v0.3.5

• Improve accuracy of time interval to display training progress
• Add error when prediction data is of wrong shape
• Accept torch.Tensor for Data and DataSet
• Bugfixes and 10% speed improvement due to caching parameter transformation
• Default to float32 instead of float64 for PyTorch, this will reduce memory usage by default. Use mogptk.gpr.use_double_precision() to revert to the previous default.