Uses of Class
com.bayesserver.StateContext

Packages that use StateContext

Package	Description
com.bayesserver
com.bayesserver.analysis

Uses of StateContext in com.bayesserver

Methods in com.bayesserver with parameters of type StateContext

Modifier and Type	Method	Description
double	Table.get(StateContext... states)	Gets the table value corresponding to the given states and associated times.
double	CLGaussian.getCovariance(VariableContext continuousHeadA, VariableContext continuousHeadB, StateContext... discrete)	Gets the covariance of the Gaussian distribution between [continuousHeadA] and [continuousHeadB] for a particular discrete combination (mixture).
double	CLGaussian.getCovariance(Variable continuousHeadA, Variable continuousHeadB, StateContext... discrete)	Gets the covariance of the Gaussian distribution between [continuousHeadA] and [continuousHeadB] for a particular discrete combination (mixture).
double	CLGaussian.getCovariance(Variable continuousHeadA, Integer timeA, Variable continuousHeadB, Integer timeB, StateContext... discrete)	Gets the covariance of the Gaussian distribution between [continuousHeadA] and [continuousHeadB] for a particular discrete combination (mixture).
double	CLGaussian.getMean(VariableContext continuousHead, StateContext... discrete)	Gets the mean value of the Gaussian distribution for the specified [continuousHead] variable for the [discrete] combination.
double	CLGaussian.getMean(Variable continuousHead, StateContext... discrete)	Gets the mean value of the Gaussian distribution for the specified [continuousHead] variable for the [discrete] combination.
double	CLGaussian.getMean(Variable continuousHead, Integer time, StateContext... discrete)	Gets the mean value of the Gaussian distribution for the specified [continuousHead] variable for the [discrete] combination.
int	Table.getSortedIndex(StateContext... stateContexts)	Gets the index of the table element that corresponds to a particular combination of states and their times.
double	CLGaussian.getVariance(VariableContext continuousHead, StateContext... discrete)	Gets the variance of the Gaussian distribution for the specified [continuousHead] variable for a particular discrete combination (mixture).
double	CLGaussian.getVariance(Variable continuousHead, StateContext... discrete)	Gets the variance of the Gaussian distribution for the specified [continuousHead] variable for a particular discrete combination (mixture).
double	CLGaussian.getVariance(Variable continuousHead, Integer time, StateContext... discrete)	Gets the variance of the Gaussian distribution for the specified [continuousHead] variable for a particular discrete combination (mixture).
double	CLGaussian.getWeight(VariableContext continuousHead, VariableContext continuousTail, StateContext... discrete)	Gets the weight/regression coefficient of the Gaussian distribution between the [continuousTail] and [continuousHead] for a particular discrete combination (mixture).
double	CLGaussian.getWeight(Variable continuousHead, Variable continuousTail, StateContext... discrete)	Gets the weight/regression coefficient of the Gaussian distribution between the [continuousTail] and [continuousHead] for a particular discrete combination (mixture).
double	CLGaussian.getWeight(Variable continuousHead, Integer timeHead, Variable continuousTail, Integer timeTail, StateContext... discrete)	Gets the weight/regression coefficient of the Gaussian distribution between the [continuousTail] and [continuousHead] for a particular discrete combination (mixture).
void	Table.set(double value, StateContext... states)	Sets the table value corresponding to the given states and associated times.
void	CLGaussian.setCovariance(VariableContext continuousHeadA, VariableContext continuousHeadB, double value, StateContext... discrete)	Sets the covariance of the Gaussian distribution between [continuousHeadA] and [continuousHeadB] for a particular discrete combination (mixture).
void	CLGaussian.setCovariance(Variable continuousHeadA, Variable continuousHeadB, double value, StateContext... discrete)	Sets the covariance of the Gaussian distribution between [continuousHeadA] and [continuousHeadB] for a particular discrete combination (mixture).
void	CLGaussian.setCovariance(Variable continuousHeadA, Integer timeA, Variable continuousHeadB, Integer timeB, double value, StateContext... discrete)	Sets the covariance of the Gaussian distribution between [continuousHeadA] and [continuousHeadB] for a particular discrete combination (mixture).
void	CLGaussian.setMean(VariableContext continuousHead, double value, StateContext... discrete)	Sets the mean value of the Gaussian distribution for the specified [continuousHead] variable for the [discrete] combination.
void	CLGaussian.setMean(Variable continuousHead, double value, StateContext... discrete)	Sets the mean value of the Gaussian distribution for the specified [continuousHead] variable for the [discrete] combination.
void	CLGaussian.setMean(Variable continuousHead, Integer time, double value, StateContext... discrete)	Sets the mean value of the Gaussian distribution for the specified [continuousHead] variable for the [discrete] combination.
void	CLGaussian.setVariance(VariableContext continuousHead, double value, StateContext... discrete)	Sets the variance of the Gaussian distribution for the specified [continuousHead] variable for a particular discrete combination (mixture).
void	CLGaussian.setVariance(Variable continuousHead, double value, StateContext... discrete)	Sets the variance of the Gaussian distribution for the specified [continuousHead] variable for a particular discrete combination (mixture).
void	CLGaussian.setVariance(Variable continuousHead, Integer time, double value, StateContext... discrete)	Sets the variance of the Gaussian distribution for the specified [continuousHead] variable for a particular discrete combination (mixture).
void	CLGaussian.setWeight(VariableContext continuousHead, VariableContext continuousTail, double value, StateContext... discrete)	Sets the weight/regression coefficient of the Gaussian distribution between the [continuousTail] and [continuousHead] for a particular discrete combination (mixture).
void	CLGaussian.setWeight(Variable continuousHead, Variable continuousTail, double value, StateContext... discrete)	Sets the weight/regression coefficient of the Gaussian distribution between the [continuousTail] and [continuousHead] for a particular discrete combination (mixture).
void	CLGaussian.setWeight(Variable continuousHead, Integer timeHead, Variable continuousTail, Integer timeTail, double value, StateContext... discrete)	Sets the weight/regression coefficient of the Gaussian distribution between the [continuousTail] and [continuousHead] for a particular discrete combination (mixture).

Uses of StateContext in com.bayesserver.analysis

Methods in com.bayesserver.analysis with parameters of type StateContext

Modifier and Type	Method	Description
static ImpactOutput	Impact.calculate(Network network, Distribution hypothesisQuery, StateContext[] hypothesisCombination, Evidence evidence, List<Variable> evidenceToAnalyse, ImpactOptions options)	Analyzes the impact of sets of evidence on a hypothesis query and discrete combination of that hypothesis query.
static ImpactHypothesisOutput	Impact.calculateStreamed(Network network, Distribution hypothesisQuery, StateContext[] hypothesisState, Evidence evidence, List<Variable> evidenceToAnalyse, ImpactAction outputItem, ImpactOptions options)	Analyzes the impact of sets of evidence on a hypothesis query and discrete combination of that hypothesis query.
static double[][]	Correlation.fromCovariance(CLGaussian gaussian, StateContext... stateContexts)