Kmeans.py application fails with virtualenv and due to parse error

17/01/05 19:49:59 INFO deprecation: mapred.task.partition is deprecated. Instead, use mapreduce.task.partition
17/01/05 19:49:59 INFO deprecation: mapred.job.id is deprecated. Instead, use mapreduce.job.id
Invalid requirement: 'pip freeze'
Traceback (most recent call last):
  File "/grid/0/hadoop/yarn/local/usercache/hrt_qa/appcache/application_1483592608863_0006/container_1483592608863_0006_01_000002/virtualenv_application_1483592608863_0006_0/lib/python2.7/site-packages/pip/req/req_install.py", line 82, in __init__
    req = Requirement(req)
  File "/grid/0/hadoop/yarn/local/usercache/hrt_qa/appcache/application_1483592608863_0006/container_1483592608863_0006_01_000002/virtualenv_application_1483592608863_0006_0/lib/python2.7/site-packages/pip/_vendor/packaging/requirements.py", line 96, in __init__
    requirement_string[e.loc:e.loc + 8]))
InvalidRequirement: Invalid requirement, parse error at "u'freeze'"

17/01/05 19:50:03 WARN BlockManager: Putting block rdd_3_0 failed due to an exception
17/01/05 19:50:03 WARN BlockManager: Block rdd_3_0 could not be removed as it was not found on disk or in memory
17/01/05 19:50:03 ERROR Executor: Exception in task 0.0 in stage 0.0 (TID 0)

17/01/05 19:50:07 WARN TaskSetManager: Lost task 0.1 in stage 0.0 (TID 2, xxx.site, executor 1): java.lang.RuntimeException: Fail to run command: virtualenv_application_1483592608863_0006_1/bin/python -m pip --cache-dir /home/yarn install -r requirements.txt
	at org.apache.spark.api.python.PythonWorkerFactory.execCommand(PythonWorkerFactory.scala:142)
	at org.apache.spark.api.python.PythonWorkerFactory.setupVirtualEnv(PythonWorkerFactory.scala:128)
	at org.apache.spark.api.python.PythonWorkerFactory.<init>(PythonWorkerFactory.scala:70)
	at org.apache.spark.SparkEnv$$anonfun$createPythonWorker$1.apply(SparkEnv.scala:117)
	at org.apache.spark.SparkEnv$$anonfun$createPythonWorker$1.apply(SparkEnv.scala:117)
	at scala.collection.mutable.MapLike$class.getOrElseUpdate(MapLike.scala:194)
	at scala.collection.mutable.AbstractMap.getOrElseUpdate(Map.scala:80)
	at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:116)
	at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:128)
	at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:63)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
	at org.apache.spark.rdd.RDD$$anonfun$8.apply(RDD.scala:336)
	at org.apache.spark.rdd.RDD$$anonfun$8.apply(RDD.scala:334)
	at org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:957)
	at org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:948)
	at org.apache.spark.storage.BlockManager.doPut(BlockManager.scala:888)
	at org.apache.spark.storage.BlockManager.doPutIterator(BlockManager.scala:948)
	at org.apache.spark.storage.BlockManager.getOrElseUpdate(BlockManager.scala:694)
	at org.apache.spark.rdd.RDD.getOrCompute(RDD.scala:334)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:285)
	at org.apache.spark.rdd.ZippedPartitionsRDD2.compute(ZippedPartitionsRDD.scala:89)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
	at org.apache.spark.scheduler.Task.run(Task.scala:99)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
	at java.lang.Thread.run(Thread.java:745)