Revision 7b0499b56545501fdd4584172fc9a5f9e168eb3b authored by Benchmarks Bot on 03 April 2023, 11:14:35 UTC, committed by Benchmarks Bot on 03 April 2023, 11:14:35 UTC
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<h1 id="index">Index</h1>
<div class="genindex-jumpbox">
<a href="#_"><strong>_</strong></a>
| <a href="#A"><strong>A</strong></a>
| <a href="#B"><strong>B</strong></a>
| <a href="#C"><strong>C</strong></a>
| <a href="#D"><strong>D</strong></a>
| <a href="#E"><strong>E</strong></a>
| <a href="#F"><strong>F</strong></a>
| <a href="#G"><strong>G</strong></a>
| <a href="#H"><strong>H</strong></a>
| <a href="#I"><strong>I</strong></a>
| <a href="#J"><strong>J</strong></a>
| <a href="#K"><strong>K</strong></a>
| <a href="#L"><strong>L</strong></a>
| <a href="#M"><strong>M</strong></a>
| <a href="#N"><strong>N</strong></a>
| <a href="#O"><strong>O</strong></a>
| <a href="#P"><strong>P</strong></a>
| <a href="#Q"><strong>Q</strong></a>
| <a href="#R"><strong>R</strong></a>
| <a href="#S"><strong>S</strong></a>
| <a href="#T"><strong>T</strong></a>
| <a href="#U"><strong>U</strong></a>
| <a href="#V"><strong>V</strong></a>
| <a href="#W"><strong>W</strong></a>
| <a href="#X"><strong>X</strong></a>
| <a href="#Z"><strong>Z</strong></a>
</div>
<h2 id="_">_</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gpflow/kullback_leiblers/index.html#gpflow.kullback_leiblers._">_() (in module gpflow.kullback_leiblers)</a>
</li>
<li><a href="api/gpflow/conditionals/index.html#gpflow.conditionals.conditionals._dense_conditional">_dense_conditional() (in module gpflow.conditionals.conditionals)</a>
</li>
<li><a href="api/gpflow/posteriors/index.html#gpflow.posteriors._get_posterior_base_case">_get_posterior_base_case() (in module gpflow.posteriors)</a>
</li>
<li><a href="api/gpflow/posteriors/index.html#gpflow.posteriors._get_posterior_fully_correlated_mo">_get_posterior_fully_correlated_mo() (in module gpflow.posteriors)</a>
</li>
<li><a href="api/gpflow/posteriors/index.html#gpflow.posteriors._get_posterior_independent_mo">_get_posterior_independent_mo() (in module gpflow.posteriors)</a>
</li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gpflow/posteriors/index.html#gpflow.posteriors._get_posterior_independentlatent_mo_fallback">_get_posterior_independentlatent_mo_fallback() (in module gpflow.posteriors)</a>
</li>
<li><a href="api/gpflow/posteriors/index.html#gpflow.posteriors._get_posterior_linearcoregionalization_mo_efficient">_get_posterior_linearcoregionalization_mo_efficient() (in module gpflow.posteriors)</a>
</li>
<li><a href="api/gpflow/conditionals/index.html#gpflow.conditionals.multioutput.sample_conditionals._sample_conditional">_sample_conditional() (in module gpflow.conditionals.multioutput.sample_conditionals)</a>
<ul>
<li><a href="api/gpflow/conditionals/index.html#gpflow.conditionals.sample_conditionals._sample_conditional">(in module gpflow.conditionals.sample_conditionals)</a>
</li>
</ul></li>
<li><a href="api/gpflow/conditionals/index.html#gpflow.conditionals.conditionals._sparse_conditional">_sparse_conditional() (in module gpflow.conditionals.conditionals)</a>
</li>
</ul></td>
</tr></table>
<h2 id="A">A</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gpflow/models/sgpr/index.html#gpflow.models.sgpr.SGPR_deprecated.CommonTensors.A">A (gpflow.models.sgpr.SGPR_deprecated.CommonTensors attribute)</a>
</li>
<li><a href="api/gpflow/models/sgpr/index.html#gpflow.models.sgpr.SGPR_deprecated.CommonTensors.AAT">AAT (gpflow.models.sgpr.SGPR_deprecated.CommonTensors attribute)</a>
</li>
<li><a href="api/gpflow/posteriors/index.html#gpflow.posteriors.AbstractPosterior">AbstractPosterior (class in gpflow.posteriors)</a>
</li>
<li><a href="api/gpflow/utilities/index.html#gpflow.utilities.add_likelihood_noise_cov">add_likelihood_noise_cov() (in module gpflow.utilities)</a>
</li>
<li><a href="api/gpflow/utilities/index.html#gpflow.utilities.add_noise_cov">add_noise_cov() (in module gpflow.utilities)</a>
</li>
<li><a href="api/gpflow/functions/index.html#gpflow.functions.Additive">Additive (class in gpflow.functions)</a>
</li>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.AnisotropicStationary">AnisotropicStationary (class in gpflow.kernels)</a>
</li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.ArcCosine">ArcCosine (class in gpflow.kernels)</a>
</li>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.ArcCosine.ard">ard (gpflow.kernels.ArcCosine property)</a>
<ul>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.Linear.ard">(gpflow.kernels.Linear property)</a>
</li>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.Stationary.ard">(gpflow.kernels.Stationary property)</a>
</li>
</ul></li>
<li><a href="api/gpflow/config/index.html#gpflow.config.as_context">as_context() (in module gpflow.config)</a>
</li>
<li><a href="api/gpflow/utilities/index.html#gpflow.utilities.assert_params_false">assert_params_false() (in module gpflow.utilities)</a>
</li>
<li><a href="api/gpflow/index.html#gpflow.Parameter.assign">assign() (gpflow.Parameter method)</a>
</li>
<li><a href="api/gpflow/posteriors/index.html#gpflow.posteriors.PrecomputedValue.axis_dynamic">axis_dynamic (gpflow.posteriors.PrecomputedValue attribute)</a>
</li>
</ul></td>
</tr></table>
<h2 id="B">B</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gpflow/models/sgpr/index.html#gpflow.models.sgpr.SGPR_deprecated.CommonTensors.B">B (gpflow.models.sgpr.SGPR_deprecated.CommonTensors attribute)</a>
</li>
<li><a href="api/gpflow/conditionals/index.html#gpflow.conditionals.base_conditional">base_conditional() (in module gpflow.conditionals)</a>
</li>
<li><a href="api/gpflow/conditionals/util/index.html#gpflow.conditionals.util.base_conditional_with_lm">base_conditional_with_lm() (in module gpflow.conditionals.util)</a>
</li>
<li><a href="api/gpflow/posteriors/index.html#gpflow.posteriors.BasePosterior">BasePosterior (class in gpflow.posteriors)</a>
</li>
<li><a href="api/gpflow/models/index.html#gpflow.models.BayesianGPLVM">BayesianGPLVM (class in gpflow.models)</a>
</li>
<li><a href="api/gpflow/models/index.html#gpflow.models.BayesianModel">BayesianModel (class in gpflow.models)</a>
</li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gpflow/likelihoods/index.html#gpflow.likelihoods.Bernoulli">Bernoulli (class in gpflow.likelihoods)</a>
</li>
<li><a href="api/gpflow/logdensities/index.html#gpflow.logdensities.bernoulli">bernoulli() (in module gpflow.logdensities)</a>
</li>
<li><a href="api/gpflow/likelihoods/index.html#gpflow.likelihoods.Beta">Beta (class in gpflow.likelihoods)</a>
</li>
<li><a href="api/gpflow/logdensities/index.html#gpflow.logdensities.beta">beta() (in module gpflow.logdensities)</a>
</li>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.Bias">Bias (in module gpflow.kernels)</a>
</li>
<li><a href="api/gpflow/utilities/ops/index.html#gpflow.utilities.ops.broadcasting_elementwise">broadcasting_elementwise() (in module gpflow.utilities.ops)</a>
</li>
</ul></td>
</tr></table>
<h2 id="C">C</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gpflow/models/index.html#gpflow.models.GPModel.calc_num_latent_gps">calc_num_latent_gps() (gpflow.models.GPModel static method)</a>
</li>
<li><a href="api/gpflow/models/index.html#gpflow.models.GPModel.calc_num_latent_gps_from_data">calc_num_latent_gps_from_data() (gpflow.models.GPModel static method)</a>
</li>
<li><a href="api/gpflow/models/index.html#gpflow.models.CGLB">CGLB (class in gpflow.models)</a>
</li>
<li><a href="api/gpflow/models/cglb/index.html#gpflow.models.cglb.cglb_conjugate_gradient">cglb_conjugate_gradient() (in module gpflow.models.cglb)</a>
</li>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.ChangePoints">ChangePoints (class in gpflow.kernels)</a>
</li>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.Combination">Combination (class in gpflow.kernels)</a>
</li>
<li><a href="api/gpflow/type_flags/index.html#gpflow.type_flags.compute_mypy_flags">compute_mypy_flags() (in module gpflow.type_flags)</a>
</li>
<li><a href="api/gpflow/functions/index.html#gpflow.functions.Polynomial.compute_powers">compute_powers() (gpflow.functions.Polynomial static method)</a>
</li>
<li><a href="api/gpflow/models/sgpr/index.html#gpflow.models.sgpr.SGPR_deprecated.compute_qu">compute_qu() (gpflow.models.sgpr.SGPR_deprecated method)</a>
</li>
<li><a href="api/gpflow/likelihoods/index.html#gpflow.likelihoods.Likelihood.conditional_mean">conditional_mean() (gpflow.likelihoods.Likelihood method)</a>
</li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gpflow/likelihoods/index.html#gpflow.likelihoods.Likelihood.conditional_variance">conditional_variance() (gpflow.likelihoods.Likelihood method)</a>
</li>
<li><a href="api/gpflow/config/index.html#gpflow.config.Config">Config (class in gpflow.config)</a>
</li>
<li><a href="api/gpflow/config/index.html#gpflow.config.config">config() (in module gpflow.config)</a>
</li>
<li><a href="api/gpflow/functions/index.html#gpflow.functions.Constant">Constant (class in gpflow.functions)</a>
</li>
<li><a href="api/gpflow/optimizers/index.html#gpflow.optimizers.SamplingHelper.convert_to_constrained_values">convert_to_constrained_values() (gpflow.optimizers.SamplingHelper method)</a>
</li>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.Convolutional">Convolutional (class in gpflow.kernels)</a>
</li>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.Coregion">Coregion (class in gpflow.kernels)</a>
</li>
