Examples with Explanation org.apache.lucene.search.Explanation used on opensource projects

Example 51 with Explanation

use of org.apache.lucene.search.Explanation in project elasticsearch by elastic.

the class RandomScoreFunction method getLeafScoreFunction.

@Override
public LeafScoreFunction getLeafScoreFunction(LeafReaderContext ctx) {
    AtomicFieldData leafData = uidFieldData.load(ctx);
    final SortedBinaryDocValues uidByteData = leafData.getBytesValues();
    if (uidByteData == null)
        throw new NullPointerException("failed to get uid byte data");
    return new LeafScoreFunction() {

        @Override
        public double score(int docId, float subQueryScore) {
            uidByteData.setDocument(docId);
            int hash = StringHelper.murmurhash3_x86_32(uidByteData.valueAt(0), saltedSeed);
            // only use the lower 24 bits to construct a float from 0.0-1.0
            return (hash & 0x00FFFFFF) / (float) (1 << 24);
        }

        @Override
        public Explanation explainScore(int docId, Explanation subQueryScore) {
            return Explanation.match(CombineFunction.toFloat(score(docId, subQueryScore.getValue())), "random score function (seed: " + originalSeed + ")");
        }
    };
}

Example 52 with Explanation

use of org.apache.lucene.search.Explanation in project elasticsearch by elastic.

the class FieldValueFactorFunction method getLeafScoreFunction.

@Override
public LeafScoreFunction getLeafScoreFunction(LeafReaderContext ctx) {
    final SortedNumericDoubleValues values;
    if (indexFieldData == null) {
        values = FieldData.emptySortedNumericDoubles(ctx.reader().maxDoc());
    } else {
        values = this.indexFieldData.load(ctx).getDoubleValues();
    }
    return new LeafScoreFunction() {

        @Override
        public double score(int docId, float subQueryScore) {
            values.setDocument(docId);
            final int numValues = values.count();
            double value;
            if (numValues > 0) {
                value = values.valueAt(0);
            } else if (missing != null) {
                value = missing;
            } else {
                throw new ElasticsearchException("Missing value for field [" + field + "]");
            }
            double val = value * boostFactor;
            double result = modifier.apply(val);
            if (Double.isNaN(result) || Double.isInfinite(result)) {
                throw new ElasticsearchException("Result of field modification [" + modifier.toString() + "(" + val + ")] must be a number");
            }
            return result;
        }

        @Override
        public Explanation explainScore(int docId, Explanation subQueryScore) {
            String modifierStr = modifier != null ? modifier.toString() : "";
            String defaultStr = missing != null ? "?:" + missing : "";
            double score = score(docId, subQueryScore.getValue());
            return Explanation.match(CombineFunction.toFloat(score), String.format(Locale.ROOT, "field value function: %s(doc['%s'].value%s * factor=%s)", modifierStr, field, defaultStr, boostFactor));
        }
    };
}

Example 53 with Explanation

use of org.apache.lucene.search.Explanation in project elasticsearch by elastic.

the class FunctionScoreTests method getFunctionScoreExplanation.

public Explanation getFunctionScoreExplanation(IndexSearcher searcher, ScoreFunction scoreFunction) throws IOException {
    FunctionScoreQuery functionScoreQuery = new FunctionScoreQuery(new TermQuery(TERM), scoreFunction, 0.0f, CombineFunction.AVG, 100);
    Weight weight = searcher.createNormalizedWeight(functionScoreQuery, true);
    Explanation explanation = weight.explain(searcher.getIndexReader().leaves().get(0), 0);
    return explanation.getDetails()[1];
}

Example 54 with Explanation

use of org.apache.lucene.search.Explanation in project elasticsearch by elastic.

the class FunctionScoreTests method checkFiltersFunctionScoreExplanation.

