Github user takuti commented on a diff in the pull request: https://github.com/apache/incubator-hivemall/pull/107#discussion_r135447663 --- Diff: core/src/main/java/hivemall/evaluation/FMeasureUDAF.java --- @@ -18,118 +18,387 @@ */ package hivemall.evaluation; -import hivemall.utils.hadoop.WritableUtils; +import hivemall.UDAFEvaluatorWithOptions; +import hivemall.utils.hadoop.HiveUtils; +import java.util.ArrayList; +import java.util.Arrays; +import java.util.Collections; import java.util.List; +import hivemall.utils.lang.Primitives; +import org.apache.commons.cli.CommandLine; +import org.apache.commons.cli.Options; + import org.apache.hadoop.hive.ql.exec.Description; -import org.apache.hadoop.hive.ql.exec.UDAF; -import org.apache.hadoop.hive.ql.exec.UDAFEvaluator; +import org.apache.hadoop.hive.ql.exec.UDFArgumentTypeException; +import org.apache.hadoop.hive.ql.exec.UDFArgumentException; +import org.apache.hadoop.hive.ql.metadata.HiveException; +import org.apache.hadoop.hive.ql.parse.SemanticException; +import org.apache.hadoop.hive.ql.udf.generic.AbstractGenericUDAFResolver; +import org.apache.hadoop.hive.ql.udf.generic.GenericUDAFEvaluator; import org.apache.hadoop.hive.serde2.io.DoubleWritable; -import org.apache.hadoop.io.IntWritable; - -@SuppressWarnings("deprecation") -@Description(name = "f1score", - value = "_FUNC_(array[int], array[int]) - Return a F-measure/F1 score") -public final class FMeasureUDAF extends UDAF { - - public static class Evaluator implements UDAFEvaluator { - - public static class PartialResult { - long tp; - /** tp + fn */ - long totalAcutal; - /** tp + fp */ - long totalPredicted; - - PartialResult() { - this.tp = 0L; - this.totalPredicted = 0L; - this.totalAcutal = 0L; - } +import org.apache.hadoop.hive.serde2.objectinspector.*; +import org.apache.hadoop.hive.serde2.objectinspector.primitive.BooleanObjectInspector; +import org.apache.hadoop.hive.serde2.objectinspector.primitive.PrimitiveObjectInspectorFactory; +import org.apache.hadoop.hive.serde2.objectinspector.primitive.IntObjectInspector; +import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo; +import org.apache.hadoop.io.LongWritable; - void updateScore(final List<IntWritable> actual, final List<IntWritable> predicted) { - final int numActual = actual.size(); - final int numPredicted = predicted.size(); - int countTp = 0; - for (int i = 0; i < numPredicted; i++) { - IntWritable p = predicted.get(i); - if (actual.contains(p)) { - countTp++; - } +import javax.annotation.Nonnull; + +@Description( + name = "fmeasure", + value = "_FUNC_(array | int | boolean actual , array | int | boolean predicted, String) - Return a F-measure (f1score is the special with beta=1.)") +public final class FMeasureUDAF extends AbstractGenericUDAFResolver { + @Override + public GenericUDAFEvaluator getEvaluator(@Nonnull TypeInfo[] typeInfo) throws SemanticException { + if (typeInfo.length != 2 && typeInfo.length != 3) { + throw new UDFArgumentTypeException(typeInfo.length - 1, + "_FUNC_ takes two or three arguments"); + } + + boolean isArg1ListOrIntOrBoolean = HiveUtils.isListTypeInfo(typeInfo[0]) + || HiveUtils.isIntegerTypeInfo(typeInfo[0]) + || HiveUtils.isBooleanTypeInfo(typeInfo[0]); + if (!isArg1ListOrIntOrBoolean) { + throw new UDFArgumentTypeException(0, + "The first argument `array/int/boolean actual` is invalid form: " + typeInfo[0]); + } + + boolean isArg2ListOrIntOrBoolean = HiveUtils.isListTypeInfo(typeInfo[1]) + || HiveUtils.isIntegerTypeInfo(typeInfo[1]) + || HiveUtils.isBooleanTypeInfo(typeInfo[1]); + if (!isArg2ListOrIntOrBoolean) { + throw new UDFArgumentTypeException(1, + "The second argument `array/int/boolean actual` is invalid form: " + typeInfo[1]); + } + + if (typeInfo[0] != typeInfo[1]) { + throw new UDFArgumentTypeException(1, "The first argument's `actual` type is " + + typeInfo[0] + ", but the second argument `predicated`'s type is not match: " --- End diff -- Typo: `predicated` => `predicted`
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