<li><a href="api/gpflow/conditionals/index.html#gpflow.conditionals.multioutput.conditionals.coregionalization_conditional">coregionalization_conditional() (in module gpflow.conditionals.multioutput.conditionals)</a>
</li>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.Cosine">Cosine (class in gpflow.kernels)</a>
</li>
<li><a href="api/gpflow/posteriors/index.html#gpflow.posteriors.create_posterior">create_posterior() (in module gpflow.posteriors)</a>
</li>
<li><a href="api/gpflow/optimizers/index.html#gpflow.optimizers.SamplingHelper.current_state">current_state (gpflow.optimizers.SamplingHelper property)</a>
</li>
</ul></td>
</tr></table>
<h2 id="D">D</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gpflow/models/util/index.html#gpflow.models.util.data_input_to_tensor">data_input_to_tensor() (in module gpflow.models.util)</a>
</li>
<li><a href="api/gpflow/utilities/index.html#gpflow.utilities.deepcopy">deepcopy() (in module gpflow.utilities)</a>
</li>
<li><a href="api/gpflow/index.html#gpflow.default_float">default_float() (in module gpflow)</a>
</li>
<li><a href="api/gpflow/index.html#gpflow.default_int">default_int() (in module gpflow)</a>
</li>
<li><a href="api/gpflow/index.html#gpflow.default_jitter">default_jitter() (in module gpflow)</a>
</li>
<li><a href="api/gpflow/config/index.html#gpflow.config.default_positive_bijector">default_positive_bijector() (in module gpflow.config)</a>
</li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gpflow/config/index.html#gpflow.config.default_positive_minimum">default_positive_minimum() (in module gpflow.config)</a>
</li>
<li><a href="api/gpflow/config/index.html#gpflow.config.default_summary_fmt">default_summary_fmt() (in module gpflow.config)</a>
</li>
<li><a href="api/gpflow/probability_distributions/index.html#gpflow.probability_distributions.DiagonalGaussian">DiagonalGaussian (class in gpflow.probability_distributions)</a>
</li>
<li><a href="api/gpflow/utilities/ops/index.html#gpflow.utilities.ops.difference_matrix">difference_matrix() (in module gpflow.utilities.ops)</a>
</li>
<li><a href="api/gpflow/utilities/index.html#gpflow.utilities.Dispatcher.dispatch">dispatch() (gpflow.utilities.Dispatcher method)</a>
</li>
<li><a href="api/gpflow/utilities/index.html#gpflow.utilities.Dispatcher.dispatch_or_raise">dispatch_or_raise() (gpflow.utilities.Dispatcher method)</a>
</li>
<li><a href="api/gpflow/utilities/index.html#gpflow.utilities.Dispatcher">Dispatcher (class in gpflow.utilities)</a>
</li>
</ul></td>
</tr></table>
<h2 id="E">E</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gpflow/models/index.html#gpflow.models.BayesianGPLVM.elbo">elbo() (gpflow.models.BayesianGPLVM method)</a>
<ul>
<li><a href="api/gpflow/models/sgpr/index.html#gpflow.models.sgpr.SGPR_deprecated.elbo">(gpflow.models.sgpr.SGPR_deprecated method)</a>
</li>
<li><a href="api/gpflow/models/svgp/index.html#gpflow.models.svgp.SVGP_deprecated.elbo">(gpflow.models.svgp.SVGP_deprecated method)</a>
</li>
<li><a href="api/gpflow/models/vgp/index.html#gpflow.models.vgp.VGP_deprecated.elbo">(gpflow.models.vgp.VGP_deprecated method)</a>
</li>
<li><a href="api/gpflow/models/index.html#gpflow.models.VGPOpperArchambeau.elbo">(gpflow.models.VGPOpperArchambeau method)</a>
</li>
</ul></li>
<li><a href="api/gpflow/utilities/parameter_or_function/index.html#gpflow.utilities.parameter_or_function.evaluate_parameter_or_function">evaluate_parameter_or_function() (in module gpflow.utilities.parameter_or_function)</a>
</li>
<li><a href="api/gpflow/monitor/index.html#gpflow.monitor.ExecuteCallback">ExecuteCallback (class in gpflow.monitor)</a>
</li>
<li><a href="api/gpflow/conditionals/util/index.html#gpflow.conditionals.util.expand_independent_outputs">expand_independent_outputs() (in module gpflow.conditionals.util)</a>
</li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gpflow/expectations/index.html#gpflow.expectations.expectation">expectation() (in module gpflow.expectations)</a>
</li>
<li><a href="api/gpflow/optimizers/natgrad/index.html#gpflow.optimizers.natgrad.expectation_to_meanvarsqrt">expectation_to_meanvarsqrt() (in module gpflow.optimizers.natgrad)</a>
</li>
<li><a href="api/gpflow/optimizers/natgrad/index.html#gpflow.optimizers.natgrad.expectation_to_natural">expectation_to_natural() (in module gpflow.optimizers.natgrad)</a>
</li>
<li><a href="api/gpflow/experimental/utils/index.html#gpflow.experimental.utils.experimental">experimental() (in module gpflow.experimental.utils)</a>
</li>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.Exponential">Exponential (class in gpflow.kernels)</a>
<ul>
<li><a href="api/gpflow/likelihoods/index.html#gpflow.likelihoods.Exponential">(class in gpflow.likelihoods)</a>
</li>
</ul></li>
<li><a href="api/gpflow/logdensities/index.html#gpflow.logdensities.exponential">exponential() (in module gpflow.logdensities)</a>
</li>
<li><a href="api/gpflow/models/index.html#gpflow.models.ExternalDataTrainingLossMixin">ExternalDataTrainingLossMixin (class in gpflow.models)</a>
</li>
<li><a href="api/gpflow/utilities/ops/index.html#gpflow.utilities.ops.eye">eye() (in module gpflow.utilities.ops)</a>
</li>
</ul></td>
</tr></table>
<h2 id="F">F</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gpflow/conditionals/index.html#gpflow.conditionals.multioutput.conditionals.fallback_independent_latent_conditional">fallback_independent_latent_conditional() (in module gpflow.conditionals.multioutput.conditionals)</a>
</li>
<li><a href="api/gpflow/posteriors/index.html#gpflow.posteriors.FallbackIndependentLatentPosterior">FallbackIndependentLatentPosterior (class in gpflow.posteriors)</a>
</li>
<li><a href="api/gpflow/inducing_variables/index.html#gpflow.inducing_variables.FallbackSeparateIndependentInducingVariables">FallbackSeparateIndependentInducingVariables (class in gpflow.inducing_variables)</a>
</li>
<li><a href="api/gpflow/inducing_variables/index.html#gpflow.inducing_variables.FallbackSharedIndependentInducingVariables">FallbackSharedIndependentInducingVariables (class in gpflow.inducing_variables)</a>
</li>
<li><a href="api/gpflow/models/index.html#gpflow.models.GPRFITC.fitc_log_marginal_likelihood">fitc_log_marginal_likelihood() (gpflow.models.GPRFITC method)</a>
</li>
<li><a href="api/gpflow/config/index.html#gpflow.config.Config.float">float (gpflow.config.Config attribute)</a>
</li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gpflow/utilities/index.html#gpflow.utilities.freeze">freeze() (in module gpflow.utilities)</a>
</li>
<li><a href="api/gpflow/conditionals/util/index.html#gpflow.conditionals.util.fully_correlated_conditional">fully_correlated_conditional() (in module gpflow.conditionals.util)</a>
</li>
<li><a href="api/gpflow/conditionals/util/index.html#gpflow.conditionals.util.fully_correlated_conditional_repeat">fully_correlated_conditional_repeat() (in module gpflow.conditionals.util)</a>
</li>
<li><a href="api/gpflow/posteriors/index.html#gpflow.posteriors.FullyCorrelatedPosterior">FullyCorrelatedPosterior (class in gpflow.posteriors)</a>
</li>
<li><a href="api/gpflow/functions/index.html#gpflow.functions.Function">Function (class in gpflow.functions)</a>
</li>
<li><a href="api/gpflow/posteriors/index.html#gpflow.posteriors.AbstractPosterior.fused_predict_f">fused_predict_f() (gpflow.posteriors.AbstractPosterior method)</a>
</li>
</ul></td>
</tr></table>
<h2 id="G">G</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gpflow/likelihoods/index.html#gpflow.likelihoods.Gamma">Gamma (class in gpflow.likelihoods)</a>
</li>
<li><a href="api/gpflow/logdensities/index.html#gpflow.logdensities.gamma">gamma() (in module gpflow.logdensities)</a>
</li>
<li><a href="api/gpflow/kullback_leiblers/index.html#gpflow.kullback_leiblers.gauss_kl">gauss_kl() (in module gpflow.kullback_leiblers)</a>
</li>
<li><a href="api/gpflow/likelihoods/index.html#gpflow.likelihoods.Gaussian">Gaussian (class in gpflow.likelihoods)</a>
<ul>
<li><a href="api/gpflow/probability_distributions/index.html#gpflow.probability_distributions.Gaussian">(class in gpflow.probability_distributions)</a>
</li>
</ul></li>
<li><a href="api/gpflow/logdensities/index.html#gpflow.logdensities.gaussian">gaussian() (in module gpflow.logdensities)</a>
</li>
<li><a href="api/gpflow/likelihoods/index.html#gpflow.likelihoods.GaussianMC">GaussianMC (class in gpflow.likelihoods)</a>
</li>
<li><a href="api/gpflow/quadrature/index.html#gpflow.quadrature.GaussianQuadrature">GaussianQuadrature (class in gpflow.quadrature)</a>
</li>
<li><a href="api/gpflow/optimizers/index.html#gpflow.optimizers.NaturalGradient.get_config">get_config() (gpflow.optimizers.NaturalGradient method)</a>
</li>
<li><a href="api/gpflow/expectations/quadratures/index.html#gpflow.expectations.quadratures.get_eval_func">get_eval_func() (in module gpflow.expectations.quadratures)</a>
</li>
<li><a href="api/gpflow/utilities/index.html#gpflow.utilities.Dispatcher.get_first_occurrence">get_first_occurrence() (gpflow.utilities.Dispatcher method)</a>
</li>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.Convolutional.get_patches">get_patches() (gpflow.kernels.Convolutional method)</a>
</li>
<li><a href="api/gpflow/posteriors/index.html#gpflow.posteriors.get_precomputed_value_shape">get_precomputed_value_shape() (in module gpflow.posteriors)</a>
</li>
<li><a href="api/gpflow/probability_distributions/index.html#gpflow.probability_distributions.get_probability_distribution_shape">get_probability_distribution_shape() (in module gpflow.probability_distributions)</a>
</li>
