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Commit ab723a1c authored by lukas leufen's avatar lukas leufen
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updated changelog and version number

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3 merge requests!126update develop from master,!125Release v0.10.0,!119Resolve "Include advanced data handling in workflow"
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# Changelog
All notable changes to this project will be documented in this file.
## v0.10.0 - 2020-07-15 - MLAir is official name, Workflows, easy Model plug-in
### general
- Official project name is released: MLAir (Machine Learning on Air data)
- a model class can now easily be plugged in into MLAir. #121
- introduced new concept of workflows, #134
### new features
- workflows are used to execute a sequence of run modules, #134
- default workflows for standard and the Juelich HPC systems are available, custom workflows can be defined, #134
- seasonal decomposition is available for conditional quantile plot, #112
- map plot is created with coordinates, #108
- `flatten_tails` are now more general and easier to customise, #114
- model classes have custom compile options (replaces `set_loss`), #110
- model can be set in ExperimentSetup from outside, #121
- default experiment settings can be queried using `get_defaults()`, #123
- training and model settings are reported as MarkDown and Tex tables, #145
### technical
- Juelich HPC systems are supported and installation scripts are available, #106
- data store is tracked, I/O is saved and illustrated in a plot, #116
- batch size, epoch parameter have to be defined in ExperimentSetup, #127, #122
- automatic documentation with sphinx, #109
- default experiment settings are updated, #123
- refactoring of experiment path and its default naming, #124
- refactoring of some parameter names, #146
- preparation for package distribution with pip, #119
- all run scripts are updated to run with workflows, #134
- the experiment folder is restructured, #130
## v0.9.0 - 2020-04-15 - faster bootstraps, extreme value upsamling
### general
- improved and faster bootstrap workflow
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