DMixLearn
Installation
Base Distributions
Combinator Distributions
Mixture Models
Abstract Classes
User Defined Classes
MPI4PY Estimation Example
DMixLearn
Index
Index
_
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A
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B
|
C
|
D
|
E
|
F
|
G
|
H
|
I
|
J
|
K
|
L
|
M
|
N
|
O
|
P
|
R
|
S
|
T
|
U
|
V
|
W
|
Z
_
__init__() (dml.stats.binomial.BinomialDistribution method)
(dml.stats.binomial.BinomialEstimator method)
(dml.stats.categorical.CategoricalDistribution method)
(dml.stats.categorical.CategoricalEstimator method)
(dml.stats.catmultinomial.MultinomialDistribution method)
(dml.stats.catmultinomial.MultinomialEstimator method)
(dml.stats.composite.CompositeDistribution method)
(dml.stats.composite.CompositeEstimator method)
(dml.stats.conditional.ConditionalDistribution method)
(dml.stats.conditional.ConditionalDistributionEstimator method)
(dml.stats.dirichlet.DirichletDistribution method)
(dml.stats.dirichlet.DirichletEstimator method)
(dml.stats.dmvn.DiagonalGaussianDistribution method)
(dml.stats.dmvn.DiagonalGaussianEstimator method)
(dml.stats.exponential.ExponentialDistribution method)
(dml.stats.exponential.ExponentialEstimator method)
(dml.stats.gamma.GammaDistribution method)
(dml.stats.gamma.GammaEstimator method)
(dml.stats.gaussian.GaussianDistribution method)
(dml.stats.gaussian.GaussianEstimator method)
(dml.stats.geometric.GeometricDistribution method)
(dml.stats.geometric.GeometricEstimator method)
(dml.stats.heterogeneous_mixture.HeterogeneousMixtureDistribution method)
(dml.stats.heterogeneous_mixture.HeterogeneousMixtureEstimator method)
(dml.stats.hidden_markov.HiddenMarkovEstimator method)
(dml.stats.hidden_markov.HiddenMarkovModelDistribution method)
(dml.stats.hmixture.HierarchicalMixtureDistribution method)
(dml.stats.hmixture.HierarchicalMixtureEstimator method)
(dml.stats.ignored.IgnoredDistribution method)
(dml.stats.ignored.IgnoredEstimator method)
(dml.stats.int_spike.SpikeAndSlabDistribution method)
(dml.stats.int_spike.SpikeAndSlabEstimator method)
(dml.stats.intmultinomial.IntegerMultinomialDistribution method)
(dml.stats.intmultinomial.IntegerMultinomialEstimator method)
(dml.stats.intrange.IntegerCategoricalDistribution method)
(dml.stats.intrange.IntegerCategoricalEstimator method)
(dml.stats.intsetdist.IntegerBernoulliSetDistribution method)
(dml.stats.intsetdist.IntegerBernoulliSetEstimator method)
(dml.stats.jmixture.JointMixtureDistribution method)
(dml.stats.jmixture.JointMixtureEstimator method)
(dml.stats.log_gaussian.LogGaussianDistribution method)
(dml.stats.log_gaussian.LogGaussianEstimator method)
(dml.stats.markovchain.MarkovChainDistribution method)
(dml.stats.markovchain.MarkovChainEstimator method)
(dml.stats.mixture.MixtureDistribution method)
(dml.stats.mixture.MixtureEstimator method)
(dml.stats.mvn.MultivariateGaussianDistribution method)
(dml.stats.mvn.MultivariateGaussianEstimator method)
(dml.stats.optional.OptionalDistribution method)
(dml.stats.optional.OptionalEstimator method)
(dml.stats.pdist.DistributionSampler method)
(dml.stats.pdist.EncodedDataSequence method)
(dml.stats.pdist.ParameterEstimator method)
(dml.stats.pdist.ProbabilityDistribution method)
(dml.stats.poisson.PoissonDistribution method)
(dml.stats.poisson.PoissonEstimator method)
(dml.stats.sequence.SequenceDistribution method)
(dml.stats.sequence.SequenceEstimator method)
(dml.stats.setdist.BernoulliSetDistribution method)
(dml.stats.setdist.BernoulliSetEstimator method)
A
acc_to_encoder() (dml.stats.pdist.SequenceEncodableStatisticAccumulator method)
accumulator_factory() (dml.stats.binomial.BinomialEstimator method)
(dml.stats.categorical.CategoricalEstimator method)
(dml.stats.catmultinomial.MultinomialEstimator method)
(dml.stats.composite.CompositeEstimator method)
(dml.stats.conditional.ConditionalDistributionEstimator method)
(dml.stats.dirichlet.DirichletEstimator method)
(dml.stats.dmvn.DiagonalGaussianEstimator method)
(dml.stats.exponential.ExponentialEstimator method)
(dml.stats.gamma.GammaEstimator method)
(dml.stats.gaussian.GaussianEstimator method)
(dml.stats.geometric.GeometricEstimator method)
(dml.stats.heterogeneous_mixture.HeterogeneousMixtureEstimator method)
(dml.stats.hidden_markov.HiddenMarkovEstimator method)
(dml.stats.hmixture.HierarchicalMixtureEstimator method)
(dml.stats.ignored.IgnoredEstimator method)
(dml.stats.int_spike.SpikeAndSlabEstimator method)
(dml.stats.intmultinomial.IntegerMultinomialEstimator method)
(dml.stats.intrange.IntegerCategoricalEstimator method)
(dml.stats.intsetdist.IntegerBernoulliSetEstimator method)
(dml.stats.jmixture.JointMixtureEstimator method)
(dml.stats.log_gaussian.LogGaussianEstimator method)
(dml.stats.markovchain.MarkovChainEstimator method)
(dml.stats.mixture.MixtureEstimator method)
(dml.stats.mvn.MultivariateGaussianEstimator method)
(dml.stats.optional.OptionalEstimator method)
(dml.stats.pdist.ParameterEstimator method)
(dml.stats.poisson.PoissonEstimator method)
(dml.stats.sequence.SequenceEstimator method)
(dml.stats.setdist.BernoulliSetEstimator method)
all_vals (dml.stats.markovchain.MarkovChainDistribution attribute)
alpha (dml.stats.dirichlet.DirichletDistribution attribute)
alpha_ma (dml.stats.dirichlet.DirichletDistribution attribute)
B
BernoulliSetDistribution (class in dml.stats.setdist)
BernoulliSetEstimator (class in dml.stats.setdist)
BernoulliSetSampler (class in dml.stats.setdist)
beta (dml.stats.exponential.ExponentialDistribution attribute)
BinomialDistribution (class in dml.stats.binomial)
BinomialEstimator (class in dml.stats.binomial)
BinomialSampler (class in dml.stats.binomial)
C
ca (dml.stats.dmvn.DiagonalGaussianDistribution attribute)
CategoricalDistribution (class in dml.stats.categorical)
CategoricalEstimator (class in dml.stats.categorical)
CategoricalSampler (class in dml.stats.categorical)
cb (dml.stats.dmvn.DiagonalGaussianDistribution attribute)
cc (dml.stats.dmvn.DiagonalGaussianDistribution attribute)
chol (dml.stats.mvn.MultivariateGaussianDistribution attribute)
chol_const (dml.stats.mvn.MultivariateGaussianDistribution.self attribute)
combine() (dml.stats.pdist.StatisticAccumulator method)
comp_sampler1 (dml.stats.jmixture.JointMixtureSampler attribute)
comp_sampler2 (dml.stats.jmixture.JointMixtureSampler attribute)
comp_samplers (dml.stats.heterogeneous_mixture.HeterogeneousMixtureSampler attribute)
(dml.stats.mixture.MixtureSampler attribute)
