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[release] 0.12.0 🎉 #180
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[release] 0.12.0 🎉 #180
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* Implement DeepGRU * Add torch extra and fix attentional context * Update torch installation instructions * Add torch installation checks * Finish DeepGRU documentation * Update notebooks
* Update HMM classifier diagram
* Add dev, test, docs and notebooks package extras * Re-add docs/requirements.txt
* Remove docs/requirements.txt * Move Sphinx extensions to requirements.py
* Keep batch lengths on CPU (pytorch/pytorch#43227) * Move sub-module parameters to device * Remove unnecessary .to() calls * Send all sub-modules to device * Update DeepGRU notebook
* Rework transforms + Add Custom transform * Update tests * Change title of custom transforms * Finish documentation * Update notebooks * Fix sphinx members typo for Transform autoclass
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Major changes
Custom
transformation.Preprocess
toCompose
.Compose
.verbose
parameter.transform()
function onTransform
objects to accept a single observation sequence._apply()
function onTransform
objects._is_fitted()
public onTransform
objects (change tois_fitted()
).__str__
instead of_describe()
for transformation descriptions.DeepGRU
to device explicitly, so we can now doDeepGRU(..., device=device)
instead ofDeepGRU(..., device=device).to(device)
. (#178)dev
,test
,docs
andnotebooks
extras. (#174)Equalize
transform as it goes against the point of variable-length sequence classification. (#172)TrimZeros
transform toTrimConstants
, allowing any constant-valued observation to be trimmed. (#172)sequentia[torch]
extra for optionaltorch
CPU installation. (#169)Minor changes
docs/requirements.txt
and specifydocs
extra in.readthedocs.yml
. (#176)docs/conf.py
torequirements.py
. (#176)requirements.py
. (#174)docs/README.md
,notebooks/README.md
andlib/test/README.md
. (#174)README.md
. (#171)CONTRIBUTING.md
. (#170)README.md
. (#167, #168)