public void checkFiltersFunctionScoreExplanation(Explanation randomExplanation, String functionExpl, int whichFunction) {
    assertThat(randomExplanation.getDescription(), equalTo("min of:"));
    Explanation explanation = randomExplanation.getDetails()[0];
    assertThat(explanation.getDescription(), equalTo("function score, score mode [avg]"));
    Explanation functionExplanation = randomExplanation.getDetails()[0].getDetails()[whichFunction];
    assertThat(functionExplanation.getDescription(), equalTo("function score, product of:"));
    assertThat(functionExplanation.getDetails()[0].getDescription(), equalTo("match filter: " + FIELD + ":" + TERM.text()));
    assertThat(functionExplanation.getDetails()[1].getDescription(), equalTo(functionExpl));
}

Example 55 with Explanation

use of org.apache.lucene.search.Explanation in project elasticsearch by elastic.

the class FunctionScoreTests method testExplainFunctionScoreQuery.

public void testExplainFunctionScoreQuery() throws IOException {
    Explanation functionExplanation = getFunctionScoreExplanation(searcher, RANDOM_SCORE_FUNCTION);
    checkFunctionScoreExplanation(functionExplanation, "random score function (seed: 0)");
    assertThat(functionExplanation.getDetails()[0].getDetails().length, equalTo(0));
    functionExplanation = getFunctionScoreExplanation(searcher, FIELD_VALUE_FACTOR_FUNCTION);
    checkFunctionScoreExplanation(functionExplanation, "field value function: ln(doc['test'].value?:1.0 * factor=1.0)");
    assertThat(functionExplanation.getDetails()[0].getDetails().length, equalTo(0));
    functionExplanation = getFunctionScoreExplanation(searcher, GAUSS_DECAY_FUNCTION);
    checkFunctionScoreExplanation(functionExplanation, "Function for field test:");
    assertThat(functionExplanation.getDetails()[0].getDetails()[0].toString(), equalTo("0.1 = exp(-0.5*pow(MAX[Math.max(Math.abs" + "(1.0(=doc value) - 0.0(=origin))) - 0.0(=offset), 0)],2.0)/0.21714724095162594)\n"));
    assertThat(functionExplanation.getDetails()[0].getDetails()[0].getDetails().length, equalTo(0));
    functionExplanation = getFunctionScoreExplanation(searcher, EXP_DECAY_FUNCTION);
    checkFunctionScoreExplanation(functionExplanation, "Function for field test:");
    assertThat(functionExplanation.getDetails()[0].getDetails()[0].toString(), equalTo("0.1 = exp(- MAX[Math.max(Math.abs(1.0(=doc value) - 0.0(=origin))) - 0.0(=offset), 0)] * 2.3025850929940455)\n"));
    assertThat(functionExplanation.getDetails()[0].getDetails()[0].getDetails().length, equalTo(0));
    functionExplanation = getFunctionScoreExplanation(searcher, LIN_DECAY_FUNCTION);
    checkFunctionScoreExplanation(functionExplanation, "Function for field test:");
    assertThat(functionExplanation.getDetails()[0].getDetails()[0].toString(), equalTo("0.1 = max(0.0, ((1.1111111111111112" + " - MAX[Math.max(Math.abs(1.0(=doc value) - 0.0(=origin))) - 0.0(=offset), 0)])/1.1111111111111112)\n"));
    assertThat(functionExplanation.getDetails()[0].getDetails()[0].getDetails().length, equalTo(0));
    functionExplanation = getFunctionScoreExplanation(searcher, WEIGHT_FACTOR_FUNCTION);
    checkFunctionScoreExplanation(functionExplanation, "product of:");
    assertThat(functionExplanation.getDetails()[0].getDetails()[0].toString(), equalTo("1.0 = constant score 1.0 - no function provided\n"));
    assertThat(functionExplanation.getDetails()[0].getDetails()[1].toString(), equalTo("4.0 = weight\n"));
    assertThat(functionExplanation.getDetails()[0].getDetails()[0].getDetails().length, equalTo(0));
    assertThat(functionExplanation.getDetails()[0].getDetails()[1].getDetails().length, equalTo(0));
}