sppcax package
Subpackages
- sppcax.bmr package
- sppcax.distributions package
- Submodules
- sppcax.distributions.base module
- sppcax.distributions.beta module
BetaBeta.alphaBeta.betaBeta.dnat1Beta.dnat2Beta.expected_sufficient_statisticsBeta.from_natural_parameters()Beta.kl_divergence_from_priorBeta.log_base_measure()Beta.log_normalizerBeta.meanBeta.nat1Beta.nat1_0Beta.nat2Beta.nat2_0Beta.natural_param_shapeBeta.natural_parametersBeta.sample()Beta.sufficient_statistics()Beta.variance
- sppcax.distributions.categorical module
- sppcax.distributions.delta module
- sppcax.distributions.exponential_family module
ExponentialFamilyExponentialFamily.natural_param_shapeExponentialFamily.entropyExponentialFamily.expected_log_base_measureExponentialFamily.expected_sufficient_statisticsExponentialFamily.from_natural_parameters()ExponentialFamily.kl_divergence()ExponentialFamily.log_base_measure()ExponentialFamily.log_normalizerExponentialFamily.log_prob()ExponentialFamily.natural_param_shapeExponentialFamily.natural_parametersExponentialFamily.sufficient_statistics()
- sppcax.distributions.gamma module
GammaGamma.alphaGamma.betaGamma.dnat1Gamma.dnat2Gamma.expected_sufficient_statisticsGamma.from_natural_parameters()Gamma.kl_divergence_from_priorGamma.log_base_measure()Gamma.log_normalizerGamma.meanGamma.nat1Gamma.nat1_0Gamma.nat2Gamma.nat2_0Gamma.natural_param_shapeGamma.natural_parametersGamma.sample()Gamma.sufficient_statistics()
InverseGammaInverseGamma.alphaInverseGamma.betaInverseGamma.dnat1InverseGamma.dnat2InverseGamma.expected_psiInverseGamma.expected_sufficient_statisticsInverseGamma.from_natural_parameters()InverseGamma.kl_divergence_from_priorInverseGamma.log_base_measure()InverseGamma.log_normalizerInverseGamma.meanInverseGamma.mf_expectations()InverseGamma.mf_update()InverseGamma.mode()InverseGamma.nat1InverseGamma.nat1_0InverseGamma.nat2InverseGamma.nat2_0InverseGamma.natural_param_shapeInverseGamma.natural_parametersInverseGamma.sample()InverseGamma.sufficient_statistics()
- sppcax.distributions.inverse_wishart module
InverseWishartInverseWishart.dfInverseWishart.dimInverseWishart.dnat1InverseWishart.dnat2InverseWishart.entropyInverseWishart.expected_psiInverseWishart.expected_sufficient_statisticsInverseWishart.inv_scaleInverseWishart.kl_divergence_from_priorInverseWishart.log_base_measure()InverseWishart.log_normalizerInverseWishart.log_prob()InverseWishart.meanInverseWishart.mf_expectations()InverseWishart.mf_update()InverseWishart.mode()InverseWishart.nat1InverseWishart.nat1_0InverseWishart.nat2InverseWishart.nat2_0InverseWishart.natural_param_shapeInverseWishart.natural_parametersInverseWishart.sample()InverseWishart.scaleInverseWishart.sufficient_statistics()
multidigamma()
- sppcax.distributions.mean_field module
MeanFieldMeanField.weightsMeanField.noiseMeanField.n_iterMeanField.alphaMeanField.betaMeanField.col_covarianceMeanField.covarianceMeanField.entropy()MeanField.expected_covarianceMeanField.expected_psiMeanField.expected_sufficient_statistics_psiMeanField.inv_gammaMeanField.log_prob()MeanField.maskMeanField.meanMeanField.mode()MeanField.mvnMeanField.noiseMeanField.precisionMeanField.sample()MeanField.weights
- sppcax.distributions.mvn module
