Skip to content

Release 0.2.2
Compare
Choose a tag to compare
@moritzmeister moritzmeister released this 20 Jun 12:15
· 1 commit to branch-0.2 since this release
0.2.2
d813238

Features

  • this release makes Maggy ready for Hopsworks 0.10.0
  • Adds a SingleRun optimizer so users can run model training only once with experiment.lagom(train)
  • It is now possible to run multiple Maggy experiments from the same yarn app with the progress information and logging
  • Using print in the training wrapper function will propagate the prints from the Spark Executors to Jupyter and display them underneath the Jupyter cell. 
    0: Train on 60000 samples, validate on 10000 samples
1: x_train shape: (60000, 28, 28, 1)
    The 0: and 1: indicate from which machine the prints are coming.
    This feature should be used with care.

Bugfixes

  • Fixes a serialization Error when user function returns numpy data type
Assets 4
Loading