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Repo info
    i am trying to use mleap to log a logistic regression (pyspark.ml.classification.LogisticRegression) model by doing mlflow.mleap.log_model(spark_model=model, sample_input=test_data.limit(1), artifact_path=SAGEMAKER_APP_NAME), and then doing a deploy to SageMaker. But when i use boto3 to make the prediction call, the SageMaker endpoint only returns the prediction label 1 or 0, without the probability value. Is there anywhere i can look into to debug this problem?
    2 replies
    marvin xu
    java.util.NoSuchElementException: key not found: org.apache.spark.ml.PipelineModel, does anyone met this problem?
    use mleap-spark_2.3.0, seriazation pipelne mode in local environment is success, while failed on cluster mode
    and if it seems reference.conf in mleap-xgboost-spark overwrite reference.conf in mleap-spark
    @Daniel8hen have get any resolution?
    Monark Singh

    Hi Guys,

    Is there any way, where we can load models if mleap runtime is added as a dependency in java app? Couldn't figure out from looking at the java doc available.

    Could only find API way of loading the models.

    Andrea Guidi

    Hello everybody :)

    I am new to this chat. I was reading the MLeap documentation and I really think it's a great product. My only concern is that (as far as I know) it's not possible to use Spark-NLP annotators or any other python NLP package. Did anybody manage to build a pipeline with a Lemmatizer or any other processing step which is not included in default Spark ML or sklearn modules?

    Is there any way of serializing List[String] in a separate folder like being done in DecisionTree and GBT like serializers.
    Alex Holmes
    hi folks - is there a rough sense of when JDK11/Spark3 support may be added as per combust/mleap#475 ? thanks so much
    @ancasarb hey, hope you're doing well! Could you take a look at https://github.com/combust/mleap/pull/719/files

    Hi folks, i am trying to run mleap transform using gRPC, but it fails on the server, can some one help ?

    grpcurl -plaintext -proto grpc.proto -proto mleap.proto -proto bundle.proto -d "$jsg" ml.combust.mleap.pb.Mleap/Transform

    getting this error on the server

    Exception in thread "grpc-default-executor-31" java.lang.Error: java.lang.ClassNotFoundException: json.DefaultFrameReader
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1155)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
    at java.lang.Thread.run(Thread.java:748)
    Caused by: java.lang.ClassNotFoundException: json.DefaultFrameReader
    at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
    at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
    at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
    at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
    at ml.combust.mleap.runtime.serialization.FrameReader$.apply(FrameReader.scala:20)
    at ml.combust.mleap.grpc.server.GrpcServer.transform(GrpcServer.scala:86)
    at ml.combust.mleap.pb.MleapGrpc

    KaTeX parse error: Can't use function '$' in math mode at position 5: anon$̲9.invoke(MleapG…: anon$9.invoke(MleapGrpc.scala:291)
        at ml.combust.mleap.pb.MleapGrpc
    at io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:171)
    at io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:272)
    at io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:653)
    at io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
    at io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
    ... 2 more

    Hi folks, i have opened a git issue too for above error, its an Internal error if try with ml.combust.mleap.json, https://github.com/combust/mleap/issues/730#issuecomment-740596806
    Hi all, I opened an issue on mleap
    i want to serialize feature importance vector but mleap is not supporting, is there any resolution?
    Hi all, I was wondering if it is intentional that the mleap-spring-boot docker image is only available in snapshot versions? https://hub.docker.com/r/combustml/mleap-spring-boot/tags
    i think so
    Anca Sarb
    Hey @shmyer I don’t think there is, will make sure that we publish a release version going forward as well.
    Hey @mtsol, will reply on the issue you raised shortly
    thanks @ancasarb
    Thanks! @ancasarb
    hi folks, just wondering is any road map available, like what features are coming , any plans to support spark3.0 . Also in docs it's mentioned custom transformers adding in Python and C support , is it fully in python or actual code in Scala then make bindings for PySpark?

    can someone please help me with where exactly(in which file of this project) should I be putting this dependency to use xgboost.

    ml.combust.mleap mleap-xgboost-spark_${scala.binary.version} ${ml.combust.mleap.version}
    a configured example would also be helpful.