component_log_density() (dml.stats.heterogeneous_mixture.HeterogeneousMixtureDistribution method)
(dml.stats.hmixture.HierarchicalMixtureDistribution method)
(dml.stats.mixture.MixtureDistribution method)
components (dml.stats.heterogeneous_mixture.HeterogeneousMixtureDistribution attribute)
(dml.stats.mixture.MixtureDistribution attribute)
components1 (dml.stats.jmixture.JointMixtureDistribution attribute)
components2 (dml.stats.jmixture.JointMixtureDistribution attribute)
CompositeDistribution (class in dml.stats.composite)
CompositeEstimator (class in dml.stats.composite)
CompositeSampler (class in dml.stats.composite)
ConditionalDistribution (class in dml.stats.conditional)
ConditionalDistributionEstimator (class in dml.stats.conditional)
ConditionalDistributionSampler (class in dml.stats.conditional)
ConditionalSampler (class in dml.stats.pdist)
const (dml.stats.gaussian.GaussianDistribution attribute)
(dml.stats.log_gaussian.LogGaussianDistribution attribute)
count (dml.stats.composite.CompositeDistribution attribute)
(dml.stats.composite.CompositeEstimator attribute)
covar (dml.stats.dmvn.DiagonalGaussianDistribution attribute)
(dml.stats.mvn.MultivariateGaussianDistribution attribute)
D
DataSequenceEncoder (class in dml.stats.pdist)
default_dist (dml.stats.conditional.ConditionalDistribution attribute)
default_estimator (dml.stats.conditional.ConditionalDistributionEstimator attribute)
default_sampler (dml.stats.conditional.ConditionalDistributionSampler attribute)
default_value (dml.stats.categorical.CategoricalDistribution attribute)
(dml.stats.categorical.CategoricalEstimator attribute)
(dml.stats.markovchain.MarkovChainDistribution attribute)
delta (dml.stats.dirichlet.DirichletEstimator attribute)
density() (dml.stats.binomial.BinomialDistribution method)
(dml.stats.categorical.CategoricalDistribution method)
(dml.stats.catmultinomial.MultinomialDistribution method)
(dml.stats.composite.CompositeDistribution method)
(dml.stats.conditional.ConditionalDistribution method)
(dml.stats.dirichlet.DirichletDistribution method)
(dml.stats.dmvn.DiagonalGaussianDistribution method)
(dml.stats.exponential.ExponentialDistribution method)
(dml.stats.gamma.GammaDistribution method)
(dml.stats.gaussian.GaussianDistribution method)
(dml.stats.geometric.GeometricDistribution method)
(dml.stats.heterogeneous_mixture.HeterogeneousMixtureDistribution method)
(dml.stats.hidden_markov.HiddenMarkovModelDistribution method)
(dml.stats.hmixture.HierarchicalMixtureDistribution method)
(dml.stats.ignored.IgnoredDistribution method)
(dml.stats.intmultinomial.IntegerMultinomialDistribution method)
(dml.stats.intrange.IntegerCategoricalDistribution method)
(dml.stats.log_gaussian.LogGaussianDistribution method)
(dml.stats.markovchain.MarkovChainDistribution method)
(dml.stats.mixture.MixtureDistribution method)
(dml.stats.mvn.MultivariateGaussianDistribution method)
(dml.stats.optional.OptionalDistribution method)
(dml.stats.poisson.PoissonDistribution method)
(dml.stats.sequence.SequenceDistribution method)
DiagonalGaussianDistribution (class in dml.stats.dmvn)
DiagonalGaussianEstimator (class in dml.stats.dmvn)
DiagonalGaussianSampler (class in dml.stats.dmvn)
dim (dml.stats.dirichlet.DirichletDistribution attribute)
(dml.stats.dirichlet.DirichletEstimator attribute)
(dml.stats.dmvn.DiagonalGaussianDistribution attribute)
(dml.stats.dmvn.DiagonalGaussianEstimator attribute)
(dml.stats.mvn.MultivariateGaussianDistribution attribute)
(dml.stats.mvn.MultivariateGaussianEstimator attribute)
DirichletDistribution (class in dml.stats.dirichlet)
DirichletEstimator (class in dml.stats.dirichlet)
DirichletSampler (class in dml.stats.dirichlet)
dist (dml.stats.binomial.BinomialSampler attribute)
(dml.stats.catmultinomial.MultinomialDistribution attribute)
(dml.stats.catmultinomial.MultinomialSampler attribute)
(dml.stats.composite.CompositeSampler attribute)
(dml.stats.conditional.ConditionalDistributionSampler attribute)
(dml.stats.dirichlet.DirichletSampler attribute)
(dml.stats.dmvn.DiagonalGaussianSampler attribute)
(dml.stats.exponential.ExponentialSampler attribute)
(dml.stats.gamma.GammaSampler attribute)
(dml.stats.gaussian.GaussianSampler attribute)
(dml.stats.geometric.GeometricSampler attribute)
(dml.stats.heterogeneous_mixture.HeterogeneousMixtureSampler attribute)
(dml.stats.hidden_markov.HiddenMarkovSampler attribute)
(dml.stats.hmixture.HierarchicalMixtureSampler attribute)
(dml.stats.ignored.IgnoredDistribution attribute)
(dml.stats.ignored.IgnoredEstimator attribute)
(dml.stats.int_spike.SpikeAndSlabSampler attribute)
(dml.stats.intmultinomial.IntegerMultinomialSampler attribute)
(dml.stats.intrange.IntegerCategoricalSampler attribute)
(dml.stats.intsetdist.IntegerBernoulliSetSampler attribute)
(dml.stats.jmixture.JointMixtureSampler attribute)
(dml.stats.log_gaussian.LogGaussianSampler attribute)
(dml.stats.mixture.MixtureSampler attribute)
(dml.stats.mvn.MultivariateGaussianSampler attribute)
(dml.stats.optional.OptionalDistribution attribute)
(dml.stats.optional.OptionalSampler attribute)
(dml.stats.pdist.DistributionSampler attribute)
(dml.stats.poisson.PoissonSampler attribute)
(dml.stats.sequence.SequenceDistribution attribute)
(dml.stats.sequence.SequenceSampler attribute)
(dml.stats.setdist.BernoulliSetSampler attribute)
dist_sampler (dml.stats.catmultinomial.MultinomialSampler attribute)
(dml.stats.ignored.IgnoredSampler attribute)
(dml.stats.sequence.SequenceSampler attribute)
dist_samplers (dml.stats.composite.CompositeSampler attribute)
dist_to_encoder() (dml.stats.binomial.BinomialDistribution method)
(dml.stats.categorical.CategoricalDistribution method)
(dml.stats.catmultinomial.MultinomialDistribution method)
(dml.stats.composite.CompositeDistribution method)
(dml.stats.conditional.ConditionalDistribution method)
(dml.stats.dirichlet.DirichletDistribution method)
(dml.stats.dmvn.DiagonalGaussianDistribution method)
(dml.stats.exponential.ExponentialDistribution method)
(dml.stats.gamma.GammaDistribution method)
(dml.stats.gaussian.GaussianDistribution method)
(dml.stats.geometric.GeometricDistribution method)
(dml.stats.heterogeneous_mixture.HeterogeneousMixtureDistribution method)
(dml.stats.hidden_markov.HiddenMarkovModelDistribution method)
(dml.stats.hmixture.HierarchicalMixtureDistribution method)
(dml.stats.ignored.IgnoredDistribution method)
(dml.stats.int_spike.SpikeAndSlabDistribution method)
