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authorZheng RuiFeng <ruifengz@foxmail.com>2016-03-11 09:21:12 +0200
committerNick Pentreath <nick.pentreath@gmail.com>2016-03-11 09:21:12 +0200
commitd18276cb1d82790a402960835e112aebd0c55513 (patch)
treeff81f8825b43733b53e7160d1d168171653e6191
parente33bc67c8f936b7e0e4b94741794e162c0f402d3 (diff)
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[SPARK-13672][ML] Add python examples of BisectingKMeans in ML and MLLIB
JIRA: https://issues.apache.org/jira/browse/SPARK-13672 ## What changes were proposed in this pull request? add two python examples of BisectingKMeans for ml and mllib ## How was this patch tested? manual tests Author: Zheng RuiFeng <ruifengz@foxmail.com> Closes #11515 from zhengruifeng/mllib_bkm_pe.
-rw-r--r--docs/mllib-clustering.md6
-rw-r--r--examples/src/main/python/ml/bisecting_k_means_example.py57
-rw-r--r--examples/src/main/python/mllib/bisecting_k_means_example.py50
-rw-r--r--python/pyspark/mllib/clustering.py1
4 files changed, 114 insertions, 0 deletions
diff --git a/docs/mllib-clustering.md b/docs/mllib-clustering.md
index 44720147be..6897ba4a5d 100644
--- a/docs/mllib-clustering.md
+++ b/docs/mllib-clustering.md
@@ -399,6 +399,12 @@ Refer to the [`BisectingKMeans` Java docs](api/java/org/apache/spark/mllib/clust
{% include_example java/org/apache/spark/examples/mllib/JavaBisectingKMeansExample.java %}
</div>
+
+<div data-lang="python" markdown="1">
+Refer to the [`BisectingKMeans` Python docs](api/python/pyspark.mllib.html#pyspark.mllib.clustering.BisectingKMeans) and [`BisectingKMeansModel` Python docs](api/python/pyspark.mllib.html#pyspark.mllib.clustering.BisectingKMeansModel) for more details on the API.
+
+{% include_example python/mllib/bisecting_k_means_example.py %}
+</div>
</div>
## Streaming k-means
diff --git a/examples/src/main/python/ml/bisecting_k_means_example.py b/examples/src/main/python/ml/bisecting_k_means_example.py
new file mode 100644
index 0000000000..e6f6bfd7e8
--- /dev/null
+++ b/examples/src/main/python/ml/bisecting_k_means_example.py
@@ -0,0 +1,57 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements. See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License. You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+from __future__ import print_function
+
+from pyspark import SparkContext
+# $example on$
+from pyspark.ml.clustering import BisectingKMeans, BisectingKMeansModel
+from pyspark.mllib.linalg import VectorUDT, _convert_to_vector, Vectors
+from pyspark.mllib.linalg import Vectors
+from pyspark.sql.types import Row
+# $example off$
+from pyspark.sql import SQLContext
+
+"""
+A simple example demonstrating a bisecting k-means clustering.
+"""
+
+if __name__ == "__main__":
+
+ sc = SparkContext(appName="PythonBisectingKMeansExample")
+ sqlContext = SQLContext(sc)
+
+ # $example on$
+ data = sc.textFile("data/mllib/kmeans_data.txt")
+ parsed = data.map(lambda l: Row(features=Vectors.dense([float(x) for x in l.split(' ')])))
+ training = sqlContext.createDataFrame(parsed)
+
+ kmeans = BisectingKMeans().setK(2).setSeed(1).setFeaturesCol("features")
+
+ model = kmeans.fit(training)
+
+ # Evaluate clustering
+ cost = model.computeCost(training)
+ print("Bisecting K-means Cost = " + str(cost))
+
+ centers = model.clusterCenters()
+ print("Cluster Centers: ")
+ for center in centers:
+ print(center)
+ # $example off$
+
+ sc.stop()
diff --git a/examples/src/main/python/mllib/bisecting_k_means_example.py b/examples/src/main/python/mllib/bisecting_k_means_example.py
new file mode 100644
index 0000000000..7f4d0402d6
--- /dev/null
+++ b/examples/src/main/python/mllib/bisecting_k_means_example.py
@@ -0,0 +1,50 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements. See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License. You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+from __future__ import print_function
+
+# $example on$
+from numpy import array
+# $example off$
+
+from pyspark import SparkContext
+# $example on$
+from pyspark.mllib.clustering import BisectingKMeans, BisectingKMeansModel
+# $example off$
+
+if __name__ == "__main__":
+ sc = SparkContext(appName="PythonBisectingKMeansExample") # SparkContext
+
+ # $example on$
+ # Load and parse the data
+ 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)
+ model = BisectingKMeans.train(parsedData, 2, maxIterations=5)
+
+ # Evaluate clustering
+ cost = model.computeCost(parsedData)
+ print("Bisecting K-means Cost = " + str(cost))
+
+ # Save and load model
+ path = "target/org/apache/spark/PythonBisectingKMeansExample/BisectingKMeansModel"
+ model.save(sc, path)
+ sameModel = BisectingKMeansModel.load(sc, path)
+ # $example off$
+
+ sc.stop()
diff --git a/python/pyspark/mllib/clustering.py b/python/pyspark/mllib/clustering.py
index 5a5bf59dd5..23d118bd40 100644
--- a/python/pyspark/mllib/clustering.py
+++ b/python/pyspark/mllib/clustering.py
@@ -142,6 +142,7 @@ class BisectingKMeans(object):
.. versionadded:: 2.0.0
"""
+ @classmethod
@since('2.0.0')
def train(self, rdd, k=4, maxIterations=20, minDivisibleClusterSize=1.0, seed=-1888008604):
"""