jfcrenshaw/pzflow: v1.7.0

Updates:

• defaulted B=5 in splines
• Sampling from error distribution for error convolution now available for training, log_prob, posterior
• Improved the way flows are loaded from a file to make more backwards compatible
• Added the centered beta distribution (CentBeta)
• Conditions are now automatically standard scaled before being fed to the neural networks inside the normalizing flow. The appropriate means and stds are calculated and stored during training.
• Added a FlowEnsemble class for easily training a deep ensemble of models
• Added example notebooks for error convolution and FlowEnsemble