(dml.stats.intmultinomial.IntegerMultinomialDistribution method)
(dml.stats.intrange.IntegerCategoricalDistribution method)
(dml.stats.intsetdist.IntegerBernoulliSetDistribution method)
(dml.stats.jmixture.JointMixtureDistribution method)
(dml.stats.log_gaussian.LogGaussianDistribution method)
(dml.stats.markovchain.MarkovChainDistribution method)
(dml.stats.mixture.MixtureDistribution method)
(dml.stats.mvn.MultivariateGaussianDistribution method)
(dml.stats.optional.OptionalDistribution method)
(dml.stats.pdist.SequenceEncodableProbabilityDistribution method)
(dml.stats.poisson.PoissonDistribution method)
(dml.stats.sequence.SequenceDistribution method)
(dml.stats.setdist.BernoulliSetDistribution method)
DistributionSampler (class in dml.stats.pdist)
dists (dml.stats.composite.CompositeDistribution attribute)
dmap (dml.stats.conditional.ConditionalDistribution attribute)
E
EncodedDataSequence (class in dml.stats.pdist)
est_prob (dml.stats.optional.OptionalEstimator attribute)
estimate() (dml.stats.binomial.BinomialEstimator method)
(dml.stats.categorical.CategoricalEstimator method)
(dml.stats.catmultinomial.MultinomialEstimator method)
(dml.stats.composite.CompositeEstimator method)
(dml.stats.conditional.ConditionalDistributionEstimator method)
(dml.stats.dirichlet.DirichletEstimator method)
(dml.stats.dmvn.DiagonalGaussianEstimator method)
(dml.stats.exponential.ExponentialEstimator method)
(dml.stats.gamma.GammaEstimator method)
(dml.stats.gaussian.GaussianEstimator method)
(dml.stats.geometric.GeometricEstimator method)
(dml.stats.heterogeneous_mixture.HeterogeneousMixtureEstimator method)
(dml.stats.hidden_markov.HiddenMarkovEstimator method)
(dml.stats.hmixture.HierarchicalMixtureEstimator method)
(dml.stats.ignored.IgnoredEstimator method)
(dml.stats.int_spike.SpikeAndSlabEstimator method)
(dml.stats.intmultinomial.IntegerMultinomialEstimator method)
(dml.stats.intrange.IntegerCategoricalEstimator method)
(dml.stats.intsetdist.IntegerBernoulliSetEstimator method)
(dml.stats.jmixture.JointMixtureEstimator method)
(dml.stats.log_gaussian.LogGaussianEstimator method)
(dml.stats.markovchain.MarkovChainEstimator method)
(dml.stats.mixture.MixtureEstimator method)
(dml.stats.mvn.MultivariateGaussianEstimator method)
(dml.stats.optional.OptionalEstimator method)
(dml.stats.pdist.ParameterEstimator method)
(dml.stats.poisson.PoissonEstimator method)
(dml.stats.sequence.SequenceEstimator method)
(dml.stats.setdist.BernoulliSetEstimator method)
estimate0() (dml.stats.markovchain.MarkovChainEstimator method)
estimate1() (dml.stats.markovchain.MarkovChainEstimator method)
estimate_shape() (dml.stats.gamma.GammaEstimator static method)
estimator (dml.stats.catmultinomial.MultinomialEstimator attribute)
(dml.stats.optional.OptionalEstimator attribute)
(dml.stats.sequence.SequenceEstimator attribute)
estimator() (dml.stats.binomial.BinomialDistribution method)
(dml.stats.categorical.CategoricalDistribution method)
(dml.stats.catmultinomial.MultinomialDistribution method)
(dml.stats.composite.CompositeDistribution method)
(dml.stats.conditional.ConditionalDistribution method)
(dml.stats.dirichlet.DirichletDistribution method)
(dml.stats.dmvn.DiagonalGaussianDistribution method)
(dml.stats.exponential.ExponentialDistribution method)
(dml.stats.gamma.GammaDistribution method)
(dml.stats.gaussian.GaussianDistribution method)
(dml.stats.geometric.GeometricDistribution method)
(dml.stats.heterogeneous_mixture.HeterogeneousMixtureDistribution method)
(dml.stats.hidden_markov.HiddenMarkovModelDistribution method)
(dml.stats.hmixture.HierarchicalMixtureDistribution method)
(dml.stats.ignored.IgnoredDistribution method)
(dml.stats.int_spike.SpikeAndSlabDistribution method)
(dml.stats.intmultinomial.IntegerMultinomialDistribution method)
(dml.stats.intrange.IntegerCategoricalDistribution method)
(dml.stats.intsetdist.IntegerBernoulliSetDistribution method)
(dml.stats.jmixture.JointMixtureDistribution method)
(dml.stats.log_gaussian.LogGaussianDistribution method)
(dml.stats.markovchain.MarkovChainDistribution method)
(dml.stats.mixture.MixtureDistribution method)
(dml.stats.mvn.MultivariateGaussianDistribution method)
(dml.stats.optional.OptionalDistribution method)
(dml.stats.pdist.ProbabilityDistribution method)
(dml.stats.poisson.PoissonDistribution method)
(dml.stats.sequence.SequenceDistribution method)
(dml.stats.setdist.BernoulliSetDistribution method)
estimator_map (dml.stats.conditional.ConditionalDistributionEstimator attribute)
estimators (dml.stats.composite.CompositeEstimator attribute)
(dml.stats.heterogeneous_mixture.HeterogeneousMixtureEstimator attribute)
(dml.stats.hidden_markov.HiddenMarkovEstimator attribute)
(dml.stats.hmixture.HierarchicalMixtureEstimator attribute)
(dml.stats.mixture.MixtureEstimator attribute)
estimators1 (dml.stats.jmixture.JointMixtureEstimator attribute)
estimators2 (dml.stats.jmixture.JointMixtureEstimator attribute)
ExponentialDistribution (class in dml.stats.exponential)
ExponentialEstimator (class in dml.stats.exponential)
ExponentialSampler (class in dml.stats.exponential)
F
fixed_weights (dml.stats.heterogeneous_mixture.HeterogeneousMixtureEstimator attribute)
(dml.stats.mixture.MixtureEstimator attribute)
from_value() (dml.stats.pdist.StatisticAccumulator method)
G
GammaDistribution (class in dml.stats.gamma)
GammaEstimator (class in dml.stats.gamma)
GammaSampler (class in dml.stats.gamma)
GaussianDistribution (class in dml.stats.gaussian)
GaussianEstimator (class in dml.stats.gaussian)
GaussianSampler (class in dml.stats.gaussian)
GeometricDistribution (class in dml.stats.geometric)
GeometricEstimator (class in dml.stats.geometric)
GeometricSampler (class in dml.stats.geometric)
given_dist (dml.stats.conditional.ConditionalDistribution attribute)
given_estimator (dml.stats.conditional.ConditionalDistributionEstimator attribute)
given_sampler (dml.stats.conditional.ConditionalDistributionSampler attribute)
H
has_default (dml.stats.conditional.ConditionalDistribution attribute)
has_default_sampler (dml.stats.conditional.ConditionalDistributionSampler attribute)
has_given (dml.stats.conditional.ConditionalDistribution attribute)
has_given_sampler (dml.stats.conditional.ConditionalDistributionSampler attribute)
has_invalid (dml.stats.dirichlet.DirichletDistribution attribute)
has_p (dml.stats.optional.OptionalDistribution attribute)
has_topics (dml.stats.hidden_markov.HiddenMarkovModelDistribution attribute)
