Dynamic Bayesian Network Action Set

Computes evolution of beliefs in hidden variables over time by using Dynamic Bayesian Networks

dynBnet Action

Dynamic Bayesian Network Action.

CASL Syntax
Summary: Input and Output Tables
Parameter Descriptions

CASL Syntax

dynamicBayesianNetwork.dynBnet <result=results> <status=rc> /

cliques={

data={

caslib="string"

computedOnDemand=TRUE | FALSE

computedVars={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

computedVarsProgram="string"

dataSourceOptions={key-1=any-list-or-data-type-1 <, key-2=any-list-or-data-type-2, ...>}

groupBy={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

groupByMode="NOSORT" | "REDISTRIBUTE"

importOptions={fileType="ANY" | "AUDIO" | "AUTO" | "BASESAS" | "CSV" | "DELIMITED" | "DOCUMENT" | "DTA" | "ESP" | "EXCEL" | "FMT" | "HDAT" | "IMAGE" | "JMP" | "LASR" | "PARQUET" | "SOUND" | "SPSS" | "VIDEO" | "XLS", fileType-specific-parameters}

name="table-name"

orderBy={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

singlePass=TRUE | FALSE

vars={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

where="where-expression"

whereTable={

casLib="string"

dataSourceOptions={adls_noreq-parameters | bigquery-parameters | cas_noreq-parameters | clouddex-parameters | db2-parameters | dnfs-parameters | esp-parameters | fedsvr-parameters | gcs_noreq-parameters | hadoop-parameters | hana-parameters | impala-parameters | informix-parameters | jdbc-parameters | mongodb-parameters | mysql-parameters | odbc-parameters | oracle-parameters | path-parameters | postgres-parameters | redshift-parameters | s3-parameters | sapiq-parameters | sforce-parameters | singlestore_standard-parameters | snowflake-parameters | spark-parameters | spde-parameters | sqlserver-parameters | ss_noreq-parameters | teradata-parameters | vertica-parameters | yellowbrick-parameters}

name="table-name"

vars={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

where="where-expression"

}

id="string",

stage="string",

toid="string",

type="string",

varname="string"

initialBeliefs={

data={

caslib="string"

computedOnDemand=TRUE | FALSE

computedVars={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

computedVarsProgram="string"

dataSourceOptions={key-1=any-list-or-data-type-1 <, key-2=any-list-or-data-type-2, ...>}

groupBy={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

groupByMode="NOSORT" | "REDISTRIBUTE"

name="table-name"

orderBy={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

singlePass=TRUE | FALSE

vars={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

where="where-expression"

whereTable={

casLib="string"

name="table-name"

vars={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

where="where-expression"

}

intervalvar="string",

mean="string",

nominalvar="string",

sdev="string",

varlevel="string"

inputState={

data={

caslib="string"

dataSourceOptions={key-1=any-list-or-data-type-1 <, key-2=any-list-or-data-type-2, ...>}

name="table-name"

whereTable={

casLib="string"

name="table-name"

vars={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

where="where-expression"

}

linearApproximationType="EXTENDED" | "UNSCENTED",

links={

child="string",

data={

caslib="string"

computedOnDemand=TRUE | FALSE

computedVars={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

computedVarsProgram="string"

dataSourceOptions={key-1=any-list-or-data-type-1 <, key-2=any-list-or-data-type-2, ...>}

groupBy={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

groupByMode="NOSORT" | "REDISTRIBUTE"

name="table-name"

orderBy={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

singlePass=TRUE | FALSE

vars={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

where="where-expression"

whereTable={

casLib="string"

name="table-name"

vars={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

where="where-expression"

}

parent="string",

stage="string"

odeApproximationType="ALL" | "GRADIENT" | "NONE",

output={

data={

caslib="string"

compress=TRUE | FALSE

indexVars={"variable-name-1" <, "variable-name-2", ...>}

label="string"

lifetime=64-bit-integer

maxMemSize=64-bit-integer

memoryFormat="DVR" | "INHERIT" | "STANDARD"

name="table-name"

promote=TRUE | FALSE

replace=TRUE | FALSE

replication=integer

tableRedistUpPolicy="DEFER" | "NOREDIST" | "REBALANCE"

threadBlockSize=64-bit-integer

timeStamp="string"

where={"string-1" <, "string-2", ...>}

}

outputCliques={

data={

caslib="string"

compress=TRUE | FALSE

indexVars={"variable-name-1" <, "variable-name-2", ...>}

label="string"

lifetime=64-bit-integer

maxMemSize=64-bit-integer

memoryFormat="DVR" | "INHERIT" | "STANDARD"