MultivariateNormalMultivariateNormal.apply_mask_matrix()MultivariateNormal.apply_mask_vector()MultivariateNormal.covarianceMultivariateNormal.dnat1MultivariateNormal.dnat2MultivariateNormal.expected_second_momentMultivariateNormal.expected_sufficient_statisticsMultivariateNormal.from_natural_parameters()MultivariateNormal.log_base_measure()MultivariateNormal.log_normalizerMultivariateNormal.maskMultivariateNormal.meanMultivariateNormal.mf_expectations()MultivariateNormal.mf_update()MultivariateNormal.nat1MultivariateNormal.nat1_0MultivariateNormal.nat2MultivariateNormal.nat2_0MultivariateNormal.natural_param_shapeMultivariateNormal.natural_parametersMultivariateNormal.precisionMultivariateNormal.sample()MultivariateNormal.sufficient_statistics()
- sppcax.distributions.mvn_gamma module
MultivariateNormalInverseGammaMultivariateNormalInverseGamma.alphaMultivariateNormalInverseGamma.betaMultivariateNormalInverseGamma.col_covarianceMultivariateNormalInverseGamma.covarianceMultivariateNormalInverseGamma.expected_covarianceMultivariateNormalInverseGamma.expected_log_psiMultivariateNormalInverseGamma.expected_psiMultivariateNormalInverseGamma.expected_sufficient_statistics_psiMultivariateNormalInverseGamma.inv_gammaMultivariateNormalInverseGamma.log_prob()MultivariateNormalInverseGamma.meanMultivariateNormalInverseGamma.mode()MultivariateNormalInverseGamma.mvnMultivariateNormalInverseGamma.precisionMultivariateNormalInverseGamma.sample()
mvnig_posterior_update()
- sppcax.distributions.normal module
- sppcax.distributions.poisson module
- sppcax.distributions.updates module
- sppcax.distributions.utils module
- Module contents
BetaBeta.alphaBeta.batch_shapeBeta.betaBeta.dnat1Beta.dnat2Beta.event_shapeBeta.expected_sufficient_statisticsBeta.from_natural_parameters()Beta.kl_divergence_from_priorBeta.log_base_measure()Beta.log_normalizerBeta.meanBeta.nat1Beta.nat1_0Beta.nat2Beta.nat2_0Beta.natural_param_shapeBeta.natural_parametersBeta.sample()Beta.sufficient_statistics()Beta.variance
CategoricalCategorical.batch_shapeCategorical.event_shapeCategorical.expected_sufficient_statisticsCategorical.from_natural_parameters()Categorical.full_logitsCategorical.log_normalizerCategorical.nat1Categorical.natural_param_shapeCategorical.natural_parametersCategorical.probsCategorical.sample()Categorical.sufficient_statistics()
DeltaDistributionExponentialFamilyExponentialFamily.natural_param_shapeExponentialFamily.batch_shapeExponentialFamily.entropyExponentialFamily.event_shapeExponentialFamily.expected_log_base_measureExponentialFamily.expected_sufficient_statisticsExponentialFamily.from_natural_parameters()ExponentialFamily.kl_divergence()ExponentialFamily.log_base_measure()ExponentialFamily.log_normalizerExponentialFamily.log_prob()ExponentialFamily.natural_param_shapeExponentialFamily.natural_parametersExponentialFamily.sufficient_statistics()
GammaGamma.alphaGamma.batch_shapeGamma.betaGamma.dnat1Gamma.dnat2Gamma.event_shapeGamma.expected_sufficient_statisticsGamma.from_natural_parameters()Gamma.kl_divergence_from_priorGamma.log_base_measure()Gamma.log_normalizerGamma.meanGamma.nat1Gamma.nat1_0Gamma.nat2Gamma.nat2_0Gamma.natural_param_shapeGamma.natural_parametersGamma.sample()Gamma.sufficient_statistics()
InverseGammaInverseGamma.alphaInverseGamma.batch_shapeInverseGamma.betaInverseGamma.dnat1InverseGamma.dnat2InverseGamma.event_shapeInverseGamma.expected_psiInverseGamma.expected_sufficient_statisticsInverseGamma.from_natural_parameters()InverseGamma.kl_divergence_from_priorInverseGamma.log_base_measure()InverseGamma.log_normalizerInverseGamma.meanInverseGamma.mf_expectations()InverseGamma.mf_update()InverseGamma.mode()InverseGamma.nat1InverseGamma.nat1_0InverseGamma.nat2InverseGamma.nat2_0InverseGamma.natural_param_shapeInverseGamma.natural_parametersInverseGamma.sample()InverseGamma.sufficient_statistics()
