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166 | 166 | # pylint: enable=line-too-long
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167 | 167 |
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168 | 168 | __all__ = [
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169 |
| - 'FULLY_REPARAMETERIZED', |
170 |
| - 'NOT_REPARAMETERIZED', |
171 |
| - 'ReparameterizationType', |
172 |
| - 'Distribution', |
173 | 169 | 'Autoregressive',
|
174 | 170 | 'BatchBroadcast',
|
175 | 171 | 'BatchReshape',
|
|
185 | 181 | 'Chi',
|
186 | 182 | 'Chi2',
|
187 | 183 | 'CholeskyLKJ',
|
| 184 | + 'DeterminantalPointProcess', |
188 | 185 | 'Deterministic',
|
| 186 | + 'Dirichlet', |
| 187 | + 'DirichletMultinomial', |
| 188 | + 'Distribution', |
189 | 189 | 'DoublesidedMaxwell',
|
190 |
| - 'VectorDeterministic', |
191 |
| - 'DeterminantalPointProcess', |
192 | 190 | 'Empirical',
|
193 |
| - 'ExponentiallyModifiedGaussian', |
194 | 191 | 'ExpGamma',
|
195 | 192 | 'ExpInverseGamma',
|
196 | 193 | 'Exponential',
|
197 |
| - 'VectorExponentialDiag', |
| 194 | + 'ExponentiallyModifiedGaussian', |
| 195 | + 'ExpRelaxedOneHotCategorical', |
| 196 | + 'FiniteDiscrete', |
| 197 | + 'FULLY_REPARAMETERIZED', |
198 | 198 | 'Gamma',
|
199 | 199 | 'GammaGamma',
|
200 |
| - 'InverseGaussian', |
| 200 | + 'GaussianProcess', |
| 201 | + 'GaussianProcessRegressionModel', |
| 202 | + 'GeneralizedExtremeValue', |
201 | 203 | 'GeneralizedNormal',
|
202 | 204 | 'GeneralizedPareto',
|
203 | 205 | 'Geometric',
|
204 |
| - 'GaussianProcess', |
205 |
| - 'GaussianProcessRegressionModel', |
206 |
| - 'VariationalGaussianProcess', |
207 | 206 | 'Gumbel',
|
208 |
| - 'GeneralizedExtremeValue', |
209 | 207 | 'HalfCauchy',
|
210 | 208 | 'HalfNormal',
|
211 | 209 | 'HalfStudentT',
|
212 | 210 | 'HiddenMarkovModel',
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213 | 211 | 'Horseshoe',
|
214 | 212 | 'Independent',
|
| 213 | + 'independent_joint_distribution_from_structure', |
215 | 214 | 'InverseGamma',
|
| 215 | + 'InverseGaussian', |
216 | 216 | 'JohnsonSU',
|
217 | 217 | 'JointDistribution',
|
218 | 218 | 'JointDistributionCoroutine',
|
|
221 | 221 | 'JointDistributionNamedAutoBatched',
|
222 | 222 | 'JointDistributionSequential',
|
223 | 223 | 'JointDistributionSequentialAutoBatched',
|
| 224 | + 'kl_divergence', |
224 | 225 | 'Kumaraswamy',
|
225 | 226 | 'LambertWDistribution',
|
226 | 227 | 'LambertWNormal',
|
227 | 228 | 'Laplace',
|
228 | 229 | 'LinearGaussianStateSpaceModel',
|
229 | 230 | 'LKJ',
|
230 | 231 | 'Logistic',
|
| 232 | + 'LogitNormal', |
231 | 233 | 'LogLogistic',
|
232 | 234 | 'LogNormal',
|
233 |
| - 'LogitNormal', |
234 | 235 | 'MarkovChain',
|
| 236 | + 'Masked', |
| 237 | + 'MatrixNormalLinearOperator', |
| 238 | + 'MatrixTLinearOperator', |
| 239 | + 'Mixture', |
| 240 | + 'MixtureSameFamily', |
235 | 241 | 'Moyal',
|
| 242 | + 'Multinomial', |
| 243 | + 'MultivariateNormalDiag', |
| 244 | + 'MultivariateNormalDiagPlusLowRank', |
