Adding instructions for MAHOUT-1794 to the readme.

Project: http://git-wip-us.apache.org/repos/asf/mahout/repo
Commit: http://git-wip-us.apache.org/repos/asf/mahout/commit/b25a70a1
Tree: http://git-wip-us.apache.org/repos/asf/mahout/tree/b25a70a1
Diff: http://git-wip-us.apache.org/repos/asf/mahout/diff/b25a70a1

Branch: refs/heads/master
Commit: b25a70a1bc6b9f8cb6c89947e0eaba5588463652
Parents: 67f0093
Author: Andrew Musselman <[email protected]>
Authored: Sat Mar 19 14:46:48 2016 -0700
Committer: Andrew Musselman <[email protected]>
Committed: Sat Mar 19 14:46:48 2016 -0700

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 examples/bin/README.txt | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)
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http://git-wip-us.apache.org/repos/asf/mahout/blob/b25a70a1/examples/bin/README.txt
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diff --git a/examples/bin/README.txt b/examples/bin/README.txt
index 503a687..7ad3a38 100644
--- a/examples/bin/README.txt
+++ b/examples/bin/README.txt
@@ -1,5 +1,8 @@
 This directory contains helpful shell scripts for working with some of 
Mahout's examples.  
 
+To set a non-default temporary work directory: `export 
MAHOUT_WORK_DIR=/path/in/hdfs/to/temp/dir`
+  Note that this requires the same path to be writable both on the local file 
system as well as on HDFS.
+
 Here's a description of what each does:
 
 classify-20newsgroups.sh -- Run SGD and Bayes classifiers over the classic 20 
News Groups.  Downloads the data set automatically.
@@ -7,4 +10,4 @@ cluster-reuters.sh -- Cluster the Reuters data set using a 
variety of algorithms
 cluster-syntheticcontrol.sh -- Cluster the Synthetic Control data set.  
Downloads the data set automatically.
 factorize-movielens-1m.sh -- Run the Alternating Least Squares Recommender on 
the Grouplens data set (size 1M).
 factorize-netflix.sh -- (Deprecated due to lack of availability of the data 
set) Run the ALS Recommender on the Netflix data set.
-spark-document-classifier.mscala -- A mahout-shell script which trains and 
tests a Naive Bayes model on the Wikipedia XML dump and defines simple methods 
to classify new text.
\ No newline at end of file
+spark-document-classifier.mscala -- A mahout-shell script which trains and 
tests a Naive Bayes model on the Wikipedia XML dump and defines simple methods 
to classify new text.

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