name="table-name"

promote=TRUE | FALSE

replace=TRUE | FALSE

replication=integer

tableRedistUpPolicy="DEFER" | "NOREDIST" | "REBALANCE"

threadBlockSize=64-bit-integer

timeStamp="string"

where={"string-1" <, "string-2", ...>}

}

outputDetails={

data={

caslib="string"

compress=TRUE | FALSE

indexVars={"variable-name-1" <, "variable-name-2", ...>}

label="string"

lifetime=64-bit-integer

maxMemSize=64-bit-integer

memoryFormat="DVR" | "INHERIT" | "STANDARD"

name="table-name"

promote=TRUE | FALSE

replace=TRUE | FALSE

replication=integer

tableRedistUpPolicy="DEFER" | "NOREDIST" | "REBALANCE"

threadBlockSize=64-bit-integer

timeStamp="string"

where={"string-1" <, "string-2", ...>}

}

outputState={

data={

caslib="string"

label="string"

lifetime=64-bit-integer

memoryFormat="DVR" | "INHERIT" | "STANDARD"

name="table-name"

promote=TRUE | FALSE

replace=TRUE | FALSE

tableRedistUpPolicy="DEFER" | "NOREDIST" | "REBALANCE"

}

syncThreshold=double,

table={

data={

caslib="string"

computedOnDemand=TRUE | FALSE

computedVars={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

computedVarsProgram="string"

dataSourceOptions={key-1=any-list-or-data-type-1 <, key-2=any-list-or-data-type-2, ...>}

groupBy={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

groupByMode="NOSORT" | "REDISTRIBUTE"

name="table-name"

orderBy={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

singlePass=TRUE | FALSE

vars={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

where="where-expression"

whereTable={

casLib="string"

name="table-name"

vars={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

where="where-expression"

}

variableLevels={

data={

caslib="string"

computedOnDemand=TRUE | FALSE

computedVars={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

computedVarsProgram="string"

dataSourceOptions={key-1=any-list-or-data-type-1 <, key-2=any-list-or-data-type-2, ...>}

groupBy={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

groupByMode="NOSORT" | "REDISTRIBUTE"

name="table-name"

orderBy={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

singlePass=TRUE | FALSE

vars={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

where="where-expression"

whereTable={

casLib="string"

name="table-name"

vars={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

where="where-expression"

}

levelorder="string",

varlevel="string",

varname="string"

variableOdes={

data={

caslib="string"

computedOnDemand=TRUE | FALSE

computedVars={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

computedVarsProgram="string"

dataSourceOptions={key-1=any-list-or-data-type-1 <, key-2=any-list-or-data-type-2, ...>}

groupBy={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

groupByMode="NOSORT" | "REDISTRIBUTE"

name="table-name"

orderBy={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

singlePass=TRUE | FALSE

vars={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

where="where-expression"

whereTable={

casLib="string"

name="table-name"

vars={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

where="where-expression"

}

system="string",

varname="string"

variableRoles={

data={

caslib="string"

computedOnDemand=TRUE | FALSE

computedVars={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

computedVarsProgram="string"

dataSourceOptions={key-1=any-list-or-data-type-1 <, key-2=any-list-or-data-type-2, ...>}

groupBy={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

groupByMode="NOSORT" | "REDISTRIBUTE"

name="table-name"

orderBy={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

singlePass=TRUE | FALSE

vars={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

where="where-expression"

whereTable={

casLib="string"

name="table-name"

vars={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

where="where-expression"

}

varname="string",

varorder="string",

varrole="string"

variableSyncParms={

data={

caslib="string"

computedOnDemand=TRUE | FALSE

computedVars={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

computedVarsProgram="string"

dataSourceOptions={key-1=any-list-or-data-type-1 <, key-2=any-list-or-data-type-2, ...>}

groupBy={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

groupByMode="NOSORT" | "REDISTRIBUTE"

name="table-name"

orderBy={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

singlePass=TRUE | FALSE

vars={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

where="where-expression"

whereTable={

casLib="string"

name="table-name"

vars={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

where="where-expression"

}

intervalvar="string",

mean="string",

nominalvar="string",

sdev="string",

varlevel="string"

}

;

Summary: Input and Output Tables

If a row includes a subparameter, you can specify the name, caslib, and so on in the subparameter. Otherwise, you can specify the name, caslib, and so on in the parameter.

