mgplvm.models.lgplvm module
- class mgplvm.models.lgplvm.Lgplvm(n, m, d, n_samples, lat_dist, lprior, Bayesian=True, Y=None, learn_neuron_scale=False, ard=False, learn_scale=None, sigma=None, C=None)[source]
Bases:
mgplvm.models.gplvm.Gplvm
- name = 'Lgplvm'
- training: bool
- class mgplvm.models.lgplvm.Lvgplvm(n, m, d, n_samples, lat_dist, lprior, likelihood, tied_samples=True, learn_neuron_scale=False, ard=False, learn_scale=None, Y=None, rel_scale=1, Bayesian=True, C=None, q_mu=None, q_sqrt=None, scale=None, dim_scale=None, neuron_scale=None)[source]
Bases:
mgplvm.models.gplvm.Gplvm
- name = 'Lvgplvm'
- training: bool