The changes in this pull request were made to update streamDM to the current Spark version, i.e., Spark 2.2.0.
Most classes in the framework were touched by this request, mostly on the import section. Unused imports were removed as well. Other small changes were performed as well, since all classes were revisited, such as opportunities to use val instead of var.
sbt.learn was also updated to include the new versions for the existing dependencies.
Tests
Just a sanity check to verify if the code is working with the latest version.
The test uses the electNormNew.arff, which is inside \data directory, so there is no need to include other dataset.
Execute EvaluatePrequential using electNormNew.arff
Summary of the changes
The changes in this pull request were made to update streamDM to the current Spark version, i.e.,
Spark 2.2.0
.Most classes in the framework were touched by this request, mostly on the import section. Unused imports were removed as well. Other small changes were performed as well, since all classes were revisited, such as opportunities to use
val
instead ofvar
.sbt.learn
was also updated to include the new versions for the existing dependencies.Tests
Just a sanity check to verify if the code is working with the latest version. The test uses the electNormNew.arff, which is inside
\data
directory, so there is no need to include other dataset.Run the command:
Expected output: 10 rows of statistics in results_ELEC.txt