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.