Version 1.0.0

Release Notes:

• DNN reco now supports TF2
• TF1 still works in compatibility mode
• Documentation also updated to python3 and TF2

Added Functionality:

• Support for learning rate schedulers
• option to only apply input data filter on specific PDG particle types

Changes:

• Progress bars via tqdm for create trafo model and counting
• more detailed output when NaNs are found in input data
• add is_neutrino and is_numu labels to event_selection_labels.upgoing_tracks

Bug Fixes:

• add dependencies tables, uncertainties, tqdm
• fix git origin url for version control
• pickle protocol fixed to 2: ensures models can be used in python 2 and 3
• Azimuth and Zenith of I3Particle are now transformed to proper range in I3Module
• fixed python3 multiprocessing bug for data input pipeline