Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/6127#discussion_r30862756
--- Diff:
mllib/src/test/java/org/apache/spark/ml/feature/JavaHashingTFSuite.java ---
@@ -63,17 +63,22 @@ public void hashingTF() {
new StructField("label", DataTypes.DoubleType, false,
Metadata.empty()),
new StructField("sentence", DataTypes.StringType, false,
Metadata.empty())
});
- DataFrame sentenceDataFrame = jsql.createDataFrame(jrdd, schema);
- Tokenizer tokenizer = new
Tokenizer().setInputCol("sentence").setOutputCol("words");
- DataFrame wordsDataFrame = tokenizer.transform(sentenceDataFrame);
+ DataFrame sentenceData = jsql.createDataFrame(jrdd, schema);
+ Tokenizer tokenizer = new Tokenizer()
+ .setInputCol("sentence")
+ .setOutputCol("words");
+ DataFrame wordsData = tokenizer.transform(sentenceData);
int numFeatures = 20;
HashingTF hashingTF = new HashingTF()
.setInputCol("words")
- .setOutputCol("features")
+ .setOutputCol("rawFeatures")
.setNumFeatures(numFeatures);
- DataFrame featurized = hashingTF.transform(wordsDataFrame);
- for (Row r : featurized.select("features", "words", "label").take(3)) {
+ DataFrame featurizedData = hashingTF.transform(wordsData);
+ IDF idf = new
IDF().setInputCol("rawFeatures").setOutputCol("features");
+ IDFModel idfModel = idf.fit(featurizedData);
+ DataFrame rescaledData = idfModel.transform(featurizedData);
+ for (Row r : rescaledData.select("features", "label").take(3)) {
--- End diff --
`take(3)` -> `collect()`?
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