ALSModel.load not working on pyspark 2.1.0

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ALSModel.load not working on pyspark 2.1.0

cgarciae
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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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