HeterogeneousMixtureDistribution (class in dml.stats.heterogeneous_mixture)
HeterogeneousMixtureEstimator (class in dml.stats.heterogeneous_mixture)
HeterogeneousMixtureSampler (class in dml.stats.heterogeneous_mixture)
HiddenMarkovEstimator (class in dml.stats.hidden_markov)
HiddenMarkovModelDistribution (class in dml.stats.hidden_markov)
HiddenMarkovSampler (class in dml.stats.hidden_markov)
HierarchicalMixtureDistribution (class in dml.stats.hmixture)
HierarchicalMixtureEstimator (class in dml.stats.hmixture)
HierarchicalMixtureSampler (class in dml.stats.hmixture)
I
IgnoredDistribution (class in dml.stats.ignored)
IgnoredEstimator (class in dml.stats.ignored)
IgnoredSampler (class in dml.stats.ignored)
init_log_pvec (dml.stats.markovchain.MarkovChainDistribution attribute)
init_prob (dml.stats.markovchain.MarkovChainSampler attribute)
init_prob_map (dml.stats.markovchain.MarkovChainDistribution attribute)
initialize() (dml.stats.pdist.StatisticAccumulator method)
IntegerBernoulliSetDistribution (class in dml.stats.intsetdist)
IntegerBernoulliSetEstimator (class in dml.stats.intsetdist)
IntegerBernoulliSetSampler (class in dml.stats.intsetdist)
IntegerCategoricalDistribution (class in dml.stats.intrange)
IntegerCategoricalEstimator (class in dml.stats.intrange)
IntegerCategoricalSampler (class in dml.stats.intrange)
IntegerMultinomialDistribution (class in dml.stats.intmultinomial)
IntegerMultinomialEstimator (class in dml.stats.intmultinomial)
IntegerMultinomialSampler (class in dml.stats.intmultinomial)
inv_key_map (dml.stats.markovchain.MarkovChainDistribution attribute)
J
JointMixtureDistribution (class in dml.stats.jmixture)
JointMixtureEstimator (class in dml.stats.jmixture)
JointMixtureSampler (class in dml.stats.jmixture)
K
k (dml.stats.gamma.GammaDistribution attribute)
(dml.stats.int_spike.SpikeAndSlabDistribution attribute)
key (dml.stats.intsetdist.IntegerBernoulliSetDistribution attribute)
key_map (dml.stats.markovchain.MarkovChainDistribution attribute)
key_merge() (dml.stats.pdist.StatisticAccumulator method)
key_replace() (dml.stats.pdist.StatisticAccumulator method)
keys (dml.stats.binomial.BinomialDistribution attribute)
(dml.stats.binomial.BinomialEstimator attribute)
(dml.stats.categorical.CategoricalDistribution attribute)
(dml.stats.categorical.CategoricalEstimator attribute)
(dml.stats.catmultinomial.MultinomialDistribution attribute)
(dml.stats.catmultinomial.MultinomialEstimator attribute)
(dml.stats.composite.CompositeDistribution attribute)
(dml.stats.composite.CompositeEstimator attribute)
(dml.stats.conditional.ConditionalDistribution attribute)
(dml.stats.conditional.ConditionalDistributionEstimator attribute)
(dml.stats.dirichlet.DirichletDistribution attribute)
(dml.stats.dirichlet.DirichletEstimator attribute)
(dml.stats.dmvn.DiagonalGaussianDistribution attribute)
(dml.stats.dmvn.DiagonalGaussianEstimator attribute)
(dml.stats.exponential.ExponentialDistribution attribute)
(dml.stats.exponential.ExponentialEstimator attribute)
(dml.stats.gamma.GammaDistribution attribute)
(dml.stats.gamma.GammaEstimator attribute)
(dml.stats.gaussian.GaussianDistribution attribute)
(dml.stats.gaussian.GaussianEstimator attribute)
(dml.stats.geometric.GeometricDistribution attribute)
(dml.stats.geometric.GeometricEstimator attribute)
(dml.stats.heterogeneous_mixture.HeterogeneousMixtureDistribution attribute)
(dml.stats.heterogeneous_mixture.HeterogeneousMixtureEstimator attribute)
(dml.stats.hidden_markov.HiddenMarkovEstimator attribute)
(dml.stats.hidden_markov.HiddenMarkovModelDistribution attribute)
(dml.stats.hmixture.HierarchicalMixtureDistribution attribute)
(dml.stats.hmixture.HierarchicalMixtureEstimator attribute)
(dml.stats.ignored.IgnoredDistribution attribute)
(dml.stats.ignored.IgnoredEstimator attribute)
(dml.stats.int_spike.SpikeAndSlabDistribution attribute)
(dml.stats.int_spike.SpikeAndSlabEstimator attribute)
(dml.stats.intmultinomial.IntegerMultinomialDistribution attribute)
(dml.stats.intmultinomial.IntegerMultinomialEstimator attribute)
(dml.stats.intrange.IntegerCategoricalDistribution attribute)
(dml.stats.intrange.IntegerCategoricalEstimator attribute)
(dml.stats.intsetdist.IntegerBernoulliSetEstimator attribute)
(dml.stats.jmixture.JointMixtureDistribution attribute)
(dml.stats.jmixture.JointMixtureEstimator attribute)
(dml.stats.log_gaussian.LogGaussianDistribution attribute)
(dml.stats.log_gaussian.LogGaussianEstimator attribute)
(dml.stats.markovchain.MarkovChainDistribution attribute)
(dml.stats.markovchain.MarkovChainEstimator attribute)
(dml.stats.mixture.MixtureDistribution attribute)
(dml.stats.mixture.MixtureEstimator attribute)
(dml.stats.mvn.MultivariateGaussianDistribution attribute)
(dml.stats.mvn.MultivariateGaussianEstimator attribute)
(dml.stats.optional.OptionalDistribution attribute)
(dml.stats.optional.OptionalEstimator attribute)
(dml.stats.poisson.PoissonDistribution attribute)
(dml.stats.poisson.PoissonEstimator attribute)
(dml.stats.sequence.SequenceDistribution attribute)
(dml.stats.sequence.SequenceEstimator attribute)
(dml.stats.setdist.BernoulliSetDistribution attribute)
(dml.stats.setdist.BernoulliSetEstimator attribute)
L
lam (dml.stats.poisson.PoissonDistribution attribute)
len_dist (dml.stats.catmultinomial.MultinomialDistribution attribute)
(dml.stats.catmultinomial.MultinomialEstimator attribute)
(dml.stats.hidden_markov.HiddenMarkovModelDistribution attribute)
(dml.stats.hmixture.HierarchicalMixtureDistribution attribute)
(dml.stats.hmixture.HierarchicalMixtureEstimator attribute)
(dml.stats.intmultinomial.IntegerMultinomialDistribution attribute)
(dml.stats.intmultinomial.IntegerMultinomialEstimator attribute)
(dml.stats.markovchain.MarkovChainDistribution attribute)
(dml.stats.sequence.SequenceDistribution attribute)
(dml.stats.sequence.SequenceEstimator attribute)
(dml.stats.sequence.SequenceSampler attribute)
len_estimator (dml.stats.catmultinomial.MultinomialEstimator attribute)
(dml.stats.hidden_markov.HiddenMarkovEstimator attribute)
(dml.stats.hmixture.HierarchicalMixtureEstimator attribute)
(dml.stats.intmultinomial.IntegerMultinomialEstimator attribute)
(dml.stats.markovchain.MarkovChainEstimator attribute)
(dml.stats.sequence.SequenceEstimator attribute)
len_normalized (dml.stats.catmultinomial.MultinomialDistribution attribute)
(dml.stats.catmultinomial.MultinomialEstimator attribute)
(dml.stats.sequence.SequenceDistribution attribute)
