History

Author: Gsaes

HISTORY.rst

@@ -12,6 +12,8 @@ History
 * Implementation of TabDDPM and TsDDPM, which are diffusion-based models for tabular data and time-series data, based on Denoising Diffusion Probabilistic Models. Their implementations follow the work of Tashiro et al., (2021) and Kotelnikov et al., (2023).
 * ImputerDiffusion is an imputer-wrapper of these two models TabDDPM and TsDDPM.
 * Docstrings and tests improved for the EM sampler
+* Fix ImputerPytorch
+* Update Benchmark Deep Learning
 
 0.0.15 (2023-08-03)
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