Stuck on an issue?

After updating from mleap v0.11.0 to v0.13.0, I am getting the following exception when I try to save a Spark model:

A needed class was not found. This could be due to an error in your runpath. Missing class: com/google/protobuf/GeneratedMessageV3
java.lang.NoClassDefFoundError: com/google/protobuf/GeneratedMessageV3
	at java.lang.ClassLoader.defineClass1(Native Method)
	at java.lang.ClassLoader.defineClass(ClassLoader.java:763)
	at java.security.SecureClassLoader.defineClass(SecureClassLoader.java:142)
	at java.net.URLClassLoader.defineClass(URLClassLoader.java:467)
        ...
	at ml.combust.bundle.json.JsonSupport$class.$init$(JsonSupport.scala:82)
	at ml.combust.bundle.json.JsonSupport$.<init>(JsonSupport.scala:295)
	at ml.combust.bundle.json.JsonSupport$.<clinit>(JsonSupport.scala)
	at ml.combust.bundle.serializer.JsonFormatModelSerializer.write(ModelSerializer.scala:48)
	at ml.combust.bundle.serializer.ModelSerializer$$anonfun$write$2$$anonfun$apply$1.apply$mcV$sp(ModelSerializer.scala:89)
	at ml.combust.bundle.serializer.ModelSerializer$$anonfun$write$2$$anonfun$apply$1.apply(ModelSerializer.scala:89)
	at ml.combust.bundle.serializer.ModelSerializer$$anonfun$write$2$$anonfun$apply$1.apply(ModelSerializer.scala:89)
	at scala.util.Try$.apply(Try.scala:192)
	at ml.combust.bundle.serializer.ModelSerializer$$anonfun$write$2.apply(ModelSerializer.scala:89)
	at ml.combust.bundle.serializer.ModelSerializer$$anonfun$write$2.apply(ModelSerializer.scala:89)
	at scala.util.Success.flatMap(Try.scala:231)
	at ml.combust.bundle.serializer.ModelSerializer.write(ModelSerializer.scala:88)
	at ml.combust.bundle.serializer.NodeSerializer$$anonfun$write$1.apply(NodeSerializer.scala:85)
	at ml.combust.bundle.serializer.NodeSerializer$$anonfun$write$1.apply(NodeSerializer.scala:81)
	at scala.util.Try$.apply(Try.scala:192)
	at ml.combust.bundle.serializer.NodeSerializer.write(NodeSerializer.scala:81)
	at ml.combust.bundle.serializer.GraphSerializer$$anonfun$writeNode$1.apply(GraphSerializer.scala:34)
	at ml.combust.bundle.serializer.GraphSerializer$$anonfun$writeNode$1.apply(GraphSerializer.scala:30)
	at scala.util.Try$.apply(Try.scala:192)
	at ml.combust.bundle.serializer.GraphSerializer.writeNode(GraphSerializer.scala:30)
	at ml.combust.bundle.serializer.GraphSerializer$$anonfun$write$2.apply(GraphSerializer.scala:21)
	at ml.combust.bundle.serializer.GraphSerializer$$anonfun$write$2.apply(GraphSerializer.scala:21)
	at scala.collection.IndexedSeqOptimized$class.foldl(IndexedSeqOptimized.scala:57)
	at scala.collection.IndexedSeqOptimized$class.foldLeft(IndexedSeqOptimized.scala:66)
	at scala.collection.mutable.WrappedArray.foldLeft(WrappedArray.scala:35)
	at ml.combust.bundle.serializer.GraphSerializer.write(GraphSerializer.scala:20)
	at org.apache.spark.ml.bundle.ops.PipelineOp$$anon$1.store(PipelineOp.scala:21)
	at org.apache.spark.ml.bundle.ops.PipelineOp$$anon$1.store(PipelineOp.scala:14)
	at ml.combust.bundle.serializer.ModelSerializer$$anonfun$write$1.apply(ModelSerializer.scala:87)
	at ml.combust.bundle.serializer.ModelSerializer$$anonfun$write$1.apply(ModelSerializer.scala:83)
	at scala.util.Try$.apply(Try.scala:192)
	at ml.combust.bundle.serializer.ModelSerializer.write(ModelSerializer.scala:83)
	at ml.combust.bundle.serializer.NodeSerializer$$anonfun$write$1.apply(NodeSerializer.scala:85)
	at ml.combust.bundle.serializer.NodeSerializer$$anonfun$write$1.apply(NodeSerializer.scala:81)
	at scala.util.Try$.apply(Try.scala:192)
	at ml.combust.bundle.serializer.NodeSerializer.write(NodeSerializer.scala:81)
	at ml.combust.bundle.serializer.BundleSerializer$$anonfun$write$1.apply(BundleSerializer.scala:34)
	at ml.combust.bundle.serializer.BundleSerializer$$anonfun$write$1.apply(BundleSerializer.scala:29)
	at scala.util.Try$.apply(Try.scala:192)
	at ml.combust.bundle.serializer.BundleSerializer.write(BundleSerializer.scala:29)
	at ml.combust.bundle.BundleWriter.save(BundleWriter.scala:31)
	at com.tfs.test.MleapPipelineTest$$anonfun$2.apply(MleapPipelineTest.scala:88)
        ...

This message is generated from the following code block:

    val sbc = SparkBundleContext().withDataset(model.transform(smallDF))
    for(bf <- managed(BundleFile(s"jar:file:${file.getPath}")))
    {   model.writeBundle.save(bf)(sbc).get }    //Line# 88 MleapPipelineTest.scala

I investigated this some more, and looks like, at the moment the following gets pulled in as external library: Maven: com.google.protobuf:protobuf-java:2.5.0 It also looks like the com/google/protobuf/GeneratedMessageV3 is available from protobuf-java 3.1.0 onwards (https://github.com/google/safe-html-types/issues/1). I am not able to figure out how this specific version (2.5.0) is getting pulled, and where I should update so that the correct version gets pulled.

Anyone else gets this error? Any pointers. Thanks.