Fanoid commented on code in PR #252: URL: https://github.com/apache/flink-ml/pull/252#discussion_r1303866889
########## flink-ml-lib/src/test/java/org/apache/flink/ml/evaluation/BinaryClassificationEvaluatorTest.java: ########## @@ -297,14 +298,20 @@ public void testEvaluateWithMultiScore() { public void testEvaluateWithWeight() { BinaryClassificationEvaluator eval = new BinaryClassificationEvaluator() - .setMetricsNames(BinaryClassificationEvaluatorParams.AREA_UNDER_ROC) + .setMetricsNames( + BinaryClassificationEvaluatorParams.AREA_UNDER_ROC, + BinaryClassificationEvaluatorParams.AREA_UNDER_PR) .setWeightCol("weight"); Table evalResult = eval.transform(inputDataTableWithWeight)[0]; - List<Row> results = IteratorUtils.toList(evalResult.execute().collect()); + Row result = (Row) IteratorUtils.toList(evalResult.execute().collect()).get(0); assertArrayEquals( - new String[] {BinaryClassificationEvaluatorParams.AREA_UNDER_ROC}, + new String[] { + BinaryClassificationEvaluatorParams.AREA_UNDER_ROC, + BinaryClassificationEvaluatorParams.AREA_UNDER_PR + }, evalResult.getResolvedSchema().getColumnNames().toArray()); - assertEquals(EXPECTED_DATA_W, results.get(0).getFieldAs(0), EPS); + assertArrayEquals( + EXPECTED_DATA_W, new double[] {result.getFieldAs(0), result.getFieldAs(1)}, 1e-9); Review Comment: Thanks. I've update this line. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: issues-unsubscr...@flink.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org