= torch.distributions.uniform.Uniform(0., 5.).sample((10,))
t = torch.sort(t)[0]
t = torch.randn_like(t) y
plot
Plotting functionality
A function to make a scatterplot, along with some marks along the horizontal axis.
partially_observed_time_series
partially_observed_time_series (observed_t:torch.Tensor, observed_y:torch.Tensor, to_predict_at_t:torch.Tensor)
Some test data
8], y[:8], t[8:]); partially_observed_time_series(t[: