| vpdfl_axis_gaussian | Multi-variate Gaussian PDF, with a diagonal covariance matrix |
| vpdfl_axis_gaussian_builder | Class to build vpdfl_axis_gaussian objects |
| vpdfl_axis_gaussian_sampler | Samples from an axis aligned Gaussian PDF |
| vpdfl_builder_base | Base for classes to build vpdfl_pdf_base objects |
| vpdfl_gaussian | Class for multi-variate gaussians with arbitrary axes |
| vpdfl_gaussian_builder | Class to build vpdfl_gaussian objects |
| vpdfl_gaussian_kernel_pdf | Multi-variate spherical gaussian kernel PDF |
| vpdfl_gaussian_kernel_pdf_builder | Class to build vpdfl_gaussian_kernel_pdf objects |
| vpdfl_gaussian_kernel_pdf_sampler | Samples from an axis aligned Gaussian PDF |
| vpdfl_gaussian_sampler | Samples from a Gaussian PDF |
| vpdfl_kernel_pdf | Multi-variate kernel PDF |
| vpdfl_kernel_pdf_builder | Build kernel pdf objects |
| vpdfl_mixture | Represents a mixture model (a set of individual pdfs + weights) |
| vpdfl_mixture_builder | Uses the EM algorithm to build vpdfl_mixture objects |
| vpdfl_mixture_sampler | Instance class for vpdfl_mixture |
| vpdfl_pc_gaussian | Multi-variate principal Component Gaussian PDF |
| vpdfl_pc_gaussian_builder | Class to build vpdfl_pc_gaussian objects with a fixed number of principle components |
| vpdfl_pc_gaussian_sampler | Multi-Variate Axis-Aligned principal component Gaussian PDF |
| vpdfl_pdf_base | Base class for Multi-Variate Probability Density Function classes |
| vpdfl_sampler_base | Base class for Multi-Variate Random Sampler classes |
1.7.5.1