Teetool Probabilistic modelling of trajectories

Class List
Here are the classes, structs, unions and interfaces with brief descriptions:
[detail level 1 2 3]

▼N teetool | This module contains the Basis class
▼N basis |
C Basis | Basis class supports the evaluation of a basis function
▼N gaussianprocess |
C GaussianProcess | GaussianProcess class evaluates an ensemble of trajectories as a Gaussian process
▼N model |
C Model | Model class provides the interface to the probabilistic modelling of trajectories
▼N visual_2d |
C Visual_2d | Visual_2d class generates the 2d output using Matplotlib
▼N visual_3d |
C Visual_3d | Visual_3d class generates the 3d output using Mayavi
▼N world |
C World | World class handles all trajectory data