<li><a href="api/gpflow/quadrature/gauss_hermite/index.html#gpflow.quadrature.gauss_hermite.gh_points_and_weights">gh_points_and_weights() (in module gpflow.quadrature.gauss_hermite)</a>
</li>
<li>
gpflow
<ul>
<li><a href="api/gpflow/index.html#module-gpflow">module</a>
</li>
</ul></li>
<li>
gpflow.base
<ul>
<li><a href="api/gpflow/base/index.html#module-gpflow.base">module</a>
</li>
</ul></li>
<li>
gpflow.conditionals
<ul>
<li><a href="api/gpflow/conditionals/index.html#module-gpflow.conditionals">module</a>
</li>
</ul></li>
<li>
gpflow.conditionals.util
<ul>
<li><a href="api/gpflow/conditionals/util/index.html#module-gpflow.conditionals.util">module</a>
</li>
</ul></li>
<li>
gpflow.config
<ul>
<li><a href="api/gpflow/config/index.html#module-gpflow.config">module</a>
</li>
</ul></li>
<li>
gpflow.covariances
<ul>
<li><a href="api/gpflow/covariances/index.html#module-gpflow.covariances">module</a>
</li>
</ul></li>
<li>
gpflow.expectations
<ul>
<li><a href="api/gpflow/expectations/index.html#module-gpflow.expectations">module</a>
</li>
</ul></li>
<li>
gpflow.expectations.quadratures
<ul>
<li><a href="api/gpflow/expectations/quadratures/index.html#module-gpflow.expectations.quadratures">module</a>
</li>
</ul></li>
<li>
gpflow.experimental
<ul>
<li><a href="api/gpflow/experimental/index.html#module-gpflow.experimental">module</a>
</li>
</ul></li>
<li>
gpflow.experimental.utils
<ul>
<li><a href="api/gpflow/experimental/utils/index.html#module-gpflow.experimental.utils">module</a>
</li>
</ul></li>
<li>
gpflow.functions
<ul>
<li><a href="api/gpflow/functions/index.html#module-gpflow.functions">module</a>
</li>
</ul></li>
<li>
gpflow.inducing_variables
<ul>
<li><a href="api/gpflow/inducing_variables/index.html#module-gpflow.inducing_variables">module</a>
</li>
</ul></li>
<li>
gpflow.inducing_variables.inducing_variables
<ul>
<li><a href="api/gpflow/inducing_variables/inducing_variables/index.html#module-gpflow.inducing_variables.inducing_variables">module</a>
</li>
</ul></li>
<li>
gpflow.kernels
<ul>
<li><a href="api/gpflow/kernels/index.html#module-gpflow.kernels">module</a>
</li>
</ul></li>
<li>
gpflow.kernels.base
<ul>
<li><a href="api/gpflow/kernels/base/index.html#module-gpflow.kernels.base">module</a>
</li>
</ul></li>
<li>
gpflow.kullback_leiblers
<ul>
<li><a href="api/gpflow/kullback_leiblers/index.html#module-gpflow.kullback_leiblers">module</a>
</li>
</ul></li>
<li>
gpflow.likelihoods
<ul>
<li><a href="api/gpflow/likelihoods/index.html#module-gpflow.likelihoods">module</a>
</li>
</ul></li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li>
gpflow.likelihoods.utils
<ul>
<li><a href="api/gpflow/likelihoods/utils/index.html#module-gpflow.likelihoods.utils">module</a>
</li>
</ul></li>
<li>
gpflow.logdensities
<ul>
<li><a href="api/gpflow/logdensities/index.html#module-gpflow.logdensities">module</a>
</li>
</ul></li>
<li>
gpflow.models
<ul>
<li><a href="api/gpflow/models/index.html#module-gpflow.models">module</a>
</li>
</ul></li>
<li>
gpflow.models.cglb
<ul>
<li><a href="api/gpflow/models/cglb/index.html#module-gpflow.models.cglb">module</a>
</li>
</ul></li>
<li>
gpflow.models.gpr
<ul>
<li><a href="api/gpflow/models/gpr/index.html#module-gpflow.models.gpr">module</a>
</li>
</ul></li>
<li>
gpflow.models.sgpr
<ul>
<li><a href="api/gpflow/models/sgpr/index.html#module-gpflow.models.sgpr">module</a>
</li>
</ul></li>
<li>
gpflow.models.svgp
<ul>
<li><a href="api/gpflow/models/svgp/index.html#module-gpflow.models.svgp">module</a>
</li>
</ul></li>
<li>
gpflow.models.util
<ul>
<li><a href="api/gpflow/models/util/index.html#module-gpflow.models.util">module</a>
</li>
</ul></li>
<li>
gpflow.models.vgp
<ul>
<li><a href="api/gpflow/models/vgp/index.html#module-gpflow.models.vgp">module</a>
</li>
</ul></li>
<li>
gpflow.monitor
<ul>
<li><a href="api/gpflow/monitor/index.html#module-gpflow.monitor">module</a>
</li>
</ul></li>
<li>
gpflow.optimizers
<ul>
<li><a href="api/gpflow/optimizers/index.html#module-gpflow.optimizers">module</a>
</li>
</ul></li>
<li>
gpflow.optimizers.natgrad
<ul>
<li><a href="api/gpflow/optimizers/natgrad/index.html#module-gpflow.optimizers.natgrad">module</a>
</li>
</ul></li>
<li>
gpflow.posteriors
<ul>
<li><a href="api/gpflow/posteriors/index.html#module-gpflow.posteriors">module</a>
</li>
</ul></li>
<li>
gpflow.probability_distributions
<ul>
<li><a href="api/gpflow/probability_distributions/index.html#module-gpflow.probability_distributions">module</a>
</li>
</ul></li>
<li>
gpflow.quadrature
<ul>
<li><a href="api/gpflow/quadrature/index.html#module-gpflow.quadrature">module</a>
</li>
</ul></li>
<li>
gpflow.quadrature.gauss_hermite
<ul>
<li><a href="api/gpflow/quadrature/gauss_hermite/index.html#module-gpflow.quadrature.gauss_hermite">module</a>
</li>
</ul></li>
<li>
gpflow.type_flags
<ul>
<li><a href="api/gpflow/type_flags/index.html#module-gpflow.type_flags">module</a>
</li>
</ul></li>
<li>
gpflow.utilities
<ul>
<li><a href="api/gpflow/utilities/index.html#module-gpflow.utilities">module</a>
</li>
</ul></li>
<li>
gpflow.utilities.ops
<ul>
<li><a href="api/gpflow/utilities/ops/index.html#module-gpflow.utilities.ops">module</a>
</li>
</ul></li>
<li>
gpflow.utilities.parameter_or_function
<ul>
<li><a href="api/gpflow/utilities/parameter_or_function/index.html#module-gpflow.utilities.parameter_or_function">module</a>
</li>
</ul></li>
<li><a href="api/gpflow/models/index.html#gpflow.models.GPLVM">GPLVM (class in gpflow.models)</a>
</li>
<li><a href="api/gpflow/models/index.html#gpflow.models.GPMC">GPMC (class in gpflow.models)</a>
</li>
<li><a href="api/gpflow/models/index.html#gpflow.models.GPModel">GPModel (class in gpflow.models)</a>
</li>
<li><a href="api/gpflow/models/index.html#gpflow.models.GPR">GPR (class in gpflow.models)</a>
</li>
<li><a href="api/gpflow/models/gpr/index.html#gpflow.models.gpr.GPR_deprecated">GPR_deprecated (class in gpflow.models.gpr)</a>
</li>
<li><a href="api/gpflow/models/gpr/index.html#gpflow.models.gpr.GPR_with_posterior">GPR_with_posterior (class in gpflow.models.gpr)</a>
</li>
<li><a href="api/gpflow/models/index.html#gpflow.models.GPRFITC">GPRFITC (class in gpflow.models)</a>
</li>
<li><a href="api/gpflow/posteriors/index.html#gpflow.posteriors.GPRPosterior">GPRPosterior (class in gpflow.posteriors)</a>
</li>
</ul></td>
</tr></table>
<h2 id="H">H</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gpflow/quadrature/index.html#gpflow.quadrature.hermgauss">hermgauss() (in module gpflow.quadrature)</a>
</li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gpflow/likelihoods/index.html#gpflow.likelihoods.HeteroskedasticTFPConditional">HeteroskedasticTFPConditional (class in gpflow.likelihoods)</a>
</li>
</ul></td>
</tr></table>
<h2 id="I">I</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gpflow/functions/index.html#gpflow.functions.Identity">Identity (class in gpflow.functions)</a>
</li>
<li><a href="api/gpflow/monitor/index.html#gpflow.monitor.ImageToTensorBoard">ImageToTensorBoard (class in gpflow.monitor)</a>
</li>
<li><a href="api/gpflow/conditionals/util/index.html#gpflow.conditionals.util.independent_interdomain_conditional">independent_interdomain_conditional() (in module gpflow.conditionals.util)</a>
</li>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.IndependentLatent">IndependentLatent (class in gpflow.kernels)</a>
</li>
<li><a href="api/gpflow/posteriors/index.html#gpflow.posteriors.IndependentPosterior">IndependentPosterior (class in gpflow.posteriors)</a>
</li>
<li><a href="api/gpflow/posteriors/index.html#gpflow.posteriors.IndependentPosteriorMultiOutput">IndependentPosteriorMultiOutput (class in gpflow.posteriors)</a>
</li>
<li><a href="api/gpflow/posteriors/index.html#gpflow.posteriors.IndependentPosteriorSingleOutput">IndependentPosteriorSingleOutput (class in gpflow.posteriors)</a>
</li>
<li><a href="api/gpflow/conditionals/index.html#gpflow.conditionals.multioutput.conditionals.inducing_point_conditional">inducing_point_conditional() (in module gpflow.conditionals.multioutput.conditionals)</a>
</li>
<li><a href="api/gpflow/inducing_variables/index.html#gpflow.inducing_variables.InducingPatches">InducingPatches (class in gpflow.inducing_variables)</a>
</li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gpflow/models/util/index.html#gpflow.models.util.inducingpoint_wrapper">inducingpoint_wrapper() (in module gpflow.models.util)</a>
</li>
<li><a href="api/gpflow/inducing_variables/index.html#gpflow.inducing_variables.InducingPoints">InducingPoints (class in gpflow.inducing_variables)</a>
</li>
<li><a href="api/gpflow/inducing_variables/inducing_variables/index.html#gpflow.inducing_variables.inducing_variables.InducingPointsBase">InducingPointsBase (class in gpflow.inducing_variables.inducing_variables)</a>
</li>
<li><a href="api/gpflow/inducing_variables/index.html#gpflow.inducing_variables.InducingVariables">InducingVariables (class in gpflow.inducing_variables)</a>
</li>
<li><a href="api/gpflow/config/index.html#gpflow.config.Config.int">int (gpflow.config.Config attribute)</a>
</li>
<li><a href="api/gpflow/models/index.html#gpflow.models.InternalDataTrainingLossMixin">InternalDataTrainingLossMixin (class in gpflow.models)</a>
</li>
<li><a href="api/gpflow/likelihoods/utils/index.html#gpflow.likelihoods.utils.inv_probit">inv_probit() (in module gpflow.likelihoods.utils)</a>
</li>
<li><a href="api/gpflow/utilities/index.html#gpflow.utilities.is_variable">is_variable() (in module gpflow.utilities)</a>
</li>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.IsotropicStationary">IsotropicStationary (class in gpflow.kernels)</a>
