1.1.2. svGPFA.simulations package#

1.1.2.1. Submodules#

1.1.2.2. svGPFA.simulations.simulations module#

class svGPFA.simulations.simulations.BaseSimulator[source]#

Bases: object

getCIF(n_trials, latents_samples, C, d, link_function)[source]#
simulate(cif_trials_times, cif_values, sampling_func=<function sampleInhomogeneousPP_thinning>)[source]#
class svGPFA.simulations.simulations.GPFASimulator[source]#

Bases: BaseSimulator

getLatentsSamplesMeansAndSTDs(n_trials, means_funcs, kernels, trials_times, prior_cov_reg_param, dtype)[source]#
class svGPFA.simulations.simulations.GPFAwithIndPointsSimulator[source]#

Bases: BaseSimulator

getLatentsSamplesMeansAndSTDs(var_mean, var_cov, kernels, ind_points_locs, trials_times, prior_cov_reg_param, latents_cov_reg_param, dtype)[source]#

1.1.2.3. svGPFA.simulations.utils module#

svGPFA.simulations.utils.getTrueVariationalMean(t, latent_mean, inducing_points_locs, kernel)[source]#

1.1.2.4. Module contents#