Parameters for Reading Input Tables
Parameter	Subparameter	Description
cliques	data	specifies the table of the factors and the cliques that form the clique tree obtained by processing the Bayesian network of variables. A clique tree permits an exact two-pass belief propagation over the tree. If cliques are not supplied using this table, then the network is processed to form cliques, and output cliques are saved in this table for use in subsequent runs of the filter.
initialBeliefs	required parameterdata	specifies the table of incoming beliefs in hidden variables from the previous run of the filter.
inputState	data	specifies the table of input state.
links	required parameterdata	specifies the table of parent-child relationships among variables in a two-time-period network.
table	required parameterdata	specifies the input table that contains observations by time.
variableLevels	data	specifies the table of valid levels of nominal variables.
variableOdes	data	specifies the table of variables by systems of ordinary differential equations (ODEs). Each system has a unique group number.
variableRoles	required parameterdata	specifies the table of variables and their properties: TIMEID, CONTROL, HIDDEN, or OBSERVED.
variableSyncParms	data	specifies the table of parameters that are used in synchronizing beliefs of hidden interval variables for different values of hidden nominal variables.

Parameters for Creating Output Tables
Parameter	Subparameter	Description
output	data	specifies the table that contains the outgoing beliefs of hidden variables. Beliefs of interval variables differ by levels of nominal variables. This table provides the interval variable beliefs for the most probable levels of the nominal variables.
outputCliques	data	specifies the table that contains the cliques in the clique tree obtained by processing the Bayesian network.
outputDetails	data	specifies the table that contains the outgoing beliefs of hidden variables specific to the branches (values) of hidden nominal variables. Thus, this table provides beliefs of interval variables over less probable values of nominal variables as well.
outputState	data	specifies the table that saves the current state information.

Parameter Descriptions

cliques={_cliques}

specifies the table of the factors and the cliques that form the clique tree obtained by processing the Bayesian network of variables. A clique tree permits an exact two-pass belief propagation over the tree. If cliques are not supplied using this table, then the network is processed to form cliques, and output cliques are saved in this table for use in subsequent runs of the filter.

The _cliques value can be one or more of the following:

data={castable}

specifies the name of the cliques data table.

For more information about specifying the data parameter, see the common castable (Form 1) parameter (Appendix A: Common Parameters).

id="string"

specifies the name of the ID column in the cliques data table, where the ID corresponds to a clique ID or the ID of a factor in the clique. The model of the clique is obtained from the models of the factors that form a clique.

Default	"id"

stage="string"

specifies the name of the stage column in the cliques data table, where the value of the stage parameter is 1 for a variable in the current time period and 2 for a variable in the previous time period.

Default	"stage"

toid="string"

specifies the name of the column that contains the ID of the clique that receives the message.

Default	"toid"

type="string"

specifies the name of the type column in the cliques data table, where the type parameter determines whether the ID parameter value corresponds to a clique or a factor.

Default	"type"

varname="string"

specifies the name of the variable column in the cliques data table, which is specified when the ID parameter value corresponds to a belief factor for a variable.

Default	"varname"

initialBeliefs={_initbeliefs}

specifies the table of incoming beliefs in hidden variables from the previous run of the filter.

Alias	initBeliefs

The _initbeliefs value can be one or more of the following:

* data={castable}

specifies the name of the initial beliefs data table.

For more information about specifying the data parameter, see the common castable (Form 1) parameter (Appendix A: Common Parameters).

intervalvar="string"

specifies the name of the interval variable column in the initial beliefs data table.

Default	"intervalvar"

mean="string"

specifies the name of the mean column of the interval variable or the probability of the nominal variable in the initial beliefs data table.

Default	"mean"

nominalvar="string"

specifies the name of the nominal variable column in the initial beliefs data table. The belief in the interval variable varies by levels of the nominal variables.

Default	"nominalvar"

sdev="string"

specifies the name of the standard deviation column of the interval variable in the initial beliefs data table.

Default	"sdev"

varlevel="string"

specifies the name of the level column of the nominal variable in the initial beliefs data table.

Default	"varlevel"

inputState={_instate}

specifies the table of input state.

data={castable}

specifies the name of the data table that contains input state.

The castable value can be one or more of the following:

caslib="string"

specifies the caslib for the input table that you want to use with the action. By default, the active caslib is used. Specify a value only if you need to access a table from a different caslib.

dataSourceOptions={key-1=any-list-or-data-type-1 <, key-2=any-list-or-data-type-2, ...>}

specifies data source options.

Aliases	options
Aliases	dataSource

* name="table-name"

specifies the name of the input table.

whereTable={groupbytable}

specifies an input table that contains rows to use as a WHERE filter. If the vars parameter is not specified, then all the variable names that are common to the input table and the filtering table are used to find matching rows. If the where parameter for the input table and this parameter are specified, then this filtering table is applied first.

