PyPOTS v0.1 is released! In this new version, we separated each model into a single model, for better standardization and easier management in the library; added model templates, for each task to assist PyPOTS contributors to quickly add new models; isolated optimizers from models, 1). to separate hyperparameters and avoid putting all of them in one place, which could result in a mess and be not readable; 2). to provide additional functionalities in the near future, such as learning rate scheduling, etc. Documentations are formally released! Visit PyPOTS website to see them; What's Changed Try to automatically fix the exception ValueError raised by gmm.fit() during VaDER training by @WenjieDu in https://github.com/WenjieDu/PyPOTS/p...