Loading Mllib models outside Spark

Question

I'm training a model in spark with mllib and saving it:

val model = SVMWithSGD.train(training, numIterations)

model.save(sc, "~/model")

but I'm having trouble loading it from a java app without spark to make real time predictions.

SparkConf sconf = new SparkConf().setAppName("Application").setMaster("local");
SparkContext sc = new SparkContext(sconf);
SVMModel model = SVMModel.load(sc, "/model");

I'm getting:

Exception in thread "main" java.lang.NoClassDefFoundError: org/apache/spark/SparkConf
    at ModelUser$.main(ModelUser.scala:11)
    at ModelUser.main(ModelUser.scala)
    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:497)
    at com.intellij.rt.execution.application.AppMain.main(AppMain.java:140)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.SparkConf

Is there a way to load the model in normal java app?

Answer 1

看看PMML模型在这里导出

Answer 2

PPML model export in spark is not being maintained anymore, and only the old RDD api support it. I've been using jpmml-sparkml to solve the problem. It also has the java runtime for standalone model execution.