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SPARK-1544 Add support for deep decision trees. #475

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manishamde wants to merge 22 commits into from
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SPARK-1544 Add support for deep decision trees. #475

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50b143a
adding support for very deep trees
manishamde Apr 20, 2014
abc5a23
Parameterizing max memory.
etrain Apr 22, 2014
2f6072c
Merge pull request #5 from etrain/deep_tree
manishamde Apr 22, 2014
2f1e093
minor: added doc for maxMemory parameter
manishamde Apr 22, 2014
0287772
Fixing scalastyle issue.
etrain Apr 22, 2014
fecf89a
Merge pull request #6 from etrain/deep_tree
manishamde Apr 22, 2014
719d009
updating user documentation
manishamde Apr 24, 2014
9dbdabe
merge from master
manishamde Apr 29, 2014
1517155
updated documentation
manishamde Apr 29, 2014
718506b
added unit test
manishamde Apr 30, 2014
e0426ee
renamed parameter
manishamde May 1, 2014
dad9652
removed unused imports
manishamde May 1, 2014
cbd9f14
modified scala.math to math
manishamde May 3, 2014
5e82202
added documentation, fixed off by 1 error in max level calculation
manishamde May 6, 2014
4731cda
formatting
manishamde May 6, 2014
5eca9e4
grammar
manishamde May 6, 2014
8053fed
more formatting
manishamde May 6, 2014
426bb28
programming guide blurb
manishamde May 6, 2014
b27ad2c
formatting
manishamde May 6, 2014
ce004a1
minor formatting
manishamde May 6, 2014
7fc9545
added docs
manishamde May 7, 2014
968ca9d
merged master
manishamde May 7, 2014
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merged master
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@manishamde
manishamde committed May 7, 2014
commit 968ca9df9b86c1dd60876c00fb3c48b758ffc34b
3 changes: 1 addition & 2 deletions docs/mllib-decision-tree.md
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Expand Up @@ -99,8 +99,7 @@ For faster processing, the decision tree algorithm performs simultaneous histogr

### Practical limitations

1. The implemented algorithm reads both sparse and dense data. However, it is not optimized for
sparse input.
1. The implemented algorithm reads both sparse and dense data. However, it is not optimized for sparse input.
2. Python is not supported in this release.

## Examples
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