inferpy.inference.variational package

Subpackages

• inferpy.inference.variational.loss_functions package
  • Submodules
  • inferpy.inference.variational.loss_functions.elbo module
  • Module contents

Submodules

inferpy.inference.variational.svi module

class inferpy.inference.variational.svi.SVI(*args, batch_size=100, **kwargs)

Bases: inferpy.inference.variational.vi.VI

compile(pmodel, data_size, extra_loss_tensor=None)

create_input_data_tensor(data_loader)

update(data)

inferpy.inference.variational.vi module

class inferpy.inference.variational.vi.VI(qmodel, loss='ELBO', optimizer='AdamOptimizer', epochs=1000)

Bases: inferpy.inference.inference.Inference

compile(pmodel, data_size, extra_loss_tensor=None)

get_interceptable_condition_variables()

property losses

posterior(target_names=None, data={})

posterior_predictive(target_names=None, data={})

update(data)

Module contents