java.lang.NegativeArraySizeException

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  1. 0

    MultilayerPerceptronClassifier in Spark. Layers and strange errors

    Stack Overflow | 2 weeks ago | Igor Kustov
    org.apache.spark.SparkException: Failed to execute user defined function($anonfun$1: (vector) => double)
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  3. 0

    Dimension mismatch error in Spark ML

    Stack Overflow | 1 week ago | piotrm50
    java.lang.IllegalArgumentException: requirement failed: A & B Dimension mismatch!

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    Root Cause Analysis

    1. java.lang.NegativeArraySizeException

      No message provided

      at scala.reflect.ManifestFactory$$anon$12.newArray()
    2. Scala
      ManifestFactory$$anon$12.newArray
      1. scala.reflect.ManifestFactory$$anon$12.newArray(Manifest.scala:141)
      2. scala.reflect.ManifestFactory$$anon$12.newArray(Manifest.scala:139)
      2 frames
    3. breeze.linalg
      DenseVector$.zeros$mDc$sp
      1. breeze.linalg.DenseVector$.zeros$mDc$sp(DenseVector.scala:254)
      1 frame
    4. org.apache.spark
      FeedForwardTrainer.train
      1. org.apache.spark.ml.ann.FeedForwardModel$.apply(Layer.scala:564)
      2. org.apache.spark.ml.ann.FeedForwardTopology.model(Layer.scala:397)
      3. org.apache.spark.ml.ann.FeedForwardTrainer.train(Layer.scala:807)
      3 frames
    5. Spark Project ML Library
      Predictor.fit
      1. org.apache.spark.ml.classification.MultilayerPerceptronClassifier.train(MultilayerPerceptronClassifier.scala:260)
      2. org.apache.spark.ml.classification.MultilayerPerceptronClassifier.train(MultilayerPerceptronClassifier.scala:145)
      3. org.apache.spark.ml.Predictor.fit(Predictor.scala:96)
      3 frames