private static ProbabilityDistribution getPriorProbabilities(Target target) {
ProbabilityDistribution result = new ProbabilityDistribution();
List<TargetValue> values = target.getTargetValues();
for (TargetValue value : values) {
// "The defaultValue attribute is used only if the optype of the field is continuous"
if (value.getDefaultValue() != null) {
throw new InvalidFeatureException(value);
}
String targetCategory = value.getValue();
Double probability = value.getPriorProbability();
if (targetCategory == null || probability == null) {
continue;
}
result.put(targetCategory, probability);
}
if (result.isEmpty()) {
return null;
}
return result;
}
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 static Object getPredictedDisplayValue(
Object object, DataField dataField, Target target) {
if (object instanceof HasDisplayValue) {
HasDisplayValue hasDisplayValue = TypeUtil.cast(HasDisplayValue.class, object);
return hasDisplayValue.getDisplayValue();
}
object = getPredictedValue(object);
if (target != null) {
TargetValue targetValue = TargetUtil.getTargetValue(target, object);
if (targetValue != null) {
String displayValue = targetValue.getDisplayValue();
if (displayValue != null) {
return displayValue;
}
}
}
OpType opType = dataField.getOpType();
switch (opType) {
case CONTINUOUS:
break;
case CATEGORICAL:
case ORDINAL:
{
Value value = FieldValueUtil.getValidValue(dataField, object);
if (value != null) {
String displayValue = value.getDisplayValue();
if (displayValue != null) {
return displayValue;
}
}
}
break;
default:
throw new UnsupportedFeatureException(dataField, opType);
}
// "If the display value is not specified explicitly, then the raw predicted value is used by
// default"
return object;
}
private static Double getDefaultValue(Target target) {
List<TargetValue> values = target.getTargetValues();
if (values.isEmpty()) {
return null;
} // End if
if (values.size() != 1) {
throw new InvalidFeatureException(target);
}
TargetValue value = values.get(0);
// "The value and priorProbability attributes are used only if the optype of the field is
// categorical or ordinal"
if (value.getValue() != null || value.getPriorProbability() != null) {
throw new InvalidFeatureException(value);
}
return value.getDefaultValue();
}
