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authorSean Owen <sowen@cloudera.com>2014-07-13 19:27:43 -0700
committerXiangrui Meng <meng@databricks.com>2014-07-13 19:27:43 -0700
commit635888cbed0e3f4127252fb84db449f0cc9ed659 (patch)
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parent4c8be64e768fe71643b37f1e82f619c8aeac6eff (diff)
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SPARK-2363. Clean MLlib's sample data files
(Just made a PR for this, mengxr was the reporter of:) MLlib has sample data under serveral folders: 1) data/mllib 2) data/ 3) mllib/data/* Per previous discussion with Matei Zaharia, we want to put them under `data/mllib` and clean outdated files. Author: Sean Owen <sowen@cloudera.com> Closes #1394 from srowen/SPARK-2363 and squashes the following commits: 54313dd [Sean Owen] Move ML example data from /mllib/data/ and /data/ into /data/mllib/
Diffstat (limited to 'docs/mllib-clustering.md')
-rw-r--r--docs/mllib-clustering.md4
1 files changed, 2 insertions, 2 deletions
diff --git a/docs/mllib-clustering.md b/docs/mllib-clustering.md
index 429cdf8d40..c76ac010d3 100644
--- a/docs/mllib-clustering.md
+++ b/docs/mllib-clustering.md
@@ -51,7 +51,7 @@ import org.apache.spark.mllib.clustering.KMeans
import org.apache.spark.mllib.linalg.Vectors
// Load and parse the data
-val data = sc.textFile("data/kmeans_data.txt")
+val data = sc.textFile("data/mllib/kmeans_data.txt")
val parsedData = data.map(s => Vectors.dense(s.split(' ').map(_.toDouble)))
// Cluster the data into two classes using KMeans
@@ -86,7 +86,7 @@ from numpy import array
from math import sqrt
# Load and parse the data
-data = sc.textFile("data/kmeans_data.txt")
+data = sc.textFile("data/mllib/kmeans_data.txt")
parsedData = data.map(lambda line: array([float(x) for x in line.split(' ')]))
# Build the model (cluster the data)