From 15171550fe83e42fcb707744c9035ed540fb78d1 Mon Sep 17 00:00:00 2001 From: Manish Amde Date: Tue, 29 Apr 2014 14:45:34 -0700 Subject: [PATCH] updated documentation --- docs/mllib-decision-tree.md | 10 ++-------- 1 file changed, 2 insertions(+), 8 deletions(-) diff --git a/docs/mllib-decision-tree.md b/docs/mllib-decision-tree.md index 0693766990732..6667911a6abaf 100644 --- a/docs/mllib-decision-tree.md +++ b/docs/mllib-decision-tree.md @@ -95,15 +95,9 @@ The recursive tree construction is stopped at a node when one of the two conditi ### Practical limitations -1. The tree implementation stores an Array[Double] of size *O(#features \* #splits \* 2^maxDepth)* - in memory for aggregating histograms over partitions. The current implementation might not scale - to very deep trees since the memory requirement grows exponentially with tree depth. -2. The implemented algorithm reads both sparse and dense data. However, it is not optimized for +1. The implemented algorithm reads both sparse and dense data. However, it is not optimized for sparse input. -3. Python is not supported in this release. - -We are planning to solve these problems in the near future. Please drop us a line if you encounter -any issues. +2. Python is not supported in this release. ## Examples