public static TargetValue getTargetValue(Target target, Object value) {
DataType dataType = TypeUtil.getDataType(value);
List<TargetValue> targetValues = target.getTargetValues();
for (TargetValue targetValue : targetValues) {
if (TypeUtil.equals(
dataType, value, TypeUtil.parseOrCast(dataType, targetValue.getValue()))) {
return targetValue;
}
}
return null;
}
private Map<FieldName, ?> evaluateRegression(ModelEvaluationContext context) {
Trail trail = new Trail();
Node node = evaluateTree(trail, context);
if (node == null) {
return TargetUtil.evaluateRegressionDefault(context);
}
Double score = (Double) TypeUtil.parseOrCast(DataType.DOUBLE, node.getScore());
TargetField targetField = getTargetField();
NodeScore nodeScore =
createNodeScore(node, TargetUtil.evaluateRegressionInternal(targetField, score, context));
return Collections.singletonMap(targetField.getName(), nodeScore);
}
private static Double evaluate(Collection<?> values, int quantile) {
List<Double> doubleValues = new ArrayList<>();
for (Object value : values) {
Double doubleValue = (Double) TypeUtil.parseOrCast(DataType.DOUBLE, value);
doubleValues.add(doubleValue);
}
double[] data = Doubles.toArray(doubleValues);
// The data must be (at least partially) ordered
Arrays.sort(data);
Percentile percentile = new Percentile();
percentile.setData(data);
return percentile.evaluate(quantile);
}
