scalismo.sampling

Attributes

Graph
Supertypes: trait Serializable
trait Product
trait Equals
trait MHDistributionEvaluator[A]
trait DistributionEvaluator[MHSample[A]]
class Object
trait Matchable
class Any

a probability or density

Attributes

Graph
Supertypes: class Object
trait Matchable
class Any
Known subtypes: trait MHDistributionEvaluator[A]
class CachedMHEvaluator[A]
class MHProductEvaluator[A]
class GaussianEvaluator
class ProductEvaluator[A]

gradient evaluator, used together with DistributionEvaluator

Attributes

Graph
Supertypes: class Object
trait Matchable
class Any

Attributes

Graph
Supertypes: trait DistributionEvaluator[MHSample[A]]
class Object
trait Matchable
class Any
Known subtypes: class CachedMHEvaluator[A]
class MHProductEvaluator[A]

Proposal Generator for Metropolis Hastings Sampling.

Attributes

Graph
Supertypes: trait TransitionProbability[MHSample[A]]
trait TransitionRatio[MHSample[A]]
trait ProposalGenerator[MHSample[A]]
class Object
trait Matchable
class Any
Known subtypes: class GaussianRandomWalkProposal
class MHCombinedProposal[A]
class MHIdentityProposal[A]
class MHMixtureProposal[A]
class MHProductProposal2[A, B]
class MHProductProposal3[A, B, C]
class MHProductProposal4[A, B, C, D]
Self type: MHProposalGenerator[A]

A sample representation used in the metropolis hastings algorithm. It holds the sampled parameters, as well as a tag (generatedBy), which stores which proposalGenerator has generated that sample

Attributes

Graph
Supertypes: trait Serializable
trait Product
trait Equals
class Object
trait Matchable
class Any

basic Markov Chain trait: provides a next sample

Attributes

Graph
Supertypes: class Object
trait Matchable
class Any
Known subtypes: class ForwardChain[A]
class Metropolis[A]
class MetropolisHastings[A]
class MetropolisHastingsWithPrefetching[A]

Bijection that maps values of type A to B and vice versa. This is used to convert between different parameter types in sampling.

Attributes

Companion:: object
Graph
Supertypes: trait A => B
class Object
trait Matchable
class Any
Known subtypes: object PoseAndShapeParametersConversion.type
object rotationParametersConversion.type
object shapeParameterConversion.type
object translationParameterConversion.type

Attributes

Companion:: trait
Graph
Supertypes: class Object
trait Matchable
class Any
Self type: ParameterConversion.type

proposal distribution sampler for Metropolis-Hastings MCMC

Attributes

Graph
Supertypes: class Object
trait Matchable
class Any
Known subtypes: class MHProposalGenerator[A]
class GaussianRandomWalkProposal
class MHCombinedProposal[A]
class MHIdentityProposal[A]
class MHMixtureProposal[A]
class MHProductProposal2[A, B]
class MHProductProposal3[A, B, C]
class MHProductProposal4[A, B, C, D]
class CombinedProposal[A]
class CorrectedMetropolisFilterProposal[A]
class MetropolisFilterProposal[A]
class MixtureProposal[A]
class PartialProposalAdapter[A, Part]

This class is used in the context of an MCMC chain, where the we have a class Sample or generic type A, with arbitrary structure. The lens focuses attention to a part of the sample with type B, which can then be read and updated using the provided getter and setter methods. To update different parts of a sample, different lenses must be implemented

Attributes

Graph
Supertypes: class Object
trait Matchable
class Any

symmetric transition: equal forward and backward transition probability

Attributes

Graph
Supertypes: trait TransitionRatio[A]
class Object
trait Matchable
class Any

expresses transition probability between two states

Attributes

Graph
Supertypes: trait TransitionRatio[A]
class Object
trait Matchable
class Any
Known subtypes: class MHProposalGenerator[A]
class GaussianRandomWalkProposal
class MHCombinedProposal[A]
class MHIdentityProposal[A]
class MHMixtureProposal[A]
class MHProductProposal2[A, B]
class MHProductProposal3[A, B, C]
class MHProductProposal4[A, B, C, D]
class CombinedProposal[A]
class CorrectedMetropolisFilterProposal[A]
class MetropolisFilterProposal[A]
class PartialProposalAdapter[A, Part]

ratio of forward and backwards proposal probability/density

Attributes

Graph
Supertypes: class Object
trait Matchable
class Any
Known subtypes: trait SymmetricTransitionRatio[A]
trait TransitionProbability[A]
class MHProposalGenerator[A]
class GaussianRandomWalkProposal
class MHCombinedProposal[A]
class MHIdentityProposal[A]
class MHMixtureProposal[A]
class MHProductProposal2[A, B]
class MHProductProposal3[A, B, C]
class MHProductProposal4[A, B, C, D]
class CombinedProposal[A]
class CorrectedMetropolisFilterProposal[A]
class MetropolisFilterProposal[A]
class PartialProposalAdapter[A, Part]

scalismo.sampling

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