InverseWishartInverseWishart.batch_shapeInverseWishart.dfInverseWishart.dimInverseWishart.dnat1InverseWishart.dnat2InverseWishart.entropyInverseWishart.event_shapeInverseWishart.expected_psiInverseWishart.expected_sufficient_statisticsInverseWishart.inv_scaleInverseWishart.kl_divergence_from_priorInverseWishart.log_base_measure()InverseWishart.log_normalizerInverseWishart.log_prob()InverseWishart.meanInverseWishart.mf_expectations()InverseWishart.mf_update()InverseWishart.mode()InverseWishart.nat1InverseWishart.nat1_0InverseWishart.nat2InverseWishart.nat2_0InverseWishart.natural_param_shapeInverseWishart.natural_parametersInverseWishart.sample()InverseWishart.scaleInverseWishart.sufficient_statistics()
MeanFieldMeanField.weightsMeanField.noiseMeanField.n_iterMeanField.alphaMeanField.batch_shapeMeanField.betaMeanField.col_covarianceMeanField.covarianceMeanField.entropy()MeanField.event_shapeMeanField.expected_covarianceMeanField.expected_psiMeanField.expected_sufficient_statistics_psiMeanField.inv_gammaMeanField.log_prob()MeanField.maskMeanField.meanMeanField.mode()MeanField.mvnMeanField.noiseMeanField.precisionMeanField.sample()MeanField.weights
MultivariateNormalMultivariateNormal.apply_mask_matrix()MultivariateNormal.apply_mask_vector()MultivariateNormal.batch_shapeMultivariateNormal.covarianceMultivariateNormal.dnat1MultivariateNormal.dnat2MultivariateNormal.event_shapeMultivariateNormal.expected_second_momentMultivariateNormal.expected_sufficient_statisticsMultivariateNormal.from_natural_parameters()MultivariateNormal.log_base_measure()MultivariateNormal.log_normalizerMultivariateNormal.maskMultivariateNormal.meanMultivariateNormal.mf_expectations()MultivariateNormal.mf_update()MultivariateNormal.nat1MultivariateNormal.nat1_0MultivariateNormal.nat2MultivariateNormal.nat2_0MultivariateNormal.natural_param_shapeMultivariateNormal.natural_parametersMultivariateNormal.precisionMultivariateNormal.sample()MultivariateNormal.sufficient_statistics()
MultivariateNormalInverseGammaMultivariateNormalInverseGamma.alphaMultivariateNormalInverseGamma.batch_shapeMultivariateNormalInverseGamma.betaMultivariateNormalInverseGamma.col_covarianceMultivariateNormalInverseGamma.covarianceMultivariateNormalInverseGamma.event_shapeMultivariateNormalInverseGamma.expected_covarianceMultivariateNormalInverseGamma.expected_log_psiMultivariateNormalInverseGamma.expected_psiMultivariateNormalInverseGamma.expected_sufficient_statistics_psiMultivariateNormalInverseGamma.inv_gammaMultivariateNormalInverseGamma.log_prob()MultivariateNormalInverseGamma.meanMultivariateNormalInverseGamma.mode()MultivariateNormalInverseGamma.mvnMultivariateNormalInverseGamma.precisionMultivariateNormalInverseGamma.sample()
NormalNormal.batch_shapeNormal.entropyNormal.event_shapeNormal.expected_sufficient_statisticsNormal.from_natural_parameters()Normal.locNormal.log_base_measure()Normal.log_normalizerNormal.nat1Normal.nat2Normal.natural_param_shapeNormal.natural_parametersNormal.precisionNormal.sample()Normal.scaleNormal.sufficient_statistics()
PoissonPoisson.batch_shapePoisson.entropyPoisson.event_shapePoisson.expected_sufficient_statisticsPoisson.from_natural_parameters()Poisson.log_base_measure()Poisson.log_normalizerPoisson.log_ratePoisson.nat1Poisson.natural_param_shapePoisson.natural_parametersPoisson.ratePoisson.sample()Poisson.sufficient_statistics()
- sppcax.inference package
- sppcax.metrics package
- sppcax.models package
- sppcax.parameter_expansion package
Submodules
sppcax.types module
Type definitions for sppcax.