@Override
public final Explanation explain(BasicStats stats) {
return Explanation.match(
lambda(stats),
getClass().getSimpleName() + ", computed from: ",
Explanation.match(stats.getDocFreq(), "docFreq"),
Explanation.match(stats.getNumberOfDocuments(), "numberOfDocuments"));
}
@Override
public Explanation explain(LeafReaderContext context, int doc) throws IOException {
Explanation expl = subQueryWeight.explain(context, doc);
if (!expl.isMatch()) {
return expl;
}
// First: Gather explanations for all filters
List<Explanation> filterExplanations = new ArrayList<>();
for (int i = 0; i < filterFunctions.length; ++i) {
Bits docSet =
Lucene.asSequentialAccessBits(
context.reader().maxDoc(), filterWeights[i].scorer(context));
if (docSet.get(doc)) {
FilterFunction filterFunction = filterFunctions[i];
Explanation functionExplanation =
filterFunction.function.getLeafScoreFunction(context).explainScore(doc, expl);
double factor = functionExplanation.getValue();
float sc = CombineFunction.toFloat(factor);
Explanation filterExplanation =
Explanation.match(
sc,
"function score, product of:",
Explanation.match(1.0f, "match filter: " + filterFunction.filter.toString()),
functionExplanation);
filterExplanations.add(filterExplanation);
}
}
if (filterExplanations.size() > 0) {
FiltersFunctionFactorScorer scorer = functionScorer(context);
int actualDoc = scorer.iterator().advance(doc);
assert (actualDoc == doc);
double score = scorer.computeScore(doc, expl.getValue());
Explanation factorExplanation =
Explanation.match(
CombineFunction.toFloat(score),
"function score, score mode ["
+ scoreMode.toString().toLowerCase(Locale.ROOT)
+ "]",
filterExplanations);
expl = combineFunction.explain(expl, factorExplanation, maxBoost);
}
if (minScore != null && minScore > expl.getValue()) {
expl =
Explanation.noMatch(
"Score value is too low, expected at least "
+ minScore
+ " but got "
+ expl.getValue(),
expl);
}
return expl;
}
public Explanation explain(int docBase) throws IOException {
int start = docBase + prevParentDoc + 1; // +1 b/c prevParentDoc is previous parent doc
int end = docBase + parentDoc - 1; // -1 b/c parentDoc is parent doc
return Explanation.match(
score(),
String.format(Locale.ROOT, "Score based on child doc range from %d to %d", start, end));
}
@Override
public Explanation explain(LeafReaderContext context, int doc) throws IOException {
SortedDocValues values = DocValues.getSorted(context.reader(), joinField);
if (values != null) {
int segmentOrd = values.getOrd(doc);
if (segmentOrd != -1) {
BytesRef joinValue = values.lookupOrd(segmentOrd);
return Explanation.match(
queryNorm, "Score based on join value " + joinValue.utf8ToString());
}
}
return Explanation.noMatch("Not a match");
}
@Override
public Explanation explain(LeafReaderContext context, int doc) throws IOException {
SortedDocValues values = DocValues.getSorted(context.reader(), joinField);
if (values != null) {
int segmentOrd = values.getOrd(doc);
if (segmentOrd != -1) {
final float score;
if (globalOrds != null) {
long globalOrd = globalOrds.getGlobalOrds(context.ord).get(segmentOrd);
score = collector.score((int) globalOrd);
} else {
score = collector.score(segmentOrd);
}
BytesRef joinValue = values.lookupOrd(segmentOrd);
return Explanation.match(score, "Score based on join value " + joinValue.utf8ToString());
}
}
return Explanation.noMatch("Not a match");
}
/**
* Explains the score. Returns the name of the model only, since both {@code tfn} and {@code
* lambda} are explained elsewhere.
*/
public Explanation explain(BasicStats stats, float tfn, float lambda) {
return Explanation.match(score(stats, tfn, lambda), getClass().getSimpleName());
}
@Override
public Explanation explainFunction(String valueExpl, double value, double scale) {
return Explanation.match(
(float) evaluate(value, scale), "exp(- " + valueExpl + " * " + -1 * scale + ")");
}
@Override
public Explanation explainFunction(String distanceString, double distanceVal, double scale) {
return Explanation.match((float) distanceVal, "" + distanceVal);
}