    I created the jars using master repo and tried using that but faced this error -
    error: object XGBoostRegressor is not a member of package ml.dmlc.xgboost4j.scala.spark
    import ml.dmlc.xgboost4j.scala.spark.XGBoostRegressor

    I had installed these jars -


    Alexis BRENON

    Hi. I use MLeap in my project as well as GRPC, and I would like to upgrade ScalaPB to latest version (v0.10.11). However, upgrading it make mleap fail to serialize models that were serializable earlier with the following error:

    A needed class was not found. This could be due to an error in your runpath. Missing class: scalapb/Message
    java.lang.NoClassDefFoundError: scalapb/Message

    So I suppose that this is just a version mismatch between my version of scalaPB and the one expected by MLeap (I see that it still use the v0.7.1.
    Do you see any reason against upgrading scalaPB ? If no, would you appreciate a PR for this ?

    Anca Sarb
    hi all, just a small note to say the latest documentation is available at https://combust.github.io/mleap-docs/, thanks!
    Hi All, Just want to bubble up this issues combust/mleap#475 and wanted to understand by when JDK11/Spark3 support will be added?
    Akarsh Gupta
    How can we change the log level on mleap-serving, I am using the docker-image:0.11.0 ?
    @seme0021 @hollinwilkins
    hi guys!
    Really quick question. I work with the team that use mleap 0.13, they fixed particular issue there. Is it possible to raise PR against 0.13 to see new minor version (0.13.1)?
    As far as I see all versions are chronologically ordered but still decided to double check if old versions have some non-obvious maintenance.
    Ryan Vogan

    Hi @ancasarb

    We think we've found an issue with MLeap's DenseTensor indexing code.

    It doesn't seem to follow row-major or column-major order, and has a different behavior from the SparseTensor indexing found in the same file below.

    Could you take a look at our combust/mleap#760 PR when you get a chance?

    Anca Sarb
    Hey sure thing, I’ll take a look tomorrow
    3 replies


    Hi All, Just want to bubble up this issues combust/mleap#475 and wanted to understand by when JDK11/Spark3 support will be added?

    Hi @ancasarb Looking for support of Spark 3.1.1, XGboost 1.3.x ,Scala 2.12 and JDK 8 as indicated in this issue : combust/mleap#751 , could you please comment on expected availability of the fix ?

    Anca Sarb
    Hey, I’m reviewing that #760 PR should be done in the next day or so. And then I will finish off #475
    Thanks Anca.
    Anca, would combust/mleap#751 be solved as well with #475 ?

    Hello! Im trying to serve a simple Pyspark LR model, since Mleap runtime is not available (AFAIK) in python im sending Rest calls to the mleap-spring-boot docker server.

    My model takes a single sparse vector as input, and with some trial/error work I managed to send requests in json format successfully.

    Does anyone know if it's possible to send sparse input in protobuf format? My ideal scenario since latency is a great constraint would be to be able to send gRPC/protobuf inference requests.

    My current body (json) that I could successfully send looks like

    Marian Diaconu

    Hi Everyone! Do you think is possible to transform a Map[String, FeatureClass] to a DefaultLeapFrame using some kind of automatic mechanism?

    Im using Scala
    The FeatureClass would be :
    FeatureClass(value: String, _type: MyType)

    What Id like to do is to have a dynamic Map (therefore contains a dynamic no of features) that can be transformed into a DefaultLeapFrame that is then fed to the model itself.

    Marian Diaconu
    anyone here?
    Calin Cocan
    Hi Everyone. I am trying to import MLeap source project in my IDE but I have a newer JDK in place (Open JDK - 15) and SBT fails resolving 'sun.misc.Cleaner' dependency. I have looked up in the source code and this is used in a single method from Platform class (allocateDirectBuffer) and the method is not used in any place. I might be reading the code incorrectly but in case is not used can be removed and allow MLeap compile (at least) with newer java version than 8?
    Hi @ancasarb Would you please check if combust/mleap#760 is good to merge? Or if you have further comments, Please let me know.
    Ryan Vogan
    Also combust/mleap#664 and combust/mleap#763 are small when you get a chance!
    Ryan Vogan
    Hi @ancasarb, could you take a look at our Spark 3 PR when you get a chance?
    Hello all. May I know when is mleap v0.19.0 release planned?
    Noah Pritikin
    There's been some chatter recently on the log4j dependency that MLeap is pulling in via the springboot framework. Just FYI to all in chat here: combust/mleap#792