* 'master' of gitlab.physik.uni-muenchen.de:Nikolai.Hartmann/KerasROOTClassification:
  plot train and test for ROC by default
  commenting number of cores for session
  staring eval_model script
  allow both None and 0 for deactivating dropout
  try to avoid copying also when fitting scaler
  further memory improvements
  Memory improvements
  Experimental support for initialising from pandas DataFrame (memory intense ...)
  starting initialisation from pandas df
  support for tensorboard
  include identifiers in to_DataFrame
  adding to_DataFrame function
  Extended dropout support
  weighted accuracy
  weighted quantile for plot_NN_2D
  all neuron plot in plot_NN_2D script

* stop option for reading a maximum number of events for train/test
* inplace scaling