(dml.stats.sequence.SequenceEstimator attribute)
len_sampler (dml.stats.catmultinomial.MultinomialSampler attribute)
(dml.stats.hidden_markov.HiddenMarkovSampler attribute)
(dml.stats.intmultinomial.IntegerMultinomialSampler attribute)
(dml.stats.markovchain.MarkovChainSampler attribute)
(dml.stats.sequence.SequenceSampler attribute)
levels (dml.stats.categorical.CategoricalSampler attribute)
(dml.stats.markovchain.MarkovChainEstimator attribute)
log1p_default_value (dml.stats.categorical.CategoricalDistribution attribute)
log1p_dv (dml.stats.markovchain.MarkovChainDistribution attribute)
log_1p (dml.stats.binomial.BinomialDistribution attribute)
(dml.stats.geometric.GeometricDistribution attribute)
(dml.stats.int_spike.SpikeAndSlabDistribution attribute)
log_beta (dml.stats.exponential.ExponentialDistribution attribute)
log_c (dml.stats.dmvn.DiagonalGaussianDistribution attribute)
log_const (dml.stats.dirichlet.DirichletDistribution attribute)
(dml.stats.gamma.GammaDistribution attribute)
(dml.stats.gaussian.GaussianDistribution attribute)
(dml.stats.log_gaussian.LogGaussianDistribution attribute)
log_default_value (dml.stats.categorical.CategoricalDistribution attribute)
log_density() (dml.stats.binomial.BinomialDistribution method)
(dml.stats.categorical.CategoricalDistribution method)
(dml.stats.catmultinomial.MultinomialDistribution method)
(dml.stats.composite.CompositeDistribution method)
(dml.stats.conditional.ConditionalDistribution method)
(dml.stats.dirichlet.DirichletDistribution method)
(dml.stats.dmvn.DiagonalGaussianDistribution method)
(dml.stats.exponential.ExponentialDistribution method)
(dml.stats.gamma.GammaDistribution method)
(dml.stats.gaussian.GaussianDistribution method)
(dml.stats.geometric.GeometricDistribution method)
(dml.stats.heterogeneous_mixture.HeterogeneousMixtureDistribution method)
(dml.stats.hidden_markov.HiddenMarkovModelDistribution method)
(dml.stats.hmixture.HierarchicalMixtureDistribution method)
(dml.stats.ignored.IgnoredDistribution method)
(dml.stats.int_spike.SpikeAndSlabDistribution method)
(dml.stats.intmultinomial.IntegerMultinomialDistribution method)
(dml.stats.intrange.IntegerCategoricalDistribution method)
(dml.stats.intsetdist.IntegerBernoulliSetDistribution method)
(dml.stats.jmixture.JointMixtureDistribution method)
(dml.stats.log_gaussian.LogGaussianDistribution method)
(dml.stats.markovchain.MarkovChainDistribution method)
(dml.stats.mixture.MixtureDistribution method)
(dml.stats.mvn.MultivariateGaussianDistribution method)
(dml.stats.optional.OptionalDistribution method)
(dml.stats.pdist.ProbabilityDistribution method)
(dml.stats.poisson.PoissonDistribution method)
(dml.stats.sequence.SequenceDistribution method)
(dml.stats.setdist.BernoulliSetDistribution method)
log_dmap (dml.stats.setdist.BernoulliSetDistribution attribute)
log_dtv (dml.stats.markovchain.MarkovChainDistribution attribute)
log_dv (dml.stats.markovchain.MarkovChainDistribution attribute)
log_dvec (dml.stats.intsetdist.IntegerBernoulliSetDistribution attribute)
log_lambda (dml.stats.poisson.PoissonDistribution attribute)
log_nsum (dml.stats.intsetdist.IntegerBernoulliSetDistribution attribute)
log_nvec (dml.stats.intsetdist.IntegerBernoulliSetDistribution attribute)
log_p (dml.stats.binomial.BinomialDistribution attribute)
(dml.stats.geometric.GeometricDistribution attribute)
(dml.stats.int_spike.SpikeAndSlabDistribution attribute)
(dml.stats.optional.OptionalDistribution attribute)
log_p_vec (dml.stats.intmultinomial.IntegerMultinomialDistribution attribute)
(dml.stats.intrange.IntegerCategoricalDistribution attribute)
log_pn (dml.stats.optional.OptionalDistribution attribute)
log_pvec (dml.stats.intsetdist.IntegerBernoulliSetDistribution attribute)
log_taus (dml.stats.hidden_markov.HiddenMarkovModelDistribution attribute)
(dml.stats.hmixture.HierarchicalMixtureDistribution attribute)
log_taus12 (dml.stats.jmixture.JointMixtureDistribution attribute)
log_taus21 (dml.stats.jmixture.JointMixtureDistribution attribute)
log_transition_map (dml.stats.markovchain.MarkovChainDistribution attribute)
log_transitions (dml.stats.hidden_markov.HiddenMarkovModelDistribution attribute)
log_w (dml.stats.heterogeneous_mixture.HeterogeneousMixtureDistribution attribute)
(dml.stats.hidden_markov.HiddenMarkovModelDistribution attribute)
(dml.stats.hmixture.HierarchicalMixtureDistribution attribute)
(dml.stats.mixture.MixtureDistribution attribute)
log_w1 (dml.stats.jmixture.JointMixtureDistribution attribute)
log_w2 (dml.stats.jmixture.JointMixtureDistribution attribute)
LogGaussianDistribution (class in dml.stats.log_gaussian)
LogGaussianEstimator (class in dml.stats.log_gaussian)
LogGaussianSampler (class in dml.stats.log_gaussian)
loginit_prob_map (dml.stats.markovchain.MarkovChainDistribution attribute)
lower (dml.stats.mvn.MultivariateGaussianDistribution attribute)
M
MarkovChainDistribution (class in dml.stats.markovchain)
MarkovChainEstimator (class in dml.stats.markovchain)
MarkovChainSampler (class in dml.stats.markovchain)
max_val (dml.stats.binomial.BinomialEstimator attribute)
(dml.stats.int_spike.SpikeAndSlabDistribution attribute)
(dml.stats.int_spike.SpikeAndSlabEstimator attribute)
(dml.stats.intmultinomial.IntegerMultinomialDistribution attribute)
(dml.stats.intmultinomial.IntegerMultinomialEstimator attribute)
(dml.stats.intrange.IntegerCategoricalDistribution attribute)
(dml.stats.intrange.IntegerCategoricalEstimator attribute)
min_prob (dml.stats.intsetdist.IntegerBernoulliSetEstimator attribute)
(dml.stats.setdist.BernoulliSetDistribution attribute)
(dml.stats.setdist.BernoulliSetEstimator attribute)
min_val (dml.stats.binomial.BinomialDistribution attribute)
(dml.stats.binomial.BinomialEstimator attribute)
(dml.stats.int_spike.SpikeAndSlabDistribution attribute)
(dml.stats.int_spike.SpikeAndSlabEstimator attribute)
(dml.stats.intmultinomial.IntegerMultinomialDistribution attribute)
(dml.stats.intmultinomial.IntegerMultinomialEstimator attribute)
(dml.stats.intrange.IntegerCategoricalDistribution attribute)
(dml.stats.intrange.IntegerCategoricalEstimator attribute)
missing_value (dml.stats.optional.OptionalDistribution attribute)
(dml.stats.optional.OptionalEstimator attribute)
missing_value_is_nan (dml.stats.optional.OptionalDistribution attribute)
MixtureDistribution (class in dml.stats.mixture)
MixtureEstimator (class in dml.stats.mixture)
MixtureSampler (class in dml.stats.mixture)
