0.2.8
- Robustify automatic batch_size and epochs selection
- Robustify automatic learning_rate selection based on lr-range-test
- Improve train optimizer and scheduler
- soft-start regularization in last third of training
- Improve reqularization function for all components
- allow custom optimizer and loss_func
- support python 3.6.9 for colab
- Crossvalidation utility
- Chinese documentation
- support callable loss
- Robustify changepoints data format
- require log_level in logger util
- Rename tqdm, remove overbleed option
- Reg schedule: increasing regularization in last third of training
- bug fix in plot country holidays
- Add Energy datasets and example notebook
- disable log file by default
- add double crossvalidation
- improve tests
- Buxfixes
0.2.7
- example notebooks: Sub-daily data, Autoregresseion
- bugfixes:
lambda_delay, train_speed
0.2.6
- Auto-set
batch_size and epochs
- add
train_speed setting
- add
set_random_seed util
- continued removal of
AttrDict uses
- bugfix to index issue in
make_future_dataframe
0.2.5
- documentation pages added
- 1cycle policy
- learning rate range test
- tutorial notebooks: trend, events
- fixes to plotting, changepoints