Examples with PrecisionAtK org.opensearch.index.rankeval.PrecisionAtK used on opensource projects

Example 1 with PrecisionAtK

use of org.opensearch.index.rankeval.PrecisionAtK in project OpenSearch by opensearch-project.

the class RequestConvertersTests method testRankEval.

public void testRankEval() throws Exception {
    RankEvalSpec spec = new RankEvalSpec(Collections.singletonList(new RatedRequest("queryId", Collections.emptyList(), new SearchSourceBuilder())), new PrecisionAtK());
    String[] indices = randomIndicesNames(0, 5);
    RankEvalRequest rankEvalRequest = new RankEvalRequest(spec, indices);
    Map<String, String> expectedParams = new HashMap<>();
    setRandomIndicesOptions(rankEvalRequest::indicesOptions, rankEvalRequest::indicesOptions, expectedParams);
    if (randomBoolean()) {
        rankEvalRequest.searchType(randomFrom(SearchType.CURRENTLY_SUPPORTED));
    }
    expectedParams.put("search_type", rankEvalRequest.searchType().name().toLowerCase(Locale.ROOT));
    Request request = RequestConverters.rankEval(rankEvalRequest);
    StringJoiner endpoint = new StringJoiner("/", "/", "");
    String index = String.join(",", indices);
    if (Strings.hasLength(index)) {
        endpoint.add(index);
    }
    endpoint.add(RestRankEvalAction.ENDPOINT);
    assertEquals(endpoint.toString(), request.getEndpoint());
    assertEquals(5, request.getParameters().size());
    assertEquals(expectedParams, request.getParameters());
    assertToXContentBody(spec, request.getEntity());
}

Example 2 with PrecisionAtK

use of org.opensearch.index.rankeval.PrecisionAtK in project OpenSearch by opensearch-project.

the class SearchDocumentationIT method testRankEval.

public void testRankEval() throws Exception {
    indexSearchTestData();
    RestHighLevelClient client = highLevelClient();
    {
        // tag::rank-eval-request-basic
        // <1>
        EvaluationMetric metric = new PrecisionAtK();
        List<RatedDocument> ratedDocs = new ArrayList<>();
        // <2>
        ratedDocs.add(new RatedDocument("posts", "1", 1));
        SearchSourceBuilder searchQuery = new SearchSourceBuilder();
        // <3>
        searchQuery.query(QueryBuilders.matchQuery("user", "foobar"));
        // <4>
        RatedRequest ratedRequest = new RatedRequest("foobar_query", ratedDocs, searchQuery);
        List<RatedRequest> ratedRequests = Arrays.asList(ratedRequest);
        RankEvalSpec specification = // <5>
        new RankEvalSpec(ratedRequests, metric);
        // <6>
        RankEvalRequest request = new RankEvalRequest(specification, new String[] { "posts" });
        // end::rank-eval-request-basic
        // tag::rank-eval-execute
        RankEvalResponse response = client.rankEval(request, RequestOptions.DEFAULT);
        // end::rank-eval-execute
        // tag::rank-eval-response
        // <1>
        double evaluationResult = response.getMetricScore();
        assertEquals(1.0 / 3.0, evaluationResult, 0.0);
        Map<String, EvalQueryQuality> partialResults = response.getPartialResults();
        EvalQueryQuality evalQuality = // <2>
        partialResults.get("foobar_query");
        assertEquals("foobar_query", evalQuality.getId());
        // <3>
        double qualityLevel = evalQuality.metricScore();
        assertEquals(1.0 / 3.0, qualityLevel, 0.0);
        List<RatedSearchHit> hitsAndRatings = evalQuality.getHitsAndRatings();
        RatedSearchHit ratedSearchHit = hitsAndRatings.get(2);
        // <4>
        assertEquals("3", ratedSearchHit.getSearchHit().getId());
        // <5>
        assertFalse(ratedSearchHit.getRating().isPresent());
        MetricDetail metricDetails = evalQuality.getMetricDetails();
        String metricName = metricDetails.getMetricName();
        // <6>
        assertEquals(PrecisionAtK.NAME, metricName);
        PrecisionAtK.Detail detail = (PrecisionAtK.Detail) metricDetails;
        // <7>
        assertEquals(1, detail.getRelevantRetrieved());
        assertEquals(3, detail.getRetrieved());
        // end::rank-eval-response
        // tag::rank-eval-execute-listener
        ActionListener<RankEvalResponse> listener = new ActionListener<RankEvalResponse>() {

            @Override
            public void onResponse(RankEvalResponse response) {
            // <1>
            }

            @Override
            public void onFailure(Exception e) {
            // <2>
            }
        };
        // end::rank-eval-execute-listener
        // Replace the empty listener by a blocking listener in test
        final CountDownLatch latch = new CountDownLatch(1);
        listener = new LatchedActionListener<>(listener, latch);
        // tag::rank-eval-execute-async
        // <1>
        client.rankEvalAsync(request, RequestOptions.DEFAULT, listener);
        // end::rank-eval-execute-async
        assertTrue(latch.await(30L, TimeUnit.SECONDS));
    }
}

Example 3 with PrecisionAtK

use of org.opensearch.index.rankeval.PrecisionAtK in project OpenSearch by opensearch-project.

the class RankEvalIT method testMetrics.