</li>
</ul></td>
</tr></table>
<h2 id="J">J</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gpflow/config/index.html#gpflow.config.Config.jitter">jitter (gpflow.config.Config attribute)</a>
</li>
</ul></td>
</tr></table>
<h2 id="K">K</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.LinearCoregionalization.K">K() (gpflow.kernels.LinearCoregionalization method)</a>
<ul>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.MultioutputKernel.K">(gpflow.kernels.MultioutputKernel method)</a>
</li>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.SeparateIndependent.K">(gpflow.kernels.SeparateIndependent method)</a>
</li>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.SharedIndependent.K">(gpflow.kernels.SharedIndependent method)</a>
</li>
</ul></li>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.LinearCoregionalization.K_diag">K_diag() (gpflow.kernels.LinearCoregionalization method)</a>
<ul>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.MultioutputKernel.K_diag">(gpflow.kernels.MultioutputKernel method)</a>
</li>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.SeparateIndependent.K_diag">(gpflow.kernels.SeparateIndependent method)</a>
</li>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.SharedIndependent.K_diag">(gpflow.kernels.SharedIndependent method)</a>
</li>
</ul></li>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.Kernel">Kernel (class in gpflow.kernels)</a>
</li>
<li><a href="api/gpflow/covariances/index.html#gpflow.covariances.kufs.Kuf_conv_patch">Kuf_conv_patch() (in module gpflow.covariances.kufs)</a>
</li>
<li><a href="api/gpflow/covariances/index.html#gpflow.covariances.multioutput.kufs.Kuf_fallback_separate_linear_coregionalization">Kuf_fallback_separate_linear_coregionalization() (in module gpflow.covariances.multioutput.kufs)</a>
</li>
<li><a href="api/gpflow/covariances/index.html#gpflow.covariances.multioutput.kufs.Kuf_fallback_shared_linear_coregionalization">Kuf_fallback_shared_linear_coregionalization() (in module gpflow.covariances.multioutput.kufs)</a>
</li>
<li><a href="api/gpflow/covariances/index.html#gpflow.covariances.multioutput.kufs.Kuf_generic">Kuf_generic() (in module gpflow.covariances.multioutput.kufs)</a>
</li>
<li><a href="api/gpflow/covariances/index.html#gpflow.covariances.kufs.Kuf_kernel_inducingpoints">Kuf_kernel_inducingpoints() (in module gpflow.covariances.kufs)</a>
</li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gpflow/covariances/index.html#gpflow.covariances.multioutput.kufs.Kuf_separate_linear_coregionalization">Kuf_separate_linear_coregionalization() (in module gpflow.covariances.multioutput.kufs)</a>
</li>
<li><a href="api/gpflow/covariances/index.html#gpflow.covariances.multioutput.kufs.Kuf_separate_separate">Kuf_separate_separate() (in module gpflow.covariances.multioutput.kufs)</a>
</li>
<li><a href="api/gpflow/covariances/index.html#gpflow.covariances.multioutput.kufs.Kuf_separate_shared">Kuf_separate_shared() (in module gpflow.covariances.multioutput.kufs)</a>
</li>
<li><a href="api/gpflow/covariances/index.html#gpflow.covariances.multioutput.kufs.Kuf_shared_linear_coregionalization">Kuf_shared_linear_coregionalization() (in module gpflow.covariances.multioutput.kufs)</a>
</li>
<li><a href="api/gpflow/covariances/index.html#gpflow.covariances.multioutput.kufs.Kuf_shared_separate">Kuf_shared_separate() (in module gpflow.covariances.multioutput.kufs)</a>
</li>
<li><a href="api/gpflow/covariances/index.html#gpflow.covariances.multioutput.kufs.Kuf_shared_shared">Kuf_shared_shared() (in module gpflow.covariances.multioutput.kufs)</a>
</li>
<li><a href="api/gpflow/covariances/index.html#gpflow.covariances.kufs.Kuf_sqexp_multiscale">Kuf_sqexp_multiscale() (in module gpflow.covariances.kufs)</a>
</li>
<li><a href="api/gpflow/covariances/index.html#gpflow.covariances.kuus.Kuu_conv_patch">Kuu_conv_patch() (in module gpflow.covariances.kuus)</a>
</li>
<li><a href="api/gpflow/covariances/index.html#gpflow.covariances.multioutput.kuus.Kuu_fallbace_separate">Kuu_fallbace_separate() (in module gpflow.covariances.multioutput.kuus)</a>
</li>
<li><a href="api/gpflow/covariances/index.html#gpflow.covariances.multioutput.kuus.Kuu_fallback_separate_shared">Kuu_fallback_separate_shared() (in module gpflow.covariances.multioutput.kuus)</a>
</li>
<li><a href="api/gpflow/covariances/index.html#gpflow.covariances.multioutput.kuus.Kuu_fallback_shared">Kuu_fallback_shared() (in module gpflow.covariances.multioutput.kuus)</a>
</li>
<li><a href="api/gpflow/covariances/index.html#gpflow.covariances.multioutput.kuus.Kuu_generic">Kuu_generic() (in module gpflow.covariances.multioutput.kuus)</a>
</li>
<li><a href="api/gpflow/covariances/index.html#gpflow.covariances.kuus.Kuu_kernel_inducingpoints">Kuu_kernel_inducingpoints() (in module gpflow.covariances.kuus)</a>
</li>
<li><a href="api/gpflow/covariances/index.html#gpflow.covariances.multioutput.kuus.Kuu_shared_shared">Kuu_shared_shared() (in module gpflow.covariances.multioutput.kuus)</a>
</li>
<li><a href="api/gpflow/covariances/index.html#gpflow.covariances.kuus.Kuu_sqexp_multiscale">Kuu_sqexp_multiscale() (in module gpflow.covariances.kuus)</a>
</li>
</ul></td>
</tr></table>
<h2 id="L">L</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gpflow/models/sgpr/index.html#gpflow.models.sgpr.SGPR_deprecated.CommonTensors.L">L (gpflow.models.sgpr.SGPR_deprecated.CommonTensors attribute)</a>
</li>
<li><a href="api/gpflow/logdensities/index.html#gpflow.logdensities.laplace">laplace() (in module gpflow.logdensities)</a>
</li>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.LinearCoregionalization.latent_kernels">latent_kernels (gpflow.kernels.LinearCoregionalization property)</a>
<ul>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.MultioutputKernel.latent_kernels">(gpflow.kernels.MultioutputKernel property)</a>
</li>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.SeparateIndependent.latent_kernels">(gpflow.kernels.SeparateIndependent property)</a>
</li>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.SharedIndependent.latent_kernels">(gpflow.kernels.SharedIndependent property)</a>
</li>
</ul></li>
<li><a href="api/gpflow/models/sgpr/index.html#gpflow.models.sgpr.SGPR_deprecated.CommonTensors.LB">LB (gpflow.models.sgpr.SGPR_deprecated.CommonTensors attribute)</a>
</li>
<li><a href="api/gpflow/utilities/ops/index.html#gpflow.utilities.ops.leading_transpose">leading_transpose() (in module gpflow.utilities.ops)</a>
</li>
<li><a href="api/gpflow/utilities/index.html#gpflow.utilities.leaf_components">leaf_components() (in module gpflow.utilities)</a>
</li>
<li><a href="api/gpflow/likelihoods/index.html#gpflow.likelihoods.Likelihood">Likelihood (class in gpflow.likelihoods)</a>
</li>
<li><a href="api/gpflow/functions/index.html#gpflow.functions.Linear">Linear (class in gpflow.functions)</a>
<ul>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.Linear">(class in gpflow.kernels)</a>
</li>
</ul></li>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.LinearCoregionalization">LinearCoregionalization (class in gpflow.kernels)</a>
</li>
<li><a href="api/gpflow/posteriors/index.html#gpflow.posteriors.LinearCoregionalizationPosterior">LinearCoregionalizationPosterior (class in gpflow.posteriors)</a>
</li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gpflow/quadrature/gauss_hermite/index.html#gpflow.quadrature.gauss_hermite.list_to_flat_grid">list_to_flat_grid() (in module gpflow.quadrature.gauss_hermite)</a>
</li>
<li><a href="api/gpflow/models/index.html#gpflow.models.GPMC.log_likelihood">log_likelihood() (gpflow.models.GPMC method)</a>
</li>
<li><a href="api/gpflow/models/index.html#gpflow.models.SGPMC.log_likelihood_lower_bound">log_likelihood_lower_bound() (gpflow.models.SGPMC method)</a>
</li>
<li><a href="api/gpflow/models/gpr/index.html#gpflow.models.gpr.GPR_deprecated.log_marginal_likelihood">log_marginal_likelihood() (gpflow.models.gpr.GPR_deprecated method)</a>
</li>
<li><a href="api/gpflow/models/index.html#gpflow.models.BayesianModel.log_posterior_density">log_posterior_density() (gpflow.models.BayesianModel method)</a>
<ul>
<li><a href="api/gpflow/models/index.html#gpflow.models.GPMC.log_posterior_density">(gpflow.models.GPMC method)</a>
</li>
<li><a href="api/gpflow/models/index.html#gpflow.models.SGPMC.log_posterior_density">(gpflow.models.SGPMC method)</a>
</li>
</ul></li>
<li><a href="api/gpflow/models/index.html#gpflow.models.BayesianModel.log_prior_density">log_prior_density() (gpflow.models.BayesianModel method)</a>
<ul>
<li><a href="api/gpflow/index.html#gpflow.Parameter.log_prior_density">(gpflow.Parameter method)</a>
</li>
</ul></li>
<li><a href="api/gpflow/likelihoods/index.html#gpflow.likelihoods.Likelihood.log_prob">log_prob() (gpflow.likelihoods.Likelihood method)</a>
</li>
<li><a href="api/gpflow/models/index.html#gpflow.models.CGLB.logdet_term">logdet_term() (gpflow.models.CGLB method)</a>
<ul>
<li><a href="api/gpflow/models/sgpr/index.html#gpflow.models.sgpr.SGPR_deprecated.logdet_term">(gpflow.models.sgpr.SGPR_deprecated method)</a>
</li>
</ul></li>
<li><a href="api/gpflow/logdensities/index.html#gpflow.logdensities.lognormal">lognormal() (in module gpflow.logdensities)</a>
</li>
<li><a href="api/gpflow/quadrature/index.html#gpflow.quadrature.GaussianQuadrature.logspace">logspace() (gpflow.quadrature.GaussianQuadrature method)</a>
</li>
</ul></td>
</tr></table>