mu (dml.stats.dmvn.DiagonalGaussianDistribution attribute)
(dml.stats.gaussian.GaussianDistribution attribute)
(dml.stats.log_gaussian.LogGaussianDistribution attribute)
(dml.stats.mvn.MultivariateGaussianDistribution attribute)
MultinomialDistribution (class in dml.stats.catmultinomial)
MultinomialEstimator (class in dml.stats.catmultinomial)
MultinomialSampler (class in dml.stats.catmultinomial)
MultivariateGaussianDistribution (class in dml.stats.mvn)
MultivariateGaussianEstimator (class in dml.stats.mvn)
MultivariateGaussianSampler (class in dml.stats.mvn)
N
n (dml.stats.binomial.BinomialDistribution attribute)
n_states (dml.stats.hidden_markov.HiddenMarkovModelDistribution attribute)
n_topics (dml.stats.hidden_markov.HiddenMarkovModelDistribution attribute)
name (dml.stats.binomial.BinomialDistribution attribute)
(dml.stats.binomial.BinomialEstimator attribute)
(dml.stats.categorical.CategoricalDistribution attribute)
(dml.stats.categorical.CategoricalEstimator attribute)
(dml.stats.catmultinomial.MultinomialDistribution attribute)
(dml.stats.catmultinomial.MultinomialEstimator attribute)
(dml.stats.composite.CompositeDistribution attribute)
(dml.stats.composite.CompositeEstimator attribute)
(dml.stats.conditional.ConditionalDistribution attribute)
(dml.stats.conditional.ConditionalDistributionEstimator attribute)
(dml.stats.dirichlet.DirichletDistribution attribute)
(dml.stats.dirichlet.DirichletEstimator attribute)
(dml.stats.dmvn.DiagonalGaussianDistribution attribute)
(dml.stats.dmvn.DiagonalGaussianEstimator attribute)
(dml.stats.exponential.ExponentialDistribution attribute)
(dml.stats.exponential.ExponentialEstimator attribute)
(dml.stats.gamma.GammaDistribution attribute)
(dml.stats.gamma.GammaEstimator attribute)
(dml.stats.gaussian.GaussianDistribution attribute)
(dml.stats.gaussian.GaussianEstimator attribute)
(dml.stats.geometric.GeometricDistribution attribute)
(dml.stats.geometric.GeometricEstimator attribute)
(dml.stats.heterogeneous_mixture.HeterogeneousMixtureDistribution attribute)
(dml.stats.heterogeneous_mixture.HeterogeneousMixtureEstimator attribute)
(dml.stats.hidden_markov.HiddenMarkovEstimator attribute)
(dml.stats.hidden_markov.HiddenMarkovModelDistribution attribute)
(dml.stats.hmixture.HierarchicalMixtureDistribution attribute)
(dml.stats.hmixture.HierarchicalMixtureEstimator attribute)
(dml.stats.ignored.IgnoredDistribution attribute)
(dml.stats.ignored.IgnoredEstimator attribute)
(dml.stats.int_spike.SpikeAndSlabDistribution attribute)
(dml.stats.int_spike.SpikeAndSlabEstimator attribute)
(dml.stats.intmultinomial.IntegerMultinomialDistribution attribute)
(dml.stats.intmultinomial.IntegerMultinomialEstimator attribute)
(dml.stats.intrange.IntegerCategoricalDistribution attribute)
(dml.stats.intrange.IntegerCategoricalEstimator attribute)
(dml.stats.intsetdist.IntegerBernoulliSetDistribution attribute)
(dml.stats.intsetdist.IntegerBernoulliSetEstimator attribute)
(dml.stats.jmixture.JointMixtureDistribution attribute)
(dml.stats.jmixture.JointMixtureEstimator attribute)
(dml.stats.log_gaussian.LogGaussianDistribution attribute)
(dml.stats.log_gaussian.LogGaussianEstimator attribute)
(dml.stats.markovchain.MarkovChainDistribution attribute)
(dml.stats.markovchain.MarkovChainEstimator attribute)
(dml.stats.mixture.MixtureDistribution attribute)
(dml.stats.mixture.MixtureEstimator attribute)
(dml.stats.mvn.MultivariateGaussianDistribution attribute)
(dml.stats.mvn.MultivariateGaussianEstimator attribute)
(dml.stats.optional.OptionalDistribution attribute)
(dml.stats.optional.OptionalEstimator attribute)
(dml.stats.poisson.PoissonDistribution attribute)
(dml.stats.poisson.PoissonEstimator attribute)
(dml.stats.sequence.SequenceDistribution attribute)
(dml.stats.sequence.SequenceEstimator attribute)
(dml.stats.setdist.BernoulliSetDistribution attribute)
(dml.stats.setdist.BernoulliSetEstimator attribute)
new_seed() (dml.stats.pdist.DistributionSampler method)
nlog_sum (dml.stats.setdist.BernoulliSetDistribution attribute)
no_default (dml.stats.categorical.CategoricalDistribution attribute)
non_k (dml.stats.int_spike.SpikeAndSlabSampler attribute)
null_len_dist (dml.stats.sequence.SequenceDistribution attribute)
null_sampler (dml.stats.ignored.IgnoredSampler attribute)
num_components (dml.stats.heterogeneous_mixture.HeterogeneousMixtureDistribution attribute)
(dml.stats.hmixture.HierarchicalMixtureEstimator attribute)
(dml.stats.mixture.MixtureDistribution attribute)
num_components1 (dml.stats.jmixture.JointMixtureDistribution attribute)
num_components2 (dml.stats.jmixture.JointMixtureDistribution attribute)
num_keys (dml.stats.markovchain.MarkovChainDistribution attribute)
num_levels (dml.stats.categorical.CategoricalSampler attribute)
num_mixtures (dml.stats.hmixture.HierarchicalMixtureDistribution attribute)
(dml.stats.hmixture.HierarchicalMixtureEstimator attribute)
num_required (dml.stats.setdist.BernoulliSetDistribution attribute)
num_states (dml.stats.hidden_markov.HiddenMarkovSampler attribute)
num_topics (dml.stats.hmixture.HierarchicalMixtureDistribution attribute)
num_vals (dml.stats.int_spike.SpikeAndSlabDistribution attribute)
(dml.stats.intmultinomial.IntegerMultinomialDistribution attribute)
(dml.stats.intrange.IntegerCategoricalDistribution attribute)
(dml.stats.intsetdist.IntegerBernoulliSetEstimator attribute)
O
obs_samplers (dml.stats.hidden_markov.HiddenMarkovSampler attribute)
OptionalDistribution (class in dml.stats.optional)
OptionalEstimator (class in dml.stats.optional)
OptionalSampler (class in dml.stats.optional)
P
p (dml.stats.binomial.BinomialDistribution attribute)
(dml.stats.geometric.GeometricDistribution attribute)
(dml.stats.int_spike.SpikeAndSlabDistribution attribute)
(dml.stats.optional.OptionalDistribution attribute)
p_vec (dml.stats.intmultinomial.IntegerMultinomialDistribution attribute)
(dml.stats.intrange.IntegerCategoricalDistribution attribute)
ParameterEstimator (class in dml.stats.pdist)
pmap (dml.stats.categorical.CategoricalDistribution attribute)
(dml.stats.setdist.BernoulliSetDistribution attribute)
PoissonDistribution (class in dml.stats.poisson)
PoissonEstimator (class in dml.stats.poisson)
PoissonSampler (class in dml.stats.poisson)
posterior() (dml.stats.heterogeneous_mixture.HeterogeneousMixtureDistribution method)
(dml.stats.hmixture.HierarchicalMixtureDistribution method)
(dml.stats.mixture.MixtureDistribution method)
prior_covar (dml.stats.dmvn.DiagonalGaussianEstimator attribute)