/**
 * Test case checks that the default metrics are registered and usable
 */
public void testMetrics() throws IOException {
    List<RatedRequest> specifications = createTestEvaluationSpec();
    List<Supplier<EvaluationMetric>> metrics = Arrays.asList(PrecisionAtK::new, RecallAtK::new, MeanReciprocalRank::new, DiscountedCumulativeGain::new, () -> new ExpectedReciprocalRank(1));
    double[] expectedScores = new double[] { 0.4285714285714286, 1.0, 0.75, 1.6408962261063627, 0.4407738095238095 };
    int i = 0;
    for (Supplier<EvaluationMetric> metricSupplier : metrics) {
        RankEvalSpec spec = new RankEvalSpec(specifications, metricSupplier.get());
        RankEvalRequest rankEvalRequest = new RankEvalRequest(spec, new String[] { "index", "index2" });
        RankEvalResponse response = execute(rankEvalRequest, highLevelClient()::rankEval, highLevelClient()::rankEvalAsync);
        assertEquals(expectedScores[i], response.getMetricScore(), Double.MIN_VALUE);
        i++;
    }
}

Example 4 with PrecisionAtK

use of org.opensearch.index.rankeval.PrecisionAtK in project OpenSearch by opensearch-project.

the class RankEvalIT method testRankEvalRequest.

/**
 * Test cases retrieves all six documents indexed above and checks the Prec@10
 * calculation where all unlabeled documents are treated as not relevant.
 */
public void testRankEvalRequest() throws IOException {
    List<RatedRequest> specifications = createTestEvaluationSpec();
    PrecisionAtK metric = new PrecisionAtK(1, false, 10);
    RankEvalSpec spec = new RankEvalSpec(specifications, metric);
    RankEvalRequest rankEvalRequest = new RankEvalRequest(spec, new String[] { "index", "index2" });
    RankEvalResponse response = execute(rankEvalRequest, highLevelClient()::rankEval, highLevelClient()::rankEvalAsync);
    // the expected Prec@ for the first query is 5/7 and the expected Prec@ for the second is 1/7, divided by 2 to get the average
    double expectedPrecision = (1.0 / 7.0 + 5.0 / 7.0) / 2.0;
    assertEquals(expectedPrecision, response.getMetricScore(), Double.MIN_VALUE);
    Map<String, EvalQueryQuality> partialResults = response.getPartialResults();
    assertEquals(2, partialResults.size());
    EvalQueryQuality amsterdamQueryQuality = partialResults.get("amsterdam_query");
    assertEquals(2, filterUnratedDocuments(amsterdamQueryQuality.getHitsAndRatings()).size());
    List<RatedSearchHit> hitsAndRatings = amsterdamQueryQuality.getHitsAndRatings();
    assertEquals(7, hitsAndRatings.size());
    for (RatedSearchHit hit : hitsAndRatings) {
        String id = hit.getSearchHit().getId();
        if (id.equals("berlin") || id.equals("amsterdam5")) {
            assertFalse(hit.getRating().isPresent());
        } else {
            assertEquals(1, hit.getRating().getAsInt());
        }
    }
    EvalQueryQuality berlinQueryQuality = partialResults.get("berlin_query");
    assertEquals(6, filterUnratedDocuments(berlinQueryQuality.getHitsAndRatings()).size());
    hitsAndRatings = berlinQueryQuality.getHitsAndRatings();
    assertEquals(7, hitsAndRatings.size());
    for (RatedSearchHit hit : hitsAndRatings) {
        String id = hit.getSearchHit().getId();
        if (id.equals("berlin")) {
            assertEquals(1, hit.getRating().getAsInt());
        } else {
            assertFalse(hit.getRating().isPresent());
        }
    }
    // now try this when test2 is closed
    client().performRequest(new Request("POST", "index2/_close"));
    rankEvalRequest.indicesOptions(IndicesOptions.fromParameters(null, "true", null, "false", SearchRequest.DEFAULT_INDICES_OPTIONS));
    response = execute(rankEvalRequest, highLevelClient()::rankEval, highLevelClient()::rankEvalAsync);
}