<h2 id="M">M</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gpflow/probability_distributions/index.html#gpflow.probability_distributions.MarkovGaussian">MarkovGaussian (class in gpflow.probability_distributions)</a>
</li>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.Matern12">Matern12 (class in gpflow.kernels)</a>
</li>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.Matern32">Matern32 (class in gpflow.kernels)</a>
</li>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.Matern52">Matern52 (class in gpflow.kernels)</a>
</li>
<li><a href="api/gpflow/models/index.html#gpflow.models.BayesianGPLVM.maximum_log_likelihood_objective">maximum_log_likelihood_objective() (gpflow.models.BayesianGPLVM method)</a>
<ul>
<li><a href="api/gpflow/models/index.html#gpflow.models.BayesianModel.maximum_log_likelihood_objective">(gpflow.models.BayesianModel method)</a>
</li>
<li><a href="api/gpflow/models/index.html#gpflow.models.GPMC.maximum_log_likelihood_objective">(gpflow.models.GPMC method)</a>
</li>
<li><a href="api/gpflow/models/gpr/index.html#gpflow.models.gpr.GPR_deprecated.maximum_log_likelihood_objective">(gpflow.models.gpr.GPR_deprecated method)</a>
</li>
<li><a href="api/gpflow/models/index.html#gpflow.models.GPRFITC.maximum_log_likelihood_objective">(gpflow.models.GPRFITC method)</a>
</li>
<li><a href="api/gpflow/models/index.html#gpflow.models.SGPMC.maximum_log_likelihood_objective">(gpflow.models.SGPMC method)</a>
</li>
<li><a href="api/gpflow/models/sgpr/index.html#gpflow.models.sgpr.SGPR_deprecated.maximum_log_likelihood_objective">(gpflow.models.sgpr.SGPR_deprecated method)</a>
</li>
<li><a href="api/gpflow/models/svgp/index.html#gpflow.models.svgp.SVGP_deprecated.maximum_log_likelihood_objective">(gpflow.models.svgp.SVGP_deprecated method)</a>
</li>
<li><a href="api/gpflow/models/vgp/index.html#gpflow.models.vgp.VGP_deprecated.maximum_log_likelihood_objective">(gpflow.models.vgp.VGP_deprecated method)</a>
</li>
<li><a href="api/gpflow/models/index.html#gpflow.models.VGPOpperArchambeau.maximum_log_likelihood_objective">(gpflow.models.VGPOpperArchambeau method)</a>
</li>
<li><a href="api/gpflow/models/index.html#gpflow.models.maximum_log_likelihood_objective">(in module gpflow.models)</a>
</li>
</ul></li>
<li><a href="api/gpflow/functions/index.html#gpflow.functions.MeanFunction">MeanFunction (class in gpflow.functions)</a>
</li>
<li><a href="api/gpflow/optimizers/natgrad/index.html#gpflow.optimizers.natgrad.meanvarsqrt_to_expectation">meanvarsqrt_to_expectation() (in module gpflow.optimizers.natgrad)</a>
</li>
<li><a href="api/gpflow/optimizers/natgrad/index.html#gpflow.optimizers.natgrad.meanvarsqrt_to_natural">meanvarsqrt_to_natural() (in module gpflow.optimizers.natgrad)</a>
</li>
<li><a href="api/gpflow/optimizers/index.html#gpflow.optimizers.XiNat.meanvarsqrt_to_xi">meanvarsqrt_to_xi() (gpflow.optimizers.XiNat static method)</a>
<ul>
<li><a href="api/gpflow/optimizers/index.html#gpflow.optimizers.XiSqrtMeanVar.meanvarsqrt_to_xi">(gpflow.optimizers.XiSqrtMeanVar static method)</a>
</li>
<li><a href="api/gpflow/optimizers/index.html#gpflow.optimizers.XiTransform.meanvarsqrt_to_xi">(gpflow.optimizers.XiTransform static method)</a>
</li>
</ul></li>
<li><a href="api/gpflow/optimizers/index.html#gpflow.optimizers.NaturalGradient.minimize">minimize() (gpflow.optimizers.NaturalGradient method)</a>
<ul>
<li><a href="api/gpflow/optimizers/index.html#gpflow.optimizers.Scipy.minimize">(gpflow.optimizers.Scipy method)</a>
</li>
</ul></li>
<li><a href="api/gpflow/conditionals/util/index.html#gpflow.conditionals.util.mix_latent_gp">mix_latent_gp() (in module gpflow.conditionals.util)</a>
</li>
<li><a href="api/gpflow/monitor/index.html#gpflow.monitor.ModelToTensorBoard">ModelToTensorBoard (class in gpflow.monitor)</a>
</li>
<li>
module
<ul>
<li><a href="api/gpflow/index.html#module-gpflow">gpflow</a>
</li>
<li><a href="api/gpflow/base/index.html#module-gpflow.base">gpflow.base</a>
</li>
<li><a href="api/gpflow/conditionals/index.html#module-gpflow.conditionals">gpflow.conditionals</a>
</li>
<li><a href="api/gpflow/conditionals/util/index.html#module-gpflow.conditionals.util">gpflow.conditionals.util</a>
</li>
<li><a href="api/gpflow/config/index.html#module-gpflow.config">gpflow.config</a>
</li>
<li><a href="api/gpflow/covariances/index.html#module-gpflow.covariances">gpflow.covariances</a>
</li>
<li><a href="api/gpflow/expectations/index.html#module-gpflow.expectations">gpflow.expectations</a>
</li>
<li><a href="api/gpflow/expectations/quadratures/index.html#module-gpflow.expectations.quadratures">gpflow.expectations.quadratures</a>
</li>
<li><a href="api/gpflow/experimental/index.html#module-gpflow.experimental">gpflow.experimental</a>
</li>
<li><a href="api/gpflow/experimental/utils/index.html#module-gpflow.experimental.utils">gpflow.experimental.utils</a>
</li>
<li><a href="api/gpflow/functions/index.html#module-gpflow.functions">gpflow.functions</a>
</li>
<li><a href="api/gpflow/inducing_variables/index.html#module-gpflow.inducing_variables">gpflow.inducing_variables</a>
</li>
<li><a href="api/gpflow/inducing_variables/inducing_variables/index.html#module-gpflow.inducing_variables.inducing_variables">gpflow.inducing_variables.inducing_variables</a>
</li>
<li><a href="api/gpflow/kernels/index.html#module-gpflow.kernels">gpflow.kernels</a>
</li>
<li><a href="api/gpflow/kernels/base/index.html#module-gpflow.kernels.base">gpflow.kernels.base</a>
</li>
<li><a href="api/gpflow/kullback_leiblers/index.html#module-gpflow.kullback_leiblers">gpflow.kullback_leiblers</a>
</li>
<li><a href="api/gpflow/likelihoods/index.html#module-gpflow.likelihoods">gpflow.likelihoods</a>
</li>
<li><a href="api/gpflow/likelihoods/utils/index.html#module-gpflow.likelihoods.utils">gpflow.likelihoods.utils</a>
</li>
<li><a href="api/gpflow/logdensities/index.html#module-gpflow.logdensities">gpflow.logdensities</a>
</li>
<li><a href="api/gpflow/models/index.html#module-gpflow.models">gpflow.models</a>
</li>
<li><a href="api/gpflow/models/cglb/index.html#module-gpflow.models.cglb">gpflow.models.cglb</a>
</li>
<li><a href="api/gpflow/models/gpr/index.html#module-gpflow.models.gpr">gpflow.models.gpr</a>
</li>
<li><a href="api/gpflow/models/sgpr/index.html#module-gpflow.models.sgpr">gpflow.models.sgpr</a>
</li>
<li><a href="api/gpflow/models/svgp/index.html#module-gpflow.models.svgp">gpflow.models.svgp</a>
</li>
<li><a href="api/gpflow/models/util/index.html#module-gpflow.models.util">gpflow.models.util</a>
</li>
<li><a href="api/gpflow/models/vgp/index.html#module-gpflow.models.vgp">gpflow.models.vgp</a>
</li>
<li><a href="api/gpflow/monitor/index.html#module-gpflow.monitor">gpflow.monitor</a>
</li>
<li><a href="api/gpflow/optimizers/index.html#module-gpflow.optimizers">gpflow.optimizers</a>
</li>
<li><a href="api/gpflow/optimizers/natgrad/index.html#module-gpflow.optimizers.natgrad">gpflow.optimizers.natgrad</a>
</li>
<li><a href="api/gpflow/posteriors/index.html#module-gpflow.posteriors">gpflow.posteriors</a>
</li>
<li><a href="api/gpflow/probability_distributions/index.html#module-gpflow.probability_distributions">gpflow.probability_distributions</a>
</li>
<li><a href="api/gpflow/quadrature/index.html#module-gpflow.quadrature">gpflow.quadrature</a>
</li>
<li><a href="api/gpflow/quadrature/gauss_hermite/index.html#module-gpflow.quadrature.gauss_hermite">gpflow.quadrature.gauss_hermite</a>
</li>
<li><a href="api/gpflow/type_flags/index.html#module-gpflow.type_flags">gpflow.type_flags</a>
</li>
<li><a href="api/gpflow/utilities/index.html#module-gpflow.utilities">gpflow.utilities</a>
</li>
<li><a href="api/gpflow/utilities/ops/index.html#module-gpflow.utilities.ops">gpflow.utilities.ops</a>
</li>
<li><a href="api/gpflow/utilities/parameter_or_function/index.html#module-gpflow.utilities.parameter_or_function">gpflow.utilities.parameter_or_function</a>
</li>
</ul></li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gpflow/index.html#gpflow.Module">Module (class in gpflow)</a>
</li>
<li><a href="api/gpflow/monitor/index.html#gpflow.monitor.Monitor">Monitor (class in gpflow.monitor)</a>
</li>
<li><a href="api/gpflow/monitor/index.html#gpflow.monitor.MonitorTask">MonitorTask (class in gpflow.monitor)</a>
</li>
<li><a href="api/gpflow/monitor/index.html#gpflow.monitor.MonitorTaskGroup">MonitorTaskGroup (class in gpflow.monitor)</a>
</li>
<li><a href="api/gpflow/likelihoods/index.html#gpflow.likelihoods.MonteCarloLikelihood">MonteCarloLikelihood (class in gpflow.likelihoods)</a>
</li>
<li><a href="api/gpflow/likelihoods/index.html#gpflow.likelihoods.MultiClass">MultiClass (class in gpflow.likelihoods)</a>
</li>
<li><a href="api/gpflow/likelihoods/index.html#gpflow.likelihoods.MultiLatentLikelihood">MultiLatentLikelihood (class in gpflow.likelihoods)</a>
</li>
<li><a href="api/gpflow/likelihoods/index.html#gpflow.likelihoods.MultiLatentTFPConditional">MultiLatentTFPConditional (class in gpflow.likelihoods)</a>
</li>
<li><a href="api/gpflow/inducing_variables/index.html#gpflow.inducing_variables.MultioutputInducingVariables">MultioutputInducingVariables (class in gpflow.inducing_variables)</a>
</li>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.MultioutputKernel">MultioutputKernel (class in gpflow.kernels)</a>
</li>
<li><a href="api/gpflow/utilities/index.html#gpflow.utilities.multiple_assign">multiple_assign() (in module gpflow.utilities)</a>
</li>
<li><a href="api/gpflow/inducing_variables/index.html#gpflow.inducing_variables.Multiscale">Multiscale (class in gpflow.inducing_variables)</a>
</li>
