Examples with ChiSquare org.elasticsearch.search.aggregations.bucket.significant.heuristics.ChiSquare used on opensource projects

Example 6 with ChiSquare

use of org.elasticsearch.search.aggregations.bucket.significant.heuristics.ChiSquare in project elasticsearch by elastic.

the class SignificanceHeuristicTests method testAssertions.

public void testAssertions() throws Exception {
    testBackgroundAssertions(new MutualInformation(true, true), new MutualInformation(true, false));
    testBackgroundAssertions(new ChiSquare(true, true), new ChiSquare(true, false));
    testBackgroundAssertions(new GND(true), new GND(false));
    testAssertions(new PercentageScore());
    testAssertions(new JLHScore());
}

Example 7 with ChiSquare

use of org.elasticsearch.search.aggregations.bucket.significant.heuristics.ChiSquare in project elasticsearch by elastic.

the class SignificantTermsIT method testTextAnalysisChiSquare.

public void testTextAnalysisChiSquare() throws Exception {
    SearchResponse response = client().prepareSearch("test").setSearchType(SearchType.QUERY_THEN_FETCH).setQuery(new TermQueryBuilder("description", "terje")).setFrom(0).setSize(60).setExplain(true).addAggregation(significantTerms("mySignificantTerms").field("description").executionHint(randomExecutionHint()).significanceHeuristic(new ChiSquare(false, true)).minDocCount(2)).execute().actionGet();
    assertSearchResponse(response);
    SignificantTerms topTerms = response.getAggregations().get("mySignificantTerms");
    checkExpectedStringTermsFound(topTerms);
}

Example 8 with ChiSquare

use of org.elasticsearch.search.aggregations.bucket.significant.heuristics.ChiSquare in project elasticsearch by elastic.

the class SignificantTermsSignificanceScoreIT method testBackgroundVsSeparateSet.

public void testBackgroundVsSeparateSet() throws Exception {
    String type = randomBoolean() ? "text" : "long";
    String settings = "{\"index.number_of_shards\": 1, \"index.number_of_replicas\": 0}";
    SharedSignificantTermsTestMethods.index01Docs(type, settings, this);
    testBackgroundVsSeparateSet(new MutualInformation(true, true), new MutualInformation(true, false));
    testBackgroundVsSeparateSet(new ChiSquare(true, true), new ChiSquare(true, false));
    testBackgroundVsSeparateSet(new GND(true), new GND(false));
}