Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/7029#discussion_r33435597
--- Diff: docs/mllib-feature-extraction.md ---
@@ -419,10 +419,11 @@ import org.apache.spark.mllib.feature.ChiSqSelector
// Load some data in libsvm format
val data = MLUtils.loadLibSVMFile(sc, "data/mllib/sample_libsvm_data.txt")
// Discretize data in 16 equal bins since ChiSqSelector requires
categorical features
+// Even though features are doubles, the ChiSqSelector treats each unique
value as a category
val discretizedData = data.map { lp =>
- LabeledPoint(lp.label, Vectors.dense(lp.features.toArray.map { x => x /
16 } ) )
+ LabeledPoint(lp.label, Vectors.dense(lp.features.toArray.map { x => (x /
16).floor } ) )
}
-// Create ChiSqSelector that will select 50 features
+// Create ChiSqSelector that will select top 50 of 692 features
--- End diff --
remove the extra space after 50
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