This code is not working:

================
from pyspark.ml.evaluation import RegressionEvaluator
from pyspark.ml.recommendation import ALS, ALSModel
from pyspark.sql import Row

als = ALS(maxIter=10, regParam=0.01, userCol="user_id", itemCol="movie_id",
ratingCol="rating")
model = als.fit(training)

model.save("/models/als")

model2 = ALSModel.load("/models/als") # <-- error here
=================



Gives rise to this error:
=================

---------------------------------------------------------------------------Py4JJavaError
                            Traceback (most recent call
last)<ipython-input-24-c0454f47bb1d> in <module>()----> 1 m2 =
ALSModel.load("/models/als")
/usr/local/spark/python/pyspark/ml/util.py in load(cls, path)    251
  def load(cls, path):    252         """Reads an ML instance from the
input path, a shortcut of `read().load(path)`."""--> 253
return cls.read().load(path)    254     255
/usr/local/spark/python/pyspark/ml/util.py in load(self, path)    192
       if not isinstance(path, basestring):    193             raise
TypeError("path should be a basestring, got type %s" % type(path))-->
194         java_obj = self._jread.load(path)    195         if not
hasattr(self._clazz, "_from_java"):    196             raise
NotImplementedError("This Java ML type cannot be loaded into Python
currently: %r"
/usr/local/spark/python/lib/py4j-0.10.4-src.zip/py4j/java_gateway.py
in __call__(self, *args)   1131         answer =
self.gateway_client.send_command(command)   1132         return_value
= get_return_value(-> 1133             answer, self.gateway_client,
self.target_id, self.name)   1134    1135         for temp_arg in
temp_args:
/usr/local/spark/python/pyspark/sql/utils.py in deco(*a, **kw)     61
   def deco(*a, **kw):     62         try:---> 63             return
f(*a, **kw)     64         except py4j.protocol.Py4JJavaError as e:
 65             s = e.java_exception.toString()
/usr/local/spark/python/lib/py4j-0.10.4-src.zip/py4j/protocol.py in
get_return_value(answer, gateway_client, target_id, name)    317
          raise Py4JJavaError(    318                     "An error
occurred while calling {0}{1}{2}.\n".--> 319
format(target_id, ".", name), value)    320             else:    321
              raise Py4JError(
Py4JJavaError: An error occurred while calling o337.load.
: java.lang.UnsupportedOperationException: empty collection
        at org.apache.spark.rdd.RDD$$anonfun$first$1.apply(RDD.scala:1370)
        at 
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
        at 
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
        at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
        at org.apache.spark.rdd.RDD.first(RDD.scala:1367)
        at 
org.apache.spark.ml.util.DefaultParamsReader$.loadMetadata(ReadWrite.scala:379)
        at 
org.apache.spark.ml.recommendation.ALSModel$ALSModelReader.load(ALS.scala:317)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at 
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at 
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:498)
        at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
        at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
        at py4j.Gateway.invoke(Gateway.java:280)
        at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
        at py4j.commands.CallCommand.execute(CallCommand.java:79)
        at py4j.GatewayConnection.run(GatewayConnection.java:214)
        at java.lang.Thread.run(Thread.java:748)

=================

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