<li><a href="api/gpflow/logdensities/index.html#gpflow.logdensities.multivariate_normal">multivariate_normal() (in module gpflow.logdensities)</a>
</li>
<li><a href="api/gpflow/quadrature/index.html#gpflow.quadrature.mvhermgauss">mvhermgauss() (in module gpflow.quadrature)</a>
</li>
<li><a href="api/gpflow/quadrature/index.html#gpflow.quadrature.mvnquad">mvnquad() (in module gpflow.quadrature)</a>
</li>
</ul></td>
</tr></table>
<h2 id="N">N</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gpflow/optimizers/natgrad/index.html#gpflow.optimizers.natgrad.natural_to_expectation">natural_to_expectation() (in module gpflow.optimizers.natgrad)</a>
</li>
<li><a href="api/gpflow/optimizers/natgrad/index.html#gpflow.optimizers.natgrad.natural_to_meanvarsqrt">natural_to_meanvarsqrt() (in module gpflow.optimizers.natgrad)</a>
</li>
<li><a href="api/gpflow/optimizers/index.html#gpflow.optimizers.NaturalGradient">NaturalGradient (class in gpflow.optimizers)</a>
</li>
<li><a href="api/gpflow/optimizers/index.html#gpflow.optimizers.XiNat.naturals_to_xi">naturals_to_xi() (gpflow.optimizers.XiNat static method)</a>
<ul>
<li><a href="api/gpflow/optimizers/index.html#gpflow.optimizers.XiSqrtMeanVar.naturals_to_xi">(gpflow.optimizers.XiSqrtMeanVar static method)</a>
</li>
<li><a href="api/gpflow/optimizers/index.html#gpflow.optimizers.XiTransform.naturals_to_xi">(gpflow.optimizers.XiTransform static method)</a>
</li>
</ul></li>
<li><a href="api/gpflow/quadrature/gauss_hermite/index.html#gpflow.quadrature.gauss_hermite.ndgh_points_and_weights">ndgh_points_and_weights() (in module gpflow.quadrature.gauss_hermite)</a>
</li>
<li><a href="api/gpflow/quadrature/index.html#gpflow.quadrature.ndiag_mc">ndiag_mc() (in module gpflow.quadrature)</a>
</li>
<li><a href="api/gpflow/quadrature/index.html#gpflow.quadrature.NDiagGHQuadrature">NDiagGHQuadrature (class in gpflow.quadrature)</a>
</li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gpflow/quadrature/index.html#gpflow.quadrature.ndiagquad">ndiagquad() (in module gpflow.quadrature)</a>
</li>
<li><a href="api/gpflow/inducing_variables/index.html#gpflow.inducing_variables.FallbackSeparateIndependentInducingVariables.num_inducing">num_inducing (gpflow.inducing_variables.FallbackSeparateIndependentInducingVariables property)</a>
<ul>
<li><a href="api/gpflow/inducing_variables/index.html#gpflow.inducing_variables.FallbackSharedIndependentInducingVariables.num_inducing">(gpflow.inducing_variables.FallbackSharedIndependentInducingVariables property)</a>
</li>
<li><a href="api/gpflow/inducing_variables/inducing_variables/index.html#gpflow.inducing_variables.inducing_variables.InducingPointsBase.num_inducing">(gpflow.inducing_variables.inducing_variables.InducingPointsBase property)</a>
</li>
<li><a href="api/gpflow/inducing_variables/index.html#gpflow.inducing_variables.InducingVariables.num_inducing">(gpflow.inducing_variables.InducingVariables property)</a>
</li>
</ul></li>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.LinearCoregionalization.num_latent_gps">num_latent_gps (gpflow.kernels.LinearCoregionalization property)</a>
<ul>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.MultioutputKernel.num_latent_gps">(gpflow.kernels.MultioutputKernel property)</a>
</li>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.SeparateIndependent.num_latent_gps">(gpflow.kernels.SeparateIndependent property)</a>
</li>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.SharedIndependent.num_latent_gps">(gpflow.kernels.SharedIndependent property)</a>
</li>
</ul></li>
<li><a href="api/gpflow/models/cglb/index.html#gpflow.models.cglb.NystromPreconditioner">NystromPreconditioner (class in gpflow.models.cglb)</a>
</li>
</ul></td>
</tr></table>
<h2 id="O">O</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.Combination.on_separate_dimensions">on_separate_dimensions (gpflow.kernels.Combination property)</a>
</li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.Kernel.on_separate_dims">on_separate_dims() (gpflow.kernels.Kernel method)</a>
</li>
<li><a href="api/gpflow/likelihoods/index.html#gpflow.likelihoods.Ordinal">Ordinal (class in gpflow.likelihoods)</a>
</li>
</ul></td>
</tr></table>
<h2 id="P">P</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gpflow/index.html#gpflow.Parameter">Parameter (class in gpflow)</a>
</li>
<li><a href="api/gpflow/utilities/index.html#gpflow.utilities.parameter_dict">parameter_dict() (in module gpflow.utilities)</a>
</li>
<li><a href="api/gpflow/utilities/ops/index.html#gpflow.utilities.ops.pca_reduce">pca_reduce() (in module gpflow.utilities.ops)</a>
</li>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.Periodic">Periodic (class in gpflow.kernels)</a>
</li>
<li><a href="api/gpflow/likelihoods/index.html#gpflow.likelihoods.Poisson">Poisson (class in gpflow.likelihoods)</a>
</li>
<li><a href="api/gpflow/logdensities/index.html#gpflow.logdensities.poisson">poisson() (in module gpflow.logdensities)</a>
</li>
<li><a href="api/gpflow/functions/index.html#gpflow.functions.Polynomial">Polynomial (class in gpflow.functions)</a>
<ul>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.Polynomial">(class in gpflow.kernels)</a>
</li>
</ul></li>
<li><a href="api/gpflow/utilities/index.html#gpflow.utilities.positive">positive() (in module gpflow.utilities)</a>
</li>
<li><a href="api/gpflow/config/index.html#gpflow.config.Config.positive_bijector">positive_bijector (gpflow.config.Config attribute)</a>
</li>
<li><a href="api/gpflow/config/index.html#gpflow.config.positive_bijector_type_map">positive_bijector_type_map() (in module gpflow.config)</a>
</li>
<li><a href="api/gpflow/config/index.html#gpflow.config.Config.positive_minimum">positive_minimum (gpflow.config.Config attribute)</a>
</li>
<li><a href="api/gpflow/models/gpr/index.html#gpflow.models.gpr.GPR_with_posterior.posterior">posterior() (gpflow.models.gpr.GPR_with_posterior method)</a>
<ul>
<li><a href="api/gpflow/models/sgpr/index.html#gpflow.models.sgpr.SGPR_with_posterior.posterior">(gpflow.models.sgpr.SGPR_with_posterior method)</a>
</li>
<li><a href="api/gpflow/models/svgp/index.html#gpflow.models.svgp.SVGP_with_posterior.posterior">(gpflow.models.svgp.SVGP_with_posterior method)</a>
</li>
<li><a href="api/gpflow/models/vgp/index.html#gpflow.models.vgp.VGP_with_posterior.posterior">(gpflow.models.vgp.VGP_with_posterior method)</a>
</li>
</ul></li>
<li><a href="api/gpflow/posteriors/index.html#gpflow.posteriors.PrecomputeCacheType">PrecomputeCacheType (class in gpflow.posteriors)</a>
</li>
<li><a href="api/gpflow/posteriors/index.html#gpflow.posteriors.PrecomputedValue">PrecomputedValue (class in gpflow.posteriors)</a>
</li>
<li><a href="api/gpflow/models/index.html#gpflow.models.BayesianGPLVM.predict_f">predict_f() (gpflow.models.BayesianGPLVM method)</a>
<ul>
<li><a href="api/gpflow/models/index.html#gpflow.models.CGLB.predict_f">(gpflow.models.CGLB method)</a>
</li>
<li><a href="api/gpflow/models/index.html#gpflow.models.GPMC.predict_f">(gpflow.models.GPMC method)</a>
</li>
<li><a href="api/gpflow/models/index.html#gpflow.models.GPModel.predict_f">(gpflow.models.GPModel method)</a>
</li>
<li><a href="api/gpflow/models/gpr/index.html#gpflow.models.gpr.GPR_deprecated.predict_f">(gpflow.models.gpr.GPR_deprecated method)</a>
</li>
<li><a href="api/gpflow/models/gpr/index.html#gpflow.models.gpr.GPR_with_posterior.predict_f">(gpflow.models.gpr.GPR_with_posterior method)</a>
</li>
<li><a href="api/gpflow/models/index.html#gpflow.models.GPRFITC.predict_f">(gpflow.models.GPRFITC method)</a>
</li>
<li><a href="api/gpflow/models/index.html#gpflow.models.SGPMC.predict_f">(gpflow.models.SGPMC method)</a>
</li>
<li><a href="api/gpflow/models/sgpr/index.html#gpflow.models.sgpr.SGPR_deprecated.predict_f">(gpflow.models.sgpr.SGPR_deprecated method)</a>
</li>
<li><a href="api/gpflow/models/sgpr/index.html#gpflow.models.sgpr.SGPR_with_posterior.predict_f">(gpflow.models.sgpr.SGPR_with_posterior method)</a>
</li>
<li><a href="api/gpflow/models/svgp/index.html#gpflow.models.svgp.SVGP_deprecated.predict_f">(gpflow.models.svgp.SVGP_deprecated method)</a>
</li>
<li><a href="api/gpflow/models/svgp/index.html#gpflow.models.svgp.SVGP_with_posterior.predict_f">(gpflow.models.svgp.SVGP_with_posterior method)</a>
</li>
<li><a href="api/gpflow/models/vgp/index.html#gpflow.models.vgp.VGP_deprecated.predict_f">(gpflow.models.vgp.VGP_deprecated method)</a>
</li>
<li><a href="api/gpflow/models/vgp/index.html#gpflow.models.vgp.VGP_with_posterior.predict_f">(gpflow.models.vgp.VGP_with_posterior method)</a>
</li>
<li><a href="api/gpflow/models/index.html#gpflow.models.VGPOpperArchambeau.predict_f">(gpflow.models.VGPOpperArchambeau method)</a>
</li>
<li><a href="api/gpflow/posteriors/index.html#gpflow.posteriors.AbstractPosterior.predict_f">(gpflow.posteriors.AbstractPosterior method)</a>
</li>
</ul></li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gpflow/models/index.html#gpflow.models.GPModel.predict_f_samples">predict_f_samples() (gpflow.models.GPModel method)</a>
</li>
<li><a href="api/gpflow/likelihoods/index.html#gpflow.likelihoods.Likelihood.predict_log_density">predict_log_density() (gpflow.likelihoods.Likelihood method)</a>
<ul>
<li><a href="api/gpflow/models/index.html#gpflow.models.BayesianGPLVM.predict_log_density">(gpflow.models.BayesianGPLVM method)</a>
</li>
<li><a href="api/gpflow/models/index.html#gpflow.models.CGLB.predict_log_density">(gpflow.models.CGLB method)</a>
</li>
<li><a href="api/gpflow/models/index.html#gpflow.models.GPModel.predict_log_density">(gpflow.models.GPModel method)</a>
