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Commit b50b3ba2 authored by leufen1's avatar leufen1
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Changelog is now up-tp-date

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3 merge requests!430update recent developments,!414update dev on new master version,!412Resolve "release v2.0.0"
# Changelog
All notable changes to this project will be documented in this file.
## v2.0.0 - 2022-04-08 - tf2 usage, new model classes, and improved uncertainty estimate
### general:
* MLAir now uses tensorflow v2
* new customisable model classes for CNN and RNN
* improved uncertainty estimate
### new features:
* MLAir depends now on tensorflow v2 (#331)
* new CNN class that can be configured layer-wise (#368)
* new RNN class that can be configured in more detail (#361)
* new branched-input CNN class (#368)
* new branched-input RNN class (#362)
* set custom model display name that is used in plots (#341)
* specify names of input branches to use in feature importance plots (#356)
* uncertainty estimate of model error is now calculated for each forecast step additionally (#359)
* data transformation properties are stored locally and can be loaded into an experiment run (#345)
* uncertainty estimate includes now a Mann-Whitney U rank test (#355)
* data handlers can now have access to "future" data specified by new parameter extend_length_opts (#339)
### technical:
* MLAir now uses python3.8 on Jülich HPC systems (#375)
* no support of MLAir for tensorflow v1.X, replaced by tf v2.X (#331)
* all data handlers with filters can return data as branches (#370)
* bug fix to force model name and competitor names to be unique (#366, #369)
* fix to use only a single forecast step (#315)
* CI pipeline adjustments (#340, #365)
* new option to set the level of the print logging (#364)
* advanced logging for batch data creation and in postprocessing (#350, #360)
* batch data creation is skipped on disabled training (#341)
* multiprocessing pools are now closed properly (#342)
* bug fix if no competitor data is available (#343)
* bug fix for model loading (#343)
* models plotted by PlotSampleUncertaintyFromBootstrap are now ordered by mean error (#344)
* fix for usage of lazy data caused unintended reloading of data (#347)
* fix for latex reports no showing all stations and competitors (#349)
* refactoring of hard coded dimension names in skill scores calculation (#357)
* bug fix of order of bootstrap method in feature importance calculation causes errors (#358)
* distinguish now between window_history_offset (pos of last time step), window_history_size (total length of input
sample), and extend_length_opts ("future" data that is available at given time) (#353)
## v1.5.0 - 2021-11-11 - new uncertainty estimation
### general:
......
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