Could you provide an example of what your input data looks like? Supporting missing values in a sparse result vector makes sense. On Tue, 19 Apr 2016 at 23:55, Andres Perez <[email protected]> wrote:
> 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 > >