(dml.stats.mvn.MultivariateGaussianEstimator attribute)
prior_mu (dml.stats.dmvn.DiagonalGaussianEstimator attribute)
(dml.stats.mvn.MultivariateGaussianEstimator attribute)
ProbabilityDistribution (class in dml.stats.pdist)
probs (dml.stats.categorical.CategoricalSampler attribute)
pseudo_count (dml.stats.binomial.BinomialEstimator attribute)
(dml.stats.categorical.CategoricalEstimator attribute)
(dml.stats.catmultinomial.MultinomialEstimator attribute)
(dml.stats.dirichlet.DirichletEstimator attribute)
(dml.stats.dmvn.DiagonalGaussianEstimator attribute)
(dml.stats.exponential.ExponentialEstimator attribute)
(dml.stats.gamma.GammaEstimator attribute)
(dml.stats.gaussian.GaussianEstimator attribute)
(dml.stats.geometric.GeometricEstimator attribute)
(dml.stats.heterogeneous_mixture.HeterogeneousMixtureEstimator attribute)
(dml.stats.hidden_markov.HiddenMarkovEstimator attribute)
(dml.stats.hmixture.HierarchicalMixtureEstimator attribute)
(dml.stats.ignored.IgnoredEstimator attribute)
(dml.stats.int_spike.SpikeAndSlabEstimator attribute)
(dml.stats.intmultinomial.IntegerMultinomialEstimator attribute)
(dml.stats.intrange.IntegerCategoricalEstimator attribute)
(dml.stats.intsetdist.IntegerBernoulliSetEstimator attribute)
(dml.stats.jmixture.JointMixtureEstimator attribute)
(dml.stats.log_gaussian.LogGaussianEstimator attribute)
(dml.stats.markovchain.MarkovChainEstimator attribute)
(dml.stats.mixture.MixtureEstimator attribute)
(dml.stats.mvn.MultivariateGaussianEstimator attribute)
(dml.stats.optional.OptionalEstimator attribute)
(dml.stats.poisson.PoissonEstimator attribute)
(dml.stats.setdist.BernoulliSetEstimator attribute)
R
required (dml.stats.setdist.BernoulliSetDistribution attribute)
rng (dml.stats.binomial.BinomialSampler attribute)
(dml.stats.categorical.CategoricalSampler attribute)
(dml.stats.catmultinomial.MultinomialSampler attribute)
(dml.stats.composite.CompositeSampler attribute)
(dml.stats.dirichlet.DirichletSampler attribute)
(dml.stats.dmvn.DiagonalGaussianSampler attribute)
(dml.stats.exponential.ExponentialSampler attribute)
(dml.stats.gamma.GammaSampler attribute)
(dml.stats.gaussian.GaussianSampler attribute)
(dml.stats.geometric.GeometricSampler attribute)
(dml.stats.heterogeneous_mixture.HeterogeneousMixtureSampler attribute)
(dml.stats.hidden_markov.HiddenMarkovSampler attribute)
(dml.stats.hmixture.HierarchicalMixtureSampler attribute)
(dml.stats.int_spike.SpikeAndSlabSampler attribute)
(dml.stats.intmultinomial.IntegerMultinomialSampler attribute)
(dml.stats.intrange.IntegerCategoricalSampler attribute)
(dml.stats.intsetdist.IntegerBernoulliSetSampler attribute)
(dml.stats.jmixture.JointMixtureSampler attribute)
(dml.stats.log_gaussian.LogGaussianSampler attribute)
(dml.stats.markovchain.MarkovChainSampler attribute)
(dml.stats.mixture.MixtureSampler attribute)
(dml.stats.mvn.MultivariateGaussianSampler attribute)
(dml.stats.optional.OptionalSampler attribute)
(dml.stats.pdist.DistributionSampler attribute)
(dml.stats.poisson.PoissonSampler attribute)
(dml.stats.sequence.SequenceSampler attribute)
S
sample() (dml.stats.binomial.BinomialSampler method)
(dml.stats.categorical.CategoricalSampler method)
(dml.stats.catmultinomial.MultinomialSampler method)
(dml.stats.composite.CompositeSampler method)
(dml.stats.conditional.ConditionalDistributionSampler method)
(dml.stats.dirichlet.DirichletSampler method)
(dml.stats.dmvn.DiagonalGaussianSampler method)
(dml.stats.exponential.ExponentialSampler method)
(dml.stats.gamma.GammaSampler method)
(dml.stats.gaussian.GaussianSampler method)
(dml.stats.geometric.GeometricSampler method)
(dml.stats.heterogeneous_mixture.HeterogeneousMixtureSampler method)
(dml.stats.hidden_markov.HiddenMarkovSampler method)
(dml.stats.hmixture.HierarchicalMixtureSampler method)
(dml.stats.ignored.IgnoredSampler method)
(dml.stats.int_spike.SpikeAndSlabSampler method)
(dml.stats.intmultinomial.IntegerMultinomialSampler method)
(dml.stats.intrange.IntegerCategoricalSampler method)
(dml.stats.intsetdist.IntegerBernoulliSetSampler method)
(dml.stats.jmixture.JointMixtureSampler method)
(dml.stats.log_gaussian.LogGaussianSampler method)
(dml.stats.markovchain.MarkovChainSampler method)
(dml.stats.mixture.MixtureSampler method)
(dml.stats.mvn.MultivariateGaussianSampler method)
(dml.stats.optional.OptionalSampler method)
(dml.stats.pdist.DistributionSampler method)
(dml.stats.poisson.PoissonSampler method)
(dml.stats.sequence.SequenceSampler method)
(dml.stats.setdist.BernoulliSetSampler method)
sample_given() (dml.stats.conditional.ConditionalDistributionSampler method)
(dml.stats.pdist.ConditionalSampler method)
sample_seq() (dml.stats.hidden_markov.HiddenMarkovSampler method)
(dml.stats.markovchain.MarkovChainSampler method)
sample_terminal() (dml.stats.hidden_markov.HiddenMarkovSampler method)
sampler (dml.stats.hmixture.HierarchicalMixtureSampler attribute)
(dml.stats.optional.OptionalSampler attribute)
sampler() (dml.stats.binomial.BinomialDistribution method)
(dml.stats.categorical.CategoricalDistribution method)
(dml.stats.catmultinomial.MultinomialDistribution method)
(dml.stats.composite.CompositeDistribution method)
(dml.stats.conditional.ConditionalDistribution method)
(dml.stats.dirichlet.DirichletDistribution method)
(dml.stats.dmvn.DiagonalGaussianDistribution method)
(dml.stats.exponential.ExponentialDistribution method)
(dml.stats.gamma.GammaDistribution method)
(dml.stats.gaussian.GaussianDistribution method)
(dml.stats.geometric.GeometricDistribution method)
(dml.stats.heterogeneous_mixture.HeterogeneousMixtureDistribution method)
(dml.stats.hidden_markov.HiddenMarkovModelDistribution method)
(dml.stats.hmixture.HierarchicalMixtureDistribution method)
(dml.stats.ignored.IgnoredDistribution method)
(dml.stats.int_spike.SpikeAndSlabDistribution method)
(dml.stats.intmultinomial.IntegerMultinomialDistribution method)
(dml.stats.intrange.IntegerCategoricalDistribution method)
(dml.stats.intsetdist.IntegerBernoulliSetDistribution method)
(dml.stats.jmixture.JointMixtureDistribution method)
(dml.stats.log_gaussian.LogGaussianDistribution method)
(dml.stats.markovchain.MarkovChainDistribution method)
(dml.stats.mixture.MixtureDistribution method)
(dml.stats.mvn.MultivariateGaussianDistribution method)
(dml.stats.optional.OptionalDistribution method)
(dml.stats.pdist.ProbabilityDistribution method)
(dml.stats.poisson.PoissonDistribution method)
