Change logΒΆ
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wax 0.2.0 (October 20 2021)ΒΆ
Documentation:
New notebook : 07_Online_Time_Series_Prediction
New notebook : 08_Online_learning_in_non_stationary_environments
API modifications:
refactor accessors and stream
GymFeedback now assumes that agent and env return info object
OnlineSupervisedLearner action is y_pred, loss and params are returned as info
Improvements:
introduce general unroll transformation.
dynamic_unroll can handle Callable objects
UpdateOnEvent can handle any signature for functions
EWMCov can handle the x and y arguments explicitly
add initial action option to GymFeedback
New Features:
New module UpdateParams
New module SNARIMAX, ARMA
New module OnlineOptimizer
New module VMap
add grads_fill_nan_inf option to OnlineSupervisedLearner
Introduce
unroll_transform_with_state
following Haiku API.New function auto_format_with_shape and tree_auto_format_with_shape
New module Ffill
New module Counter
Deprecate:
deprecate dynamic_unroll and static_unroll, refactor their usages.
Fixes:
Simplify Buffer to work only on ndarrays (implementation on pytrees were too complex)
EWMA behave corectly with gradient
MaskStd behave correctly with gradient
correct encode_int64 when working on int32
update notebook 06_Online_Linear_Regression and add it to run-notebooks rule
correct pct_change to behave correctly when input data has nan values.
correct eagerpy test for update of tensorflow, pytorch and jax
remove duplicate license comments
use numpy.allclose instsead of jax.numpy.allclose for comparaison of non Jax objects
update comment in notebooks : jaxlib==0.1.67+cuda111 to jaxlib==0.1.70+cuda111
fix jupytext dependency
add seaborn as optional dependency
wax 0.1.0 (June 14 2021)ΒΆ
First realease.