lindong28 commented on code in PR #219:
URL: https://github.com/apache/flink-ml/pull/219#discussion_r1136518106
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flink-ml-lib/src/test/java/org/apache/flink/ml/classification/LogisticRegressionTest.java:
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@@ -253,6 +255,25 @@ public void testSaveLoadAndPredict() throws Exception {
logisticRegression.getRawPredictionCol());
}
+ @Test
+ public void testSaveLoadServable() throws Exception {
+ LogisticRegression logisticRegression = new
LogisticRegression().setWeightCol("weight");
+ LogisticRegressionModel model =
logisticRegression.fit(binomialDataTable);
+
+ LogisticRegressionModelServable servable =
+ saveAndLoadServable(
+ tEnv,
+ model,
+ tempFolder.newFolder().getAbsolutePath(),
+ LogisticRegressionModel::loadServable);
+
+ assertEquals("features", servable.getFeaturesCol());
+ assertEquals("prediction", servable.getPredictionCol());
+ assertEquals("rawPrediction", servable.getRawPredictionCol());
+
+ assertArrayEquals(expectedCoefficient,
servable.getCoefficient().values, 0.1);
Review Comment:
`LogisticRegressionModelServableTest#testTransform` does not save/load
servable.
We need to have a test that shows that we can save/load servable and use the
loaded servable for online prediction, similar to why we have both
`LogisticRegressionTest#testFitAndPredict` and
`LogisticRegressionTest#testSaveLoadAndPredict`.
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