basic doc

Signed-off-by: Manish Amde <manish9ue@gmail.com>
pdeyhim · Feb 28, 2014 · 0dd7659 · 0dd7659
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diff --git a/mllib/src/main/scala/org/apache/spark/mllib/tree/README.md b/mllib/src/main/scala/org/apache/spark/mllib/tree/README.md
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 This package contains the default implementation of the decision tree algorithm.
 
 The decision tree algorithm supports:
-+ information loss calculation with entropy and gini for classification and variance for regression
-+ node model pruning
-+ printing to dot files
-+ unit tests
++ Binary classification
++ Regression
++ Information loss calculation with entropy and gini for classification and variance for regression
++ Both continuous and categorical features
 
-#Performance testing
+# Tree improvements
++ Node model pruning
++ Printing to dot files
 
-#Future Extensions
+# Future Ensemble Extensions
 
 + Random forests
 + Boosting
-+ Extremely randomized trees
++ Extremely randomized trees