</li>
</ul></li>
<li><a href="api/gpflow/likelihoods/index.html#gpflow.likelihoods.Likelihood.predict_mean_and_var">predict_mean_and_var() (gpflow.likelihoods.Likelihood method)</a>
</li>
<li><a href="api/gpflow/models/index.html#gpflow.models.CGLB.predict_y">predict_y() (gpflow.models.CGLB method)</a>
<ul>
<li><a href="api/gpflow/models/index.html#gpflow.models.GPModel.predict_y">(gpflow.models.GPModel method)</a>
</li>
</ul></li>
<li><a href="api/gpflow/utilities/parameter_or_function/index.html#gpflow.utilities.parameter_or_function.prepare_parameter_or_function">prepare_parameter_or_function() (in module gpflow.utilities.parameter_or_function)</a>
</li>
<li><a href="api/gpflow/utilities/index.html#gpflow.utilities.print_summary">print_summary() (in module gpflow.utilities)</a>
</li>
<li><a href="api/gpflow/base/index.html#gpflow.base.PriorOn">PriorOn (class in gpflow.base)</a>
</li>
<li><a href="api/gpflow/probability_distributions/index.html#gpflow.probability_distributions.ProbabilityDistribution">ProbabilityDistribution (class in gpflow.probability_distributions)</a>
</li>
<li><a href="api/gpflow/functions/index.html#gpflow.functions.Product">Product (class in gpflow.functions)</a>
<ul>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.Product">(class in gpflow.kernels)</a>
</li>
</ul></li>
</ul></td>
</tr></table>
<h2 id="Q">Q</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gpflow/models/index.html#gpflow.models.CGLB.quad_term">quad_term() (gpflow.models.CGLB method)</a>
<ul>
<li><a href="api/gpflow/models/sgpr/index.html#gpflow.models.sgpr.SGPR_deprecated.quad_term">(gpflow.models.sgpr.SGPR_deprecated method)</a>
</li>
</ul></li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gpflow/expectations/index.html#gpflow.expectations.quadrature_expectation">quadrature_expectation() (in module gpflow.expectations)</a>
</li>
<li><a href="api/gpflow/likelihoods/index.html#gpflow.likelihoods.QuadratureLikelihood">QuadratureLikelihood (class in gpflow.likelihoods)</a>
</li>
</ul></td>
</tr></table>
<h2 id="R">R</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.RationalQuadratic">RationalQuadratic (class in gpflow.kernels)</a>
</li>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.RBF">RBF (in module gpflow.kernels)</a>
</li>
<li><a href="api/gpflow/utilities/index.html#gpflow.utilities.read_values">read_values() (in module gpflow.utilities)</a>
</li>
<li><a href="api/gpflow/kernels/base/index.html#gpflow.kernels.base.ReducingCombination">ReducingCombination (class in gpflow.kernels.base)</a>
</li>
<li><a href="api/gpflow/utilities/index.html#gpflow.utilities.Dispatcher.register">register() (gpflow.utilities.Dispatcher method)</a>
</li>
<li><a href="api/gpflow/quadrature/gauss_hermite/index.html#gpflow.quadrature.gauss_hermite.repeat_as_list">repeat_as_list() (in module gpflow.quadrature.gauss_hermite)</a>
</li>
<li><a href="api/gpflow/utilities/index.html#gpflow.utilities.reset_cache_bijectors">reset_cache_bijectors() (in module gpflow.utilities)</a>
</li>
<li><a href="api/gpflow/quadrature/gauss_hermite/index.html#gpflow.quadrature.gauss_hermite.reshape_Z_dZ">reshape_Z_dZ() (in module gpflow.quadrature.gauss_hermite)</a>
</li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gpflow/likelihoods/index.html#gpflow.likelihoods.RobustMax">RobustMax (class in gpflow.likelihoods)</a>
</li>
<li><a href="api/gpflow/conditionals/util/index.html#gpflow.conditionals.util.rollaxis_left">rollaxis_left() (in module gpflow.conditionals.util)</a>
</li>
<li><a href="api/gpflow/conditionals/util/index.html#gpflow.conditionals.util.rollaxis_right">rollaxis_right() (in module gpflow.conditionals.util)</a>
</li>
<li><a href="api/gpflow/monitor/index.html#gpflow.monitor.ExecuteCallback.run">run() (gpflow.monitor.ExecuteCallback method)</a>
<ul>
<li><a href="api/gpflow/monitor/index.html#gpflow.monitor.ImageToTensorBoard.run">(gpflow.monitor.ImageToTensorBoard method)</a>
</li>
<li><a href="api/gpflow/monitor/index.html#gpflow.monitor.ModelToTensorBoard.run">(gpflow.monitor.ModelToTensorBoard method)</a>
</li>
<li><a href="api/gpflow/monitor/index.html#gpflow.monitor.MonitorTask.run">(gpflow.monitor.MonitorTask method)</a>
</li>
<li><a href="api/gpflow/monitor/index.html#gpflow.monitor.ScalarToTensorBoard.run">(gpflow.monitor.ScalarToTensorBoard method)</a>
</li>
</ul></li>
</ul></td>
</tr></table>
<h2 id="S">S</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gpflow/conditionals/util/index.html#gpflow.conditionals.util.sample_mvn">sample_mvn() (in module gpflow.conditionals.util)</a>
</li>
<li><a href="api/gpflow/optimizers/index.html#gpflow.optimizers.SamplingHelper">SamplingHelper (class in gpflow.optimizers)</a>
</li>
<li><a href="api/gpflow/likelihoods/index.html#gpflow.likelihoods.ScalarLikelihood">ScalarLikelihood (class in gpflow.likelihoods)</a>
</li>
<li><a href="api/gpflow/monitor/index.html#gpflow.monitor.ScalarToTensorBoard">ScalarToTensorBoard (class in gpflow.monitor)</a>
</li>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.AnisotropicStationary.scaled_difference_matrix">scaled_difference_matrix() (gpflow.kernels.AnisotropicStationary method)</a>
</li>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.IsotropicStationary.scaled_squared_euclid_dist">scaled_squared_euclid_dist() (gpflow.kernels.IsotropicStationary method)</a>
</li>
<li><a href="api/gpflow/optimizers/index.html#gpflow.optimizers.Scipy">Scipy (class in gpflow.optimizers)</a>
</li>
<li><a href="api/gpflow/utilities/index.html#gpflow.utilities.select_dict_parameters_with_prior">select_dict_parameters_with_prior() (in module gpflow.utilities)</a>
</li>
<li><a href="api/gpflow/conditionals/index.html#gpflow.conditionals.multioutput.conditionals.separate_independent_conditional">separate_independent_conditional() (in module gpflow.conditionals.multioutput.conditionals)</a>
</li>
<li><a href="api/gpflow/conditionals/util/index.html#gpflow.conditionals.util.separate_independent_conditional_implementation">separate_independent_conditional_implementation() (in module gpflow.conditionals.util)</a>
</li>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.SeparateIndependent">SeparateIndependent (class in gpflow.kernels)</a>
</li>
<li><a href="api/gpflow/inducing_variables/index.html#gpflow.inducing_variables.SeparateIndependentInducingVariables">SeparateIndependentInducingVariables (class in gpflow.inducing_variables)</a>
</li>
<li><a href="api/gpflow/config/index.html#gpflow.config.set_config">set_config() (in module gpflow.config)</a>
</li>
<li><a href="api/gpflow/config/index.html#gpflow.config.set_default_float">set_default_float() (in module gpflow.config)</a>
</li>
<li><a href="api/gpflow/config/index.html#gpflow.config.set_default_int">set_default_int() (in module gpflow.config)</a>
</li>
<li><a href="api/gpflow/config/index.html#gpflow.config.set_default_jitter">set_default_jitter() (in module gpflow.config)</a>
</li>
<li><a href="api/gpflow/config/index.html#gpflow.config.set_default_positive_bijector">set_default_positive_bijector() (in module gpflow.config)</a>
</li>
<li><a href="api/gpflow/config/index.html#gpflow.config.set_default_positive_minimum">set_default_positive_minimum() (in module gpflow.config)</a>
</li>
<li><a href="api/gpflow/config/index.html#gpflow.config.set_default_summary_fmt">set_default_summary_fmt() (in module gpflow.config)</a>
</li>
<li><a href="api/gpflow/index.html#gpflow.set_trainable">set_trainable() (in module gpflow)</a>
</li>
<li><a href="api/gpflow/models/index.html#gpflow.models.SGPMC">SGPMC (class in gpflow.models)</a>
</li>
<li><a href="api/gpflow/models/index.html#gpflow.models.SGPR">SGPR (class in gpflow.models)</a>
</li>
<li><a href="api/gpflow/models/sgpr/index.html#gpflow.models.sgpr.SGPR_deprecated">SGPR_deprecated (class in gpflow.models.sgpr)</a>
</li>
<li><a href="api/gpflow/models/sgpr/index.html#gpflow.models.sgpr.SGPR_deprecated.CommonTensors">SGPR_deprecated.CommonTensors (class in gpflow.models.sgpr)</a>
</li>
<li><a href="api/gpflow/models/sgpr/index.html#gpflow.models.sgpr.SGPR_with_posterior">SGPR_with_posterior (class in gpflow.models.sgpr)</a>
</li>
<li><a href="api/gpflow/models/sgpr/index.html#gpflow.models.sgpr.SGPRBase_deprecated">SGPRBase_deprecated (class in gpflow.models.sgpr)</a>
</li>
<li><a href="api/gpflow/posteriors/index.html#gpflow.posteriors.SGPRPosterior">SGPRPosterior (class in gpflow.posteriors)</a>
</li>
<li><a href="api/gpflow/inducing_variables/index.html#gpflow.inducing_variables.FallbackSeparateIndependentInducingVariables.shape">shape (gpflow.inducing_variables.FallbackSeparateIndependentInducingVariables property)</a>
<ul>
<li><a href="api/gpflow/inducing_variables/index.html#gpflow.inducing_variables.FallbackSharedIndependentInducingVariables.shape">(gpflow.inducing_variables.FallbackSharedIndependentInducingVariables property)</a>
</li>
<li><a href="api/gpflow/inducing_variables/inducing_variables/index.html#gpflow.inducing_variables.inducing_variables.InducingPointsBase.shape">(gpflow.inducing_variables.inducing_variables.InducingPointsBase property)</a>
</li>
<li><a href="api/gpflow/inducing_variables/index.html#gpflow.inducing_variables.InducingVariables.shape">(gpflow.inducing_variables.InducingVariables property)</a>
</li>
<li><a href="api/gpflow/probability_distributions/index.html#gpflow.probability_distributions.DiagonalGaussian.shape">(gpflow.probability_distributions.DiagonalGaussian property)</a>
</li>
