new data transformation option, advanced training options
  • general:
    • improved callback handling
    • training can start from scratch ("restart training")
    • new data transformation options
  • new features:
    • new class CallbackHandler to add/reload callbacks, create checkpoints and retrieve callbacks in proper format and order
    • in addition to the already supported station-wise transformation, it is now possible to apply a specific transformation for the entire dataset. More information in README.md
    • Data can be randomly permuted inside a minibatch (can already be used, but is initially a preparation for [not implemented] extreme value weighting )
  • technical:
    • refac of naming conventions: observations are now called obs, original predictions from CNN can be called orig_pred (preparation for bootstraps and its permuted predictions)
    • security setup for join database settings