CHANGELOG.md

Changelog

All notable changes to this project will be documented in this file.

v0.9.0 - 2020-04-15 - faster bootstraps, extreme value upsamling

general

• improved and faster bootstrap workflow
• new plot PlotAvailability
• extreme values upsampling
• improved runtime environment

new features

• entire bootstrap workflow has been refactored and much faster now, can be skipped with evaluate_bootstraps=False, #60 (closed)
• upsampling of extreme values, set with parameter extreme_values=[your_values_standardised] (e.g. [1, 2]) and extremes_on_right_tail_only=<True/False> if only right tail of distribution is affected or both, #58 (closed), #87 (closed)
• minimal data length property (in total and for all subsets), #76 (closed)
• custom objects in model class to load customised model objects like padding class, loss, #72 (closed)
• new plot for data availability: PlotAvailability, #103 (closed)
• introduced (default) plot_list to specify which plots to draw
• latex and markdown information on sample sizes for each station, #90 (closed)

technical

• implemented tests on gpu and from scratch for develop, release and master branches, #95 (closed)
• usage of tensorflow 1.13.1 (gpu / cpu), separated in 2 different requirements, #81 (closed)
• new abstract plot class to have uniform plot class design
• New time tracking wrapper to use for functions or classes
• improved logger (info on display, debug into file), #73 (closed), #85 (closed), #88 (closed)
• improved run environment, especially for error handling, #86 (closed)
• prefix general in data store scope is now optional and can be skipped. If given scope is not general, it is treated as subscope, #82 (closed)
• all 2D Padding classes are now selected by Padding2D(padding_name=<padding_type>) e.g. Padding2D(padding_name="SymPad2D"), #78 (closed)
• custom learning rate (or lr_decay) is optional now, #71 (closed)