(dml.stats.sequence.SequenceDistribution method)
(dml.stats.setdist.BernoulliSetDistribution method)
samplers (dml.stats.conditional.ConditionalDistributionSampler attribute)
seed (dml.stats.gamma.GammaSampler attribute)
(dml.stats.setdist.BernoulliSetSampler attribute)
seq_component_log_density() (dml.stats.heterogeneous_mixture.HeterogeneousMixtureDistribution method)
(dml.stats.hmixture.HierarchicalMixtureDistribution method)
(dml.stats.mixture.MixtureDistribution method)
seq_encode() (dml.stats.pdist.DataSequenceEncoder method)
seq_initialize() (dml.stats.pdist.SequenceEncodableStatisticAccumulator method)
seq_ld_lambda() (dml.stats.gaussian.GaussianDistribution method)
seq_log_density() (dml.stats.binomial.BinomialDistribution method)
(dml.stats.categorical.CategoricalDistribution method)
(dml.stats.catmultinomial.MultinomialDistribution method)
(dml.stats.composite.CompositeDistribution method)
(dml.stats.conditional.ConditionalDistribution method)
(dml.stats.dirichlet.DirichletDistribution method)
(dml.stats.dmvn.DiagonalGaussianDistribution method)
(dml.stats.exponential.ExponentialDistribution method)
(dml.stats.gamma.GammaDistribution method)
(dml.stats.gaussian.GaussianDistribution method)
(dml.stats.geometric.GeometricDistribution method)
(dml.stats.heterogeneous_mixture.HeterogeneousMixtureDistribution method)
(dml.stats.hidden_markov.HiddenMarkovModelDistribution method)
(dml.stats.hmixture.HierarchicalMixtureDistribution method)
(dml.stats.ignored.IgnoredDistribution method)
(dml.stats.int_spike.SpikeAndSlabDistribution method)
(dml.stats.intmultinomial.IntegerMultinomialDistribution method)
(dml.stats.intrange.IntegerCategoricalDistribution method)
(dml.stats.intsetdist.IntegerBernoulliSetDistribution method)
(dml.stats.jmixture.JointMixtureDistribution method)
(dml.stats.log_gaussian.LogGaussianDistribution method)
(dml.stats.markovchain.MarkovChainDistribution method)
(dml.stats.mixture.MixtureDistribution method)
(dml.stats.mvn.MultivariateGaussianDistribution method)
(dml.stats.optional.OptionalDistribution method)
(dml.stats.pdist.SequenceEncodableProbabilityDistribution method)
(dml.stats.poisson.PoissonDistribution method)
(dml.stats.sequence.SequenceDistribution method)
(dml.stats.setdist.BernoulliSetDistribution method)
seq_posterior() (dml.stats.heterogeneous_mixture.HeterogeneousMixtureDistribution method)
(dml.stats.hidden_markov.HiddenMarkovModelDistribution method)
(dml.stats.hmixture.HierarchicalMixtureDistribution method)
(dml.stats.mixture.MixtureDistribution method)
seq_update() (dml.stats.pdist.SequenceEncodableStatisticAccumulator method)
seq_viterbi() (dml.stats.hidden_markov.HiddenMarkovModelDistribution method)
SequenceDistribution (class in dml.stats.sequence)
SequenceEncodableProbabilityDistribution (class in dml.stats.pdist)
SequenceEncodableStatisticAccumulator (class in dml.stats.pdist)
SequenceEstimator (class in dml.stats.sequence)
SequenceSampler (class in dml.stats.sequence)
sigma2 (dml.stats.gaussian.GaussianDistribution attribute)
(dml.stats.log_gaussian.LogGaussianDistribution attribute)
single_sample() (dml.stats.conditional.ConditionalDistributionSampler method)
SpikeAndSlabDistribution (class in dml.stats.int_spike)
SpikeAndSlabEstimator (class in dml.stats.int_spike)
SpikeAndSlabSampler (class in dml.stats.int_spike)
state_sampler (dml.stats.hidden_markov.HiddenMarkovSampler attribute)
StatisticAccumulator (class in dml.stats.pdist)
suff_stat (dml.stats.binomial.BinomialEstimator attribute)
(dml.stats.categorical.CategoricalEstimator attribute)
(dml.stats.dirichlet.DirichletEstimator attribute)
(dml.stats.exponential.ExponentialEstimator attribute)
(dml.stats.gamma.GammaEstimator attribute)
(dml.stats.gaussian.GaussianEstimator attribute)
(dml.stats.geometric.GeometricEstimator attribute)
(dml.stats.heterogeneous_mixture.HeterogeneousMixtureEstimator attribute)
(dml.stats.hmixture.HierarchicalMixtureEstimator attribute)
(dml.stats.ignored.IgnoredEstimator attribute)
(dml.stats.int_spike.SpikeAndSlabEstimator attribute)
(dml.stats.intmultinomial.IntegerMultinomialEstimator attribute)
(dml.stats.intrange.IntegerCategoricalEstimator attribute)
(dml.stats.intsetdist.IntegerBernoulliSetEstimator attribute)
(dml.stats.jmixture.JointMixtureEstimator attribute)
(dml.stats.log_gaussian.LogGaussianEstimator attribute)
(dml.stats.mixture.MixtureEstimator attribute)
(dml.stats.poisson.PoissonEstimator attribute)
(dml.stats.setdist.BernoulliSetEstimator attribute)
T
taus (dml.stats.hidden_markov.HiddenMarkovModelDistribution attribute)
(dml.stats.hmixture.HierarchicalMixtureDistribution attribute)
taus12 (dml.stats.jmixture.JointMixtureDistribution attribute)
taus21 (dml.stats.jmixture.JointMixtureDistribution attribute)
terminal_set (dml.stats.hidden_markov.HiddenMarkovSampler attribute)
terminal_values (dml.stats.hidden_markov.HiddenMarkovModelDistribution attribute)
theta (dml.stats.gamma.GammaDistribution attribute)
threshold (dml.stats.gamma.GammaEstimator attribute)
to_mixture() (dml.stats.hmixture.HierarchicalMixtureDistribution method)
topics (dml.stats.hidden_markov.HiddenMarkovModelDistribution attribute)
(dml.stats.hmixture.HierarchicalMixtureDistribution attribute)
trans_log_pvec (dml.stats.markovchain.MarkovChainDistribution attribute)
trans_prob (dml.stats.markovchain.MarkovChainSampler attribute)
transition_map (dml.stats.markovchain.MarkovChainDistribution attribute)
transitions (dml.stats.hidden_markov.HiddenMarkovModelDistribution attribute)
U
update() (dml.stats.pdist.StatisticAccumulator method)
use_lstsq (dml.stats.mvn.MultivariateGaussianDistribution.self attribute)
use_mpe (dml.stats.dirichlet.DirichletEstimator attribute)
use_numba (dml.stats.hidden_markov.HiddenMarkovEstimator attribute)
(dml.stats.hidden_markov.HiddenMarkovModelDistribution attribute)
V
value() (dml.stats.pdist.StatisticAccumulator method)
viterbi() (dml.stats.hidden_markov.HiddenMarkovModelDistribution method)
W
w (dml.stats.heterogeneous_mixture.HeterogeneousMixtureDistribution attribute)
(dml.stats.hidden_markov.HiddenMarkovModelDistribution attribute)
(dml.stats.hmixture.HierarchicalMixtureDistribution attribute)
(dml.stats.mixture.MixtureDistribution attribute)
w1 (dml.stats.jmixture.JointMixtureDistribution attribute)
w2 (dml.stats.jmixture.JointMixtureDistribution attribute)
Z
zw (dml.stats.heterogeneous_mixture.HeterogeneousMixtureDistribution attribute)
(dml.stats.mixture.MixtureDistribution attribute)