Uses of Class com.bayesserver.Table (bayesserver 11.0 API)

Packages that use Table
Package Description

com.bayesserver

com.bayesserver.inference

com.bayesserver.statistics

Uses of Table in com.bayesserver

Methods in com.bayesserver that return Table
Modifier and Type	Method	Description
`Table`	CLGaussian.`getTable()`	Gets the `Table` which specifies the distribution over any discrete variables.
`Table`	Distribution.`getTable()`	Gets the `Table` which specifies the distribution over any discrete variables.
`Table`	Table.`getTable()`
`Table`	TableAccessor.`getTable()`	Gets the underlying `Table`.
`Table`	TableIterator.`getTable()`	Gets the underlying `Table`.
`Table`	Table.`instantiate(Integer[] values)`	Creates a table with a subset of variables by setting hard evidence on one or more variables.
`Table`	CLGaussian.`instantiateHead(double[] headValues, double[] logPdf)`	Instantiates all continuous head variable contexts.

Methods in com.bayesserver with parameters of type Table
Modifier and Type	Method	Description
`void`	Table.`add(Table source)`	Adds the values from another table into this instance.
`void`	Table.`copyTo(Table destination)`	Copies all values from this instance to the destination `Table`.
`void`	Table.`divideInPlace(Table subset)`	Divides this instance in place by the [subset].
`void`	Table.`marginalize(Table superset)`	Marginalizes (sums) the [superset] into this instance.
`void`	Table.`marginalize(Table superset, boolean initialize)`	Marginalizes (sums) the [superset] into this instance.
`void`	Table.`marginalize(Table superset, boolean initialize, PropagationMethod propagation)`	Marginalizes (sums) the [superset] into this instance.
`void`	Table.`marginalize(Table superset, PropagationMethod propagation)`	Marginalizes (sums) the [superset] into this instance.
`void`	Table.`marginalizeLowMemory(Table[] tables)`	Marginalizes (sums) the combined [tables], without requiring the memory for the combined distribution.
`void`	Table.`marginalizeLowMemory(Table[] tables, Table.MarginalizeLowMemoryOptions options)`	Marginalizes (sums) the combined [tables], without requiring the memory for the combined distribution.
`void`	CLGaussian.`marginalizeTo(Table table)`	Marginalizes (sums/integrates) out all continuous variables from this instance into the specified table.
`void`	CLGaussian.`marginalizeTo(Table table, PropagationMethod propagation)`	Marginalizes (sums/integrates) out all continuous variables from this instance into the specified table.
`void`	Table.`multiplyInPlace(Table subset)`	Multiplies the [subset] into this instance.
`void`	Table.`multiplyInPlace(Table subset, boolean initialize)`	Multiplies the [subset] into this instance.

Constructors in com.bayesserver with parameters of type Table
Constructor	Description
`Table(Table table)`	Initializes a new instance of the `Table` class, copying the [table] passed in.
`Table(Table table, boolean copyValues)`	Initializes a new instance of the `Table` class, with the same structure as an existing [table], copying the values if requested.
`Table(Table table, boolean copyValues, Integer timeShift)`	Initializes a new instance of the `Table` class, with the same structure as an existing [table], copying the values if requested, and optionally shifting any times.
`Table(Table table, Integer timeShift)`	Initializes a new instance of the `Table` class, copying the [table] passed in, however adjusting any times by the [timeShift].
`TableAccessor(Table table, Node[] order)`	Initializes a new instance of the `TableAccessor` class, allowing random access to [table] with a specified [order] for the node variables.
`TableAccessor(Table table, Node[] order, Integer[] times)`	Initializes a new instance of the `TableAccessor` class, allowing random access to [table] with a specified [order] for the node variables.
`TableAccessor(Table table, Variable[] order)`	Initializes a new instance of the `TableAccessor` class, allowing random access to [table] with a specified [order] for the variables.
`TableAccessor(Table table, Variable[] order, Integer[] times)`	Initializes a new instance of the `TableAccessor` class, allowing random access to [table] with a specified [order] for the variables at specified times.
`TableAccessor(Table table, VariableContextCollection order)`	Initializes a new instance of the `TableAccessor` class, allowing random access to [table] with a specified [order] for the variables.
`TableAccessor(Table table, List<Variable> order, List<Integer> times)`	Initializes a new instance of the `TableAccessor` class, allowing random access to [table] with a specified [order] for the variables at specified times.
`TableAccessor(Table table, List<VariableContext> order)`	Initializes a new instance of the `TableAccessor` class, allowing random access to [table] with a specified [order] for the variables.
`TableIterator(Table table, Node[] order)`	Initializes a new instance of the `TableIterator` class, allowing sequential access to [table] with a specified [order] for the node variables.
`TableIterator(Table table, Node[] order, Integer[] times)`	Initializes a new instance of the `TableIterator` class, allowing sequential access to [table] with a specified [order] for the node variables.
`TableIterator(Table table, Variable[] order)`	Initializes a new instance of the `TableIterator` class, allowing sequential access to [table] with a specified [order] for the variables.
`TableIterator(Table table, Variable[] order, Integer[] times)`	Initializes a new instance of the `TableIterator` class, allowing sequential access to [table] with a specified [order] for the variables at specified times.
`TableIterator(Table table, VariableContextCollection order)`	Initializes a new instance of the `TableIterator` class, allowing sequential access to [table] with a specified [order] for the variables.
`TableIterator(Table table, List<Variable> order, List<Integer> times)`	Initializes a new instance of the `TableIterator` class, allowing sequential access to [table] with a specified [order] for the variables at specified times.
`TableIterator(Table table, List<VariableContext> order)`	Initializes a new instance of the `TableIterator` class, allowing sequential access to [table] with a specified [order] for the node variables.

Uses of Table in com.bayesserver.inference

Methods in com.bayesserver.inference that return Table
Modifier and Type	Method	Description
`static Table`	SoftEvidence.`divideByPrior(Table target, Table prior)`	Divides target soft evidence by an existing prior distribution or query.

Methods in com.bayesserver.inference with parameters of type Table
Modifier and Type	Method	Description
`static Table`	SoftEvidence.`divideByPrior(Table target, Table prior)`	Divides target soft evidence by an existing prior distribution or query.
`void`	DefaultEvidence.`getStates(Table table)`	Fills out a table containing the soft evidence for a particular variable.
`void`	Evidence.`getStates(Table table)`	Fills out a table containing the soft evidence for a particular variable.

Uses of Table in com.bayesserver.statistics

Methods in com.bayesserver.statistics with parameters of type Table
Modifier and Type	Method	Description
`static double`	Entropy.`calculate(Table joint, LogarithmBase logarithmBase)`	Measures the uncertainty of a distribution.
`static double`	Entropy.`calculate(Table joint, List<VariableContext> conditionOn, LogarithmBase logarithmBase)`	Measures the uncertainty of a distribution conditional on one or more variables.
`static IntervalStatistics`	IntervalStatistics.`calculate(Table table)`	Calculates statistics using table probabilities as weights for each interval.