| 245 | + 'MultivariateNormalFullCovariance', |
| 246 | + 'MultivariateNormalLinearOperator', |
| 247 | + 'MultivariateNormalTriL', |
| 248 | + 'MultivariateStudentTLinearOperator', |
| 249 | + 'mvn_conjugate_linear_update', |
236 | 250 | 'NegativeBinomial',
|
237 | 251 | 'Normal',
|
| 252 | + 'normal_conjugates_known_scale_posterior', |
| 253 | + 'normal_conjugates_known_scale_predictive', |
238 | 254 | 'NormalInverseGaussian',
|
| 255 | + 'NOT_REPARAMETERIZED', |
| 256 | + 'OneHotCategorical', |
| 257 | + 'OrderedLogistic', |
| 258 | + 'Pareto', |
| 259 | + 'PERT', |
239 | 260 | 'PixelCNN',
|
| 261 | + 'PlackettLuce', |
240 | 262 | 'Poisson',
|
241 | 263 | 'PoissonLogNormalQuadratureCompound',
|
| 264 | + 'PowerSpherical', |
242 | 265 | 'ProbitBernoulli',
|
| 266 | + 'quadrature_scheme_lognormal_gauss_hermite', |
| 267 | + 'quadrature_scheme_lognormal_quantiles', |
| 268 | + 'QuantizedDistribution', |
| 269 | + 'RegisterKL', |
| 270 | + 'RelaxedBernoulli', |
| 271 | + 'RelaxedOneHotCategorical', |
| 272 | + 'ReparameterizationType', |
243 | 273 | 'Sample',
|
244 | 274 | 'SigmoidBeta',
|
245 | 275 | 'SinhArcsinh',
|
|
248 | 278 | 'StoppingRatioLogistic',
|
249 | 279 | 'StudentT',
|
250 | 280 | 'StudentTProcess',
|
| 281 | + 'TransformedDistribution', |
251 | 282 | 'Triangular',
|
252 | 283 | 'TruncatedCauchy',
|
253 | 284 | 'TruncatedNormal',
|
254 | 285 | 'Uniform',
|
255 |
| - 'Masked', |
256 |
| - 'MatrixNormalLinearOperator', |
257 |
| - 'MatrixTLinearOperator', |
258 |
| - 'MultivariateNormalDiag', |
259 |
| - 'MultivariateNormalFullCovariance', |
260 |
| - 'MultivariateNormalLinearOperator', |
261 |
| - 'MultivariateNormalTriL', |
262 |
| - 'MultivariateNormalDiagPlusLowRank', |
263 |
| - 'MultivariateStudentTLinearOperator', |
264 |
| - 'Dirichlet', |
265 |
| - 'DirichletMultinomial', |
266 |
| - 'Multinomial', |
| 286 | + 'VariationalGaussianProcess', |
| 287 | + 'VectorDeterministic', |
| 288 | + 'VectorExponentialDiag', |
267 | 289 | 'VonMises',
|
268 | 290 | 'VonMisesFisher',
|
269 | 291 | 'Weibull',
|
270 | 292 | 'WishartLinearOperator',
|
271 | 293 | 'WishartTriL',
|
272 |
| - 'TransformedDistribution', |
273 |
| - 'QuantizedDistribution', |
274 |
| - 'Mixture', |
275 |
| - 'MixtureSameFamily', |
276 |
| - 'ExpRelaxedOneHotCategorical', |
277 |
| - 'OneHotCategorical', |
278 |
| - 'OrderedLogistic', |
279 |
| - 'Pareto', |
280 |
| - 'PERT', |
281 |
| - 'PlackettLuce', |
282 |
| - 'PowerSpherical', |
283 |
| - 'RelaxedBernoulli', |
284 |
| - 'RelaxedOneHotCategorical', |
285 | 294 | 'Zipf',
|
286 |
| - 'kl_divergence', |
287 |
| - 'RegisterKL', |
288 |
| - 'independent_joint_distribution_from_structure', |
289 |
| - 'mvn_conjugate_linear_update', |
290 |
| - 'normal_conjugates_known_scale_posterior', |
291 |
| - 'normal_conjugates_known_scale_predictive', |
292 |
| - 'quadrature_scheme_lognormal_gauss_hermite', |
293 |
| - 'quadrature_scheme_lognormal_quantiles', |
294 | 295 | ]
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