Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/1673#discussion_r15660481
--- Diff:
examples/src/main/scala/org/apache/spark/examples/mllib/DecisionTreeRunner.scala
---
@@ -69,25 +73,32 @@ object DecisionTreeRunner {
opt[Int]("maxDepth")
.text(s"max depth of the tree, default: ${defaultParams.maxDepth}")
.action((x, c) => c.copy(maxDepth = x))
- opt[Int]("numClassesForClassification")
- .text(s"number of classes for classification, "
- + s"default: ${defaultParams.numClassesForClassification}")
- .action((x, c) => c.copy(numClassesForClassification = x))
opt[Int]("maxBins")
.text(s"max number of bins, default: ${defaultParams.maxBins}")
.action((x, c) => c.copy(maxBins = x))
+ opt[Double]("fracTest")
+ .text(s"fraction of data to hold out for testing, default:
${defaultParams.fracTest}")
+ .action((x, c) => c.copy(fracTest = x))
arg[String]("<input>")
.text("input paths to labeled examples in dense format (label,f0
f1 f2 ...)")
--- End diff --
It supports LIBSVM in that it can load files of that format using the
MLUtils.loadLibSVMFile() method. However, it does not look for pairs of
(train,test) files called (FILENAME, FILENAME.t).
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