loadest_gp.models.pymc

loadest_gp.models.pymc#

Classes

LoadestGPMarginalPyMC([model_config])

Gaussian Process implementation of the LOAD ESTimation (LOADEST) model
class loadest_gp.models.pymc.LoadestGPMarginalPyMC(model_config: ModelConfig = ModelConfig(transform='log'))#

Gaussian Process implementation of the LOAD ESTimation (LOADEST) model

This model currrently uses the marginal likelihood implementation, which is fast but does not account for censored data. Censored data require a slower latent variable implementation.

build_model(X, y) → Model#

Build marginal likelihood version of LoadestGP

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