Hi everyone. org.apache.spark.ml.feature.VectorAssembler currently cannot handle null values. This presents a problem for us as we wish to run a decision tree classifier on sometimes sparse data. Is there a particular reason VectorAssembler is implemented in this way, and can anyone recommend the best path for enabling VectorAssembler to build vectors for data that will contain empty values?
Thanks! -Andres
