Github user takuti commented on a diff in the pull request:
https://github.com/apache/incubator-hivemall/pull/107#discussion_r135449941
--- 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: "
+ + typeInfo[1]);
+ }
+
+ return new Evaluator();
+ }
+
+ public static class Evaluator extends UDAFEvaluatorWithOptions {
+
+ private ObjectInspector actualOI;
+ private ObjectInspector predictedOI;
+ private StructObjectInspector internalMergeOI;
+
+ private StructField tpField;
+ private StructField totalActualField;
+ private StructField totalPredictedField;
+ private StructField betaOptionField;
+ private StructField averageOptionFiled;
+
+ private double beta;
+ private String average;
+
+ public Evaluator() {}
+
+ @Override
+ protected Options getOptions() {
+ Options opts = new Options();
+ opts.addOption("beta", true, "The weight of precision
[default: 1.]");
+ opts.addOption("average", true, "The way of average
calculation [default: micro]");
+ return opts;
+ }
+
+ @Override
+ protected CommandLine processOptions(ObjectInspector[] argOIs)
throws UDFArgumentException {
+ CommandLine cl = null;
+
+ double beta = 1.0d;
+ String average = "micro";
+
+ if (argOIs.length >= 3) {
+ String rawArgs = HiveUtils.getConstString(argOIs[2]);
+ cl = parseOptions(rawArgs);
+
+ beta = Primitives.parseDouble(cl.getOptionValue("beta"),
beta);
+ if (beta <= 0.d) {
+ throw new UDFArgumentException(
+ "The third argument `double beta` must be greater
than 0.0: " + beta);
}
- this.tp += countTp;
- this.totalAcutal += numActual;
- this.totalPredicted += numPredicted;
+
+ average = cl.getOptionValue("average", "micro");
--- End diff --
You can write here as: `average = cl.getOptionValue("average", average);`
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