size potentially
lower than the number of terms. This queue uses the score as criterion to determine if
a bucket is kept or not. If many terms with low subsetDF score very high
but the `min_doc_count` is set high, this might result in no terms being
returned because the pq is filled with low frequent terms which are all sorted
out in the end.

This can be avoided by increasing the `shard_size` parameter to a higher value.
However, it is not immediately clear to which value this parameter must be set
because we can not know how many terms with low frequency are scored higher that
the high frequent terms that we are actually interested in.

On the other hand, if there is no routing of docs to shards involved, we can maybe
assume that the documents of classes and also the terms therein are distributed evenly
across shards. In that case it might be easier to not add documents to the pq that have
subsetDF <= `shard_min_doc_count` which can be set to something like
`min_doc_count`/number of shards  because we would assume that even when summing up
the subsetDF across shards `min_doc_count` will not be reached.

closes #5998
closes #6041
2014-05-07 18:02:56 +02:00
bleskes 5d832374dd Update Documentation Feature Flags [1.1.0] 2014-03-25 17:51:30 +01:00
markharwood 5f1d9af9fe Documentation fix for significant_terms heading levels 2014-03-17 12:17:54 +00:00
Boaz Leskes ee8743f3f2 [Docs] added a missing reference to significantterms-aggergations
Also fix header level mismatch issue reported by the build
2014-03-17 11:45:55 +01:00
markharwood 767bef0596 Significant_terms aggregation identifies terms that are significant rather than merely popular in a set.
Significance is related to the changes in document frequency observed between everyday use in the corpus and
frequency observed in the result set. The asciidocs include extensive details on the applications of this feature.

Closes #5146
2014-03-14 10:34:24 +00:00