A distributed Spark/Scala implementation of the isolation forest algorithm for unsupervised outlier detection, featuring support for scalable training and ONNX export for seamless cross-platform inference.
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Load Model Error: java.lang.UnsupportedOperationException: empty collection #6
I compiled the project for spark 2.4 following the instructions at homepage. It has been built successfully and passed all tests. But I still got the error below when I try to load trained model (model save can work). Any one can help?
Regards,
James
java.lang.UnsupportedOperationException: empty collection
at org.apache.spark.rdd.RDD$$anonfun$first$1.apply(RDD.scala:1380)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:363)
at org.apache.spark.rdd.RDD.first(RDD.scala:1377)
at com.linkedin.relevance.isolationforest.IsolationForestModelReadWrite$IsolationForestModelReader.loadMetadata(IsolationForestModelReadWrite.scala:192)
at com.linkedin.relevance.isolationforest.IsolationForestModelReadWrite$IsolationForestModelReader.loadImpl(IsolationForestModelReadWrite.scala:81)
at com.linkedin.relevance.isolationforest.IsolationForestModelReadWrite$IsolationForestModelReader.load(IsolationForestModelReadWrite.scala:50)
at com.linkedin.relevance.isolationforest.IsolationForestModelReadWrite$IsolationForestModelReader.load(IsolationForestModelReadWrite.scala:38)
at org.apache.spark.ml.util.MLReadable$class.load(ReadWrite.scala:380)
at com.linkedin.relevance.isolationforest.IsolationForestModel$.load(IsolationForestModel.scala:140)
... 40 elided
Hi Team,
I compiled the project for spark 2.4 following the instructions at homepage. It has been built successfully and passed all tests. But I still got the error below when I try to load trained model (model save can work). Any one can help?
Regards, James