muammar/ml4chem: 0.0.5

New to_pandas() method to convert features to DataFrame. Print date where a module was accessed. New base classes that can be used to build new features and model modules. New Annealer() class for training VAEs. Right now it is hardcoded in the VAE class but will be improved later. Addition of MultiStepLR and StepLR learning rate schedulers. ml4chem.data.visualization: Added kwargs to plot_atomic_features() Improved memory usage of Gaussian() at "training", and fixed KernelRidge. A batch_size keyword argument can be passed to the Potentials.load() function so that we can do predictions of trajectory files instead of Atoms()