syne_tune.optimizer.schedulers.searchers.bayesopt.gpautograd.independent package
Submodules
- syne_tune.optimizer.schedulers.searchers.bayesopt.gpautograd.independent.gpind_model module
- syne_tune.optimizer.schedulers.searchers.bayesopt.gpautograd.independent.likelihood module
IndependentGPPerResourceMarginalLikelihoodIndependentGPPerResourceMarginalLikelihood.get_posterior_state()IndependentGPPerResourceMarginalLikelihood.forward()IndependentGPPerResourceMarginalLikelihood.param_encoding_pairs()IndependentGPPerResourceMarginalLikelihood.get_noise_variance()IndependentGPPerResourceMarginalLikelihood.get_covariance_scale()IndependentGPPerResourceMarginalLikelihood.set_covariance_scale()IndependentGPPerResourceMarginalLikelihood.get_params()IndependentGPPerResourceMarginalLikelihood.set_params()IndependentGPPerResourceMarginalLikelihood.on_fit_start()
- syne_tune.optimizer.schedulers.searchers.bayesopt.gpautograd.independent.posterior_state module
IndependentGPPerResourcePosteriorStateIndependentGPPerResourcePosteriorState.state()IndependentGPPerResourcePosteriorState.num_dataIndependentGPPerResourcePosteriorState.num_featuresIndependentGPPerResourcePosteriorState.num_fantasiesIndependentGPPerResourcePosteriorState.neg_log_likelihood()IndependentGPPerResourcePosteriorState.predict()IndependentGPPerResourcePosteriorState.sample_marginals()IndependentGPPerResourcePosteriorState.sample_joint()IndependentGPPerResourcePosteriorState.backward_gradient()