From fb25e8c7f45b4f96561e3f7434a0f4dfce8ddefe Mon Sep 17 00:00:00 2001
From: "Joseph K. Bradley" <joseph@databricks.com>
Date: Wed, 1 Apr 2015 15:15:47 -0700
Subject: [PATCH] [SPARK-6657] [Python] [Docs] fixed python doc build warnings
fixed python doc build warnings
CC whomever wants to review: rxin mengxr davies
Author: Joseph K. Bradley <joseph@databricks.com>
Closes #5317 from jkbradley/python-doc-warnings and squashes the following commits:
4cd43c2 [Joseph K. Bradley] fixed python doc build warnings
---
python/docs/pyspark.streaming.rst | 2 +-
python/pyspark/mllib/tree.py | 26 ++++++++++----------------
2 files changed, 11 insertions(+), 17 deletions(-)
diff --git a/python/docs/pyspark.streaming.rst b/python/docs/pyspark.streaming.rst
index 7890d9dcaa..50822c93fa 100644
--- a/python/docs/pyspark.streaming.rst
+++ b/python/docs/pyspark.streaming.rst
@@ -10,7 +10,7 @@ Module contents
:show-inheritance:
pyspark.streaming.kafka module
-----------------------------
+------------------------------
.. automodule:: pyspark.streaming.kafka
:members:
:undoc-members:
diff --git a/python/pyspark/mllib/tree.py b/python/pyspark/mllib/tree.py
index bf288d7644..a7a4d2aaf8 100644
--- a/python/pyspark/mllib/tree.py
+++ b/python/pyspark/mllib/tree.py
@@ -286,21 +286,18 @@ class RandomForest(object):
:param numTrees: Number of trees in the random forest.
:param featureSubsetStrategy: Number of features to consider for
splits at each node.
- Supported: "auto" (default), "all", "sqrt", "log2",
- "onethird".
- If "auto" is set, this parameter is set based on
- numTrees:
- if numTrees == 1, set to "all";
- if numTrees > 1 (forest) set to "sqrt".
- :param impurity: Criterion used for information gain
- calculation.
+ Supported: "auto" (default), "all", "sqrt", "log2", "onethird".
+ If "auto" is set, this parameter is set based on numTrees:
+ if numTrees == 1, set to "all";
+ if numTrees > 1 (forest) set to "sqrt".
+ :param impurity: Criterion used for information gain calculation.
Supported values: "gini" (recommended) or "entropy".
:param maxDepth: Maximum depth of the tree.
E.g., depth 0 means 1 leaf node; depth 1 means
1 internal node + 2 leaf nodes. (default: 4)
:param maxBins: maximum number of bins used for splitting
features
- (default: 100)
+ (default: 100)
:param seed: Random seed for bootstrapping and choosing feature
subsets.
:return: RandomForestModel that can be used for prediction
@@ -365,13 +362,10 @@ class RandomForest(object):
:param numTrees: Number of trees in the random forest.
:param featureSubsetStrategy: Number of features to consider for
splits at each node.
- Supported: "auto" (default), "all", "sqrt", "log2",
- "onethird".
- If "auto" is set, this parameter is set based on
- numTrees:
- if numTrees == 1, set to "all";
- if numTrees > 1 (forest) set to "onethird" for
- regression.
+ Supported: "auto" (default), "all", "sqrt", "log2", "onethird".
+ If "auto" is set, this parameter is set based on numTrees:
+ if numTrees == 1, set to "all";
+ if numTrees > 1 (forest) set to "onethird" for regression.
:param impurity: Criterion used for information gain
calculation.
Supported values: "variance".
--
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