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authorJoseph K. Bradley <joseph@databricks.com>2015-08-19 07:38:27 -0700
committerXiangrui Meng <meng@databricks.com>2015-08-19 07:38:27 -0700
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[SPARK-10060] [ML] [DOC] spark.ml DecisionTree user guide
New user guide section ml-decision-tree.md, including code examples. I have run all examples, including the Java ones. CC: manishamde yanboliang mengxr Author: Joseph K. Bradley <joseph@databricks.com> Closes #8244 from jkbradley/ml-dt-docs.
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diff --git a/docs/ml-guide.md b/docs/ml-guide.md
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@@ -32,10 +32,7 @@ Users should be comfortable using `spark.mllib` features and expect more feature
Developers should contribute new algorithms to `spark.mllib` and can optionally contribute
to `spark.ml`.
-Guides for sub-packages of `spark.ml` include:
-
-* [Feature Extraction, Transformation, and Selection](ml-features.html): Details on transformers supported in the Pipelines API, including a few not in the lower-level `spark.mllib` API
-* [Ensembles](ml-ensembles.html): Details on ensemble learning methods in the Pipelines API
+See the [Algorithm Guides section](#algorithm-guides) below for guides on sub-packages of `spark.ml`, including feature transformers unique to the Pipelines API, ensembles, and more.
**Table of Contents**
@@ -179,10 +176,8 @@ There are now several algorithms in the Pipelines API which are not in the lower
**Pipelines API Algorithm Guides**
* [Feature Extraction, Transformation, and Selection](ml-features.html)
+* [Decision Trees for Classification and Regression](ml-decision-tree.html)
* [Ensembles](ml-ensembles.html)
-
-**Algorithms in `spark.ml`**
-
* [Linear methods with elastic net regularization](ml-linear-methods.html)
# Code Examples