Github user yinxusen commented on a diff in the pull request:
https://github.com/apache/spark/pull/10002#discussion_r46079548
--- Diff: docs/ml-features.md ---
@@ -1800,40 +887,7 @@ println(output.select("userFeatures",
"features").first())
Refer to the [VectorSlicer Java
docs](api/java/org/apache/spark/ml/feature/VectorSlicer.html)
for more details on the API.
-{% highlight java %}
-import java.util.Arrays;
-
-import org.apache.spark.api.java.JavaRDD;
-import org.apache.spark.mllib.linalg.Vectors;
-import org.apache.spark.sql.DataFrame;
-import org.apache.spark.sql.Row;
-import org.apache.spark.sql.RowFactory;
-import org.apache.spark.sql.types.*;
-import static org.apache.spark.sql.types.DataTypes.*;
-
-Attribute[] attrs = new Attribute[]{
- NumericAttribute.defaultAttr().withName("f1"),
- NumericAttribute.defaultAttr().withName("f2"),
- NumericAttribute.defaultAttr().withName("f3")
-};
-AttributeGroup group = new AttributeGroup("userFeatures", attrs);
-
-JavaRDD<Row> jrdd = jsc.parallelize(Lists.newArrayList(
- RowFactory.create(Vectors.sparse(3, new int[]{0, 1}, new double[]{-2.0,
2.3})),
- RowFactory.create(Vectors.dense(-2.0, 2.3, 0.0))
-));
-
-DataFrame dataset = jsql.createDataFrame(jrdd, (new
StructType()).add(group.toStructField()));
-
-VectorSlicer vectorSlicer = new VectorSlicer()
- .setInputCol("userFeatures").setOutputCol("features");
-
-vectorSlicer.setIndices(new int[]{1}).setNames(new String[]{"f3"});
-// or slicer.setIndices(new int[]{1, 2}), or slicer.setNames(new
String[]{"f2", "f3"})
-
-DataFrame output = vectorSlicer.transform(dataset);
-
-System.out.println(output.select("userFeatures", "features").first());
+{% include_example
java/org/apache/spark/examples/ml/JavaVectorSlicerExample.java %}
{% endhighlight %}
--- End diff --
remove this line
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