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machine-learning
MLAir
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b50b3ba2
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b50b3ba2
authored
3 years ago
by
leufen1
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Changelog is now up-tp-date
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3 merge requests
!430
update recent developments
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!414
update dev on new master version
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!412
Resolve "release v2.0.0"
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# 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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