<li><a href="api/gpflow/probability_distributions/index.html#gpflow.probability_distributions.Gaussian.shape">(gpflow.probability_distributions.Gaussian property)</a>
</li>
<li><a href="api/gpflow/probability_distributions/index.html#gpflow.probability_distributions.MarkovGaussian.shape">(gpflow.probability_distributions.MarkovGaussian property)</a>
</li>
<li><a href="api/gpflow/probability_distributions/index.html#gpflow.probability_distributions.ProbabilityDistribution.shape">(gpflow.probability_distributions.ProbabilityDistribution property)</a>
</li>
</ul></li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gpflow/conditionals/index.html#gpflow.conditionals.multioutput.conditionals.shared_independent_conditional">shared_independent_conditional() (in module gpflow.conditionals.multioutput.conditionals)</a>
</li>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.SharedIndependent">SharedIndependent (class in gpflow.kernels)</a>
</li>
<li><a href="api/gpflow/inducing_variables/index.html#gpflow.inducing_variables.SharedIndependentInducingVariables">SharedIndependentInducingVariables (class in gpflow.inducing_variables)</a>
</li>
<li><a href="api/gpflow/models/sgpr/index.html#gpflow.models.sgpr.SGPR_deprecated.CommonTensors.sigma">sigma (gpflow.models.sgpr.SGPR_deprecated.CommonTensors attribute)</a>
</li>
<li><a href="api/gpflow/models/sgpr/index.html#gpflow.models.sgpr.SGPR_deprecated.CommonTensors.sigma_sq">sigma_sq (gpflow.models.sgpr.SGPR_deprecated.CommonTensors attribute)</a>
</li>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.Kernel.slice">slice() (gpflow.kernels.Kernel method)</a>
</li>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.Kernel.slice_cov">slice_cov() (gpflow.kernels.Kernel method)</a>
</li>
<li><a href="api/gpflow/likelihoods/index.html#gpflow.likelihoods.Softmax">Softmax (class in gpflow.likelihoods)</a>
</li>
<li><a href="api/gpflow/utilities/ops/index.html#gpflow.utilities.ops.square_distance">square_distance() (in module gpflow.utilities.ops)</a>
</li>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.Static">Static (class in gpflow.kernels)</a>
</li>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.Stationary">Stationary (class in gpflow.kernels)</a>
</li>
<li><a href="api/gpflow/logdensities/index.html#gpflow.logdensities.student_t">student_t() (in module gpflow.logdensities)</a>
</li>
<li><a href="api/gpflow/likelihoods/index.html#gpflow.likelihoods.StudentT">StudentT (class in gpflow.likelihoods)</a>
</li>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.Sum">Sum (class in gpflow.kernels)</a>
</li>
<li><a href="api/gpflow/config/index.html#gpflow.config.Config.summary_fmt">summary_fmt (gpflow.config.Config attribute)</a>
</li>
<li><a href="api/gpflow/models/index.html#gpflow.models.SVGP">SVGP (class in gpflow.models)</a>
</li>
<li><a href="api/gpflow/models/svgp/index.html#gpflow.models.svgp.SVGP_deprecated">SVGP_deprecated (class in gpflow.models.svgp)</a>
</li>
<li><a href="api/gpflow/models/svgp/index.html#gpflow.models.svgp.SVGP_with_posterior">SVGP_with_posterior (class in gpflow.models.svgp)</a>
</li>
<li><a href="api/gpflow/optimizers/natgrad/index.html#gpflow.optimizers.natgrad.swap_dimensions">swap_dimensions() (in module gpflow.optimizers.natgrad)</a>
</li>
<li><a href="api/gpflow/functions/index.html#gpflow.functions.SwitchedFunction">SwitchedFunction (class in gpflow.functions)</a>
</li>
<li><a href="api/gpflow/likelihoods/index.html#gpflow.likelihoods.SwitchedLikelihood">SwitchedLikelihood (class in gpflow.likelihoods)</a>
</li>
<li><a href="api/gpflow/functions/index.html#gpflow.functions.SwitchedMeanFunction">SwitchedMeanFunction (class in gpflow.functions)</a>
</li>
</ul></td>
</tr></table>
<h2 id="T">T</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gpflow/utilities/index.html#gpflow.utilities.tabulate_module_summary">tabulate_module_summary() (in module gpflow.utilities)</a>
</li>
<li><a href="api/gpflow/optimizers/index.html#gpflow.optimizers.SamplingHelper.target_log_prob_fn">target_log_prob_fn (gpflow.optimizers.SamplingHelper property)</a>
</li>
<li><a href="api/gpflow/utilities/index.html#gpflow.utilities.to_default_float">to_default_float() (in module gpflow.utilities)</a>
</li>
<li><a href="api/gpflow/utilities/index.html#gpflow.utilities.to_default_int">to_default_int() (in module gpflow.utilities)</a>
</li>
<li><a href="api/gpflow/monitor/index.html#gpflow.monitor.ToTensorBoard">ToTensorBoard (class in gpflow.monitor)</a>
</li>
<li><a href="api/gpflow/index.html#gpflow.Parameter.trainable">trainable (gpflow.Parameter property)</a>
</li>
<li><a href="api/gpflow/utilities/index.html#gpflow.utilities.training_loop">training_loop() (in module gpflow.utilities)</a>
</li>
<li><a href="api/gpflow/models/index.html#gpflow.models.ExternalDataTrainingLossMixin.training_loss">training_loss() (gpflow.models.ExternalDataTrainingLossMixin method)</a>
<ul>
<li><a href="api/gpflow/models/index.html#gpflow.models.InternalDataTrainingLossMixin.training_loss">(gpflow.models.InternalDataTrainingLossMixin method)</a>
</li>
<li><a href="api/gpflow/models/index.html#gpflow.models.training_loss">(in module gpflow.models)</a>
</li>
</ul></li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gpflow/models/index.html#gpflow.models.ExternalDataTrainingLossMixin.training_loss_closure">training_loss_closure() (gpflow.models.ExternalDataTrainingLossMixin method)</a>
<ul>
<li><a href="api/gpflow/models/index.html#gpflow.models.InternalDataTrainingLossMixin.training_loss_closure">(gpflow.models.InternalDataTrainingLossMixin method)</a>
</li>
<li><a href="api/gpflow/models/index.html#gpflow.models.training_loss_closure">(in module gpflow.models)</a>
</li>
</ul></li>
<li><a href="api/gpflow/utilities/index.html#gpflow.utilities.traverse_module">traverse_module() (in module gpflow.utilities)</a>
</li>
<li><a href="api/gpflow/utilities/index.html#gpflow.utilities.triangular">triangular() (in module gpflow.utilities)</a>
</li>
<li><a href="api/gpflow/utilities/index.html#gpflow.utilities.triangular_size">triangular_size() (in module gpflow.utilities)</a>
</li>
</ul></td>
</tr></table>
<h2 id="U">U</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gpflow/conditionals/index.html#gpflow.conditionals.uncertain_conditional">uncertain_conditional() (in module gpflow.conditionals)</a>
</li>
<li><a href="api/gpflow/posteriors/index.html#gpflow.posteriors.AbstractPosterior.update_cache">update_cache() (gpflow.posteriors.AbstractPosterior method)</a>
</li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gpflow/models/vgp/index.html#gpflow.models.vgp.update_vgp_data">update_vgp_data() (in module gpflow.models.vgp)</a>
</li>
<li><a href="api/gpflow/models/sgpr/index.html#gpflow.models.sgpr.SGPRBase_deprecated.upper_bound">upper_bound() (gpflow.models.sgpr.SGPRBase_deprecated method)</a>
</li>
</ul></td>
</tr></table>
<h2 id="V">V</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gpflow/posteriors/index.html#gpflow.posteriors.PrecomputedValue.value">value (gpflow.posteriors.PrecomputedValue attribute)</a>
</li>
<li><a href="api/gpflow/likelihoods/index.html#gpflow.likelihoods.Likelihood.variational_expectations">variational_expectations() (gpflow.likelihoods.Likelihood method)</a>
</li>
<li><a href="api/gpflow/models/index.html#gpflow.models.VGP">VGP (class in gpflow.models)</a>
</li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gpflow/models/vgp/index.html#gpflow.models.vgp.VGP_deprecated">VGP_deprecated (class in gpflow.models.vgp)</a>
</li>
<li><a href="api/gpflow/models/vgp/index.html#gpflow.models.vgp.VGP_with_posterior">VGP_with_posterior (class in gpflow.models.vgp)</a>
</li>
<li><a href="api/gpflow/models/index.html#gpflow.models.VGPOpperArchambeau">VGPOpperArchambeau (class in gpflow.models)</a>
</li>
<li><a href="api/gpflow/posteriors/index.html#gpflow.posteriors.VGPPosterior">VGPPosterior (class in gpflow.posteriors)</a>
</li>
</ul></td>
</tr></table>
<h2 id="W">W</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gpflow/kernels/index.html#gpflow.kernels.White">White (class in gpflow.kernels)</a>
</li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gpflow/posteriors/index.html#gpflow.posteriors.PrecomputedValue.wrap_alpha_Qinv">wrap_alpha_Qinv() (gpflow.posteriors.PrecomputedValue static method)</a>
</li>
</ul></td>
</tr></table>
<h2 id="X">X</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gpflow/optimizers/index.html#gpflow.optimizers.XiNat.xi_to_meanvarsqrt">xi_to_meanvarsqrt() (gpflow.optimizers.XiNat static method)</a>
<ul>
<li><a href="api/gpflow/optimizers/index.html#gpflow.optimizers.XiSqrtMeanVar.xi_to_meanvarsqrt">(gpflow.optimizers.XiSqrtMeanVar static method)</a>
</li>
<li><a href="api/gpflow/optimizers/index.html#gpflow.optimizers.XiTransform.xi_to_meanvarsqrt">(gpflow.optimizers.XiTransform static method)</a>
</li>
</ul></li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gpflow/optimizers/index.html#gpflow.optimizers.XiNat">XiNat (class in gpflow.optimizers)</a>
</li>
<li><a href="api/gpflow/optimizers/index.html#gpflow.optimizers.XiSqrtMeanVar">XiSqrtMeanVar (class in gpflow.optimizers)</a>
</li>
<li><a href="api/gpflow/optimizers/index.html#gpflow.optimizers.XiTransform">XiTransform (class in gpflow.optimizers)</a>
</li>
</ul></td>
</tr></table>
<h2 id="Z">Z</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gpflow/functions/index.html#gpflow.functions.Zero">Zero (class in gpflow.functions)</a>
</li>
</ul></td>
</tr></table>
</article>
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