Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/7029#discussion_r33435600
--- Diff: docs/mllib-feature-extraction.md ---
@@ -451,19 +452,20 @@ JavaRDD<LabeledPoint> points =
MLUtils.loadLibSVMFile(sc.sc(),
"data/mllib/sample_libsvm_data.txt").toJavaRDD().cache();
// 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
JavaRDD<LabeledPoint> discretizedData = points.map(
new Function<LabeledPoint, LabeledPoint>() {
@Override
public LabeledPoint call(LabeledPoint lp) {
final double[] discretizedFeatures = new
double[lp.features().size()];
for (int i = 0; i < lp.features().size(); ++i) {
- discretizedFeatures[i] = lp.features().apply(i) / 16;
+ discretizedFeatures[i] = Math.floor(lp.features().apply(i) /
16);
--- End diff --
do not use tab
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