The groupbytable value can be one or more of the following:

casLib="string"

specifies the caslib for the filter table. By default, the active caslib is used.

dataSourceOptions={adls_noreq-parameters | bigquery-parameters | cas_noreq-parameters | clouddex-parameters | db2-parameters | dnfs-parameters | esp-parameters | fedsvr-parameters | gcs_noreq-parameters | hadoop-parameters | hana-parameters | impala-parameters | informix-parameters | jdbc-parameters | mongodb-parameters | mysql-parameters | odbc-parameters | oracle-parameters | path-parameters | postgres-parameters | redshift-parameters | s3-parameters | sapiq-parameters | sforce-parameters | singlestore_standard-parameters | snowflake-parameters | spark-parameters | spde-parameters | sqlserver-parameters | ss_noreq-parameters | teradata-parameters | vertica-parameters | yellowbrick-parameters}

specifies data source options.

Aliases	options
Aliases	dataSource

For more information about specifying the dataSourceOptions parameter, see the common dataSourceOptions parameter (Appendix A: Common Parameters).

importOptions={fileType="ANY" | "AUDIO" | "AUTO" | "BASESAS" | "CSV" | "DOCUMENT" | "DTA" | "ESP" | "EXCEL" | "FMT" | "HDAT" | "IMAGE" | "JMP" | "LASR" | "PARQUET" | "SPSS" | "VIDEO" | "XLS", fileType-specific-parameters}

specifies the settings for reading a table from a data source.

Alias	import

For more information about specifying the importOptions parameter, see the common importOptions parameter (Appendix A: Common Parameters).

* name="table-name"

specifies the name of the filter table.

vars={{casinvardesc-1} <, {casinvardesc-2}, ...>}

specifies the variable names to use from the filter table.

The casinvardesc value can be one or more of the following:

format="string"

specifies the format to apply to the variable.

formattedLength=integer

specifies the length of the format field plus the length of the format precision.

label="string"

specifies the descriptive label for the variable.

* name="variable-name"

specifies the name for the variable.

nfd=integer

specifies the length of the format precision.

nfl=integer

specifies the length of the format field.

where="where-expression"

specifies an expression for subsetting the data from the filter table.

linearApproximationType="EXTENDED" | "UNSCENTED"

specifies the technique that is used to generate a linear approximation of the nonlinear relationships.

Alias	linApprox
Default	EXTENDED

EXTENDED

uses the extended method of linear approximation.

UNSCENTED

uses the unscented method of linear approximation.

links={_links}

specifies the table of parent-child relationships among variables in a two-time-period network.

The _links value can be one or more of the following:

child="string"

specifies the name of the child variable column in the links data table.

Default	"child"

* data={castable}

specifies the name of the links data table.

For more information about specifying the data parameter, see the common castable (Form 1) parameter (Appendix A: Common Parameters).

parent="string"

specifies the name of the parent variable column in the links data table.

Default	"parent"

stage="string"

specifies the name of the stage column in the links data table, where the value of the stage parameter is 1 for the current time period or 2 for the previous time period.

Default	"stage"

odeApproximationType="ALL" | "GRADIENT" | "NONE"

specifies which type of ordinary differential equation (ODE) approximation to use.

Alias	odeApprox
Default	GRADIENT

ALL

approximately solves the ODEs that are used in the mean and gradient calculations used in linearization.

GRADIENT

approximately solves the ODEs that are used in the gradient calculations used in linearization.

NONE

does not use any approximation to solve the ODEs that are used in the mean and gradient calculations used in linearization.

output={_output}

specifies the table that contains the outgoing beliefs of hidden variables. Beliefs of interval variables differ by levels of nominal variables. This table provides the interval variable beliefs for the most probable levels of the nominal variables.

Alias	out

data={casouttable}

specifies the name of the output data table.

For more information about specifying the data parameter, see the common casouttable (Form 1) parameter (Appendix A: Common Parameters).

outputCliques={_outcliques}

specifies the table that contains the cliques in the clique tree obtained by processing the Bayesian network.

Alias	outcliques

data={casouttable}

specifies the name of the cliques data table.

For more information about specifying the data parameter, see the common casouttable (Form 1) parameter (Appendix A: Common Parameters).

outputDetails={_outdetails}

specifies the table that contains the outgoing beliefs of hidden variables specific to the branches (values) of hidden nominal variables. Thus, this table provides beliefs of interval variables over less probable values of nominal variables as well.

Alias	outdetails

data={casouttable}

specifies the name of the output details data table.

For more information about specifying the data parameter, see the common casouttable (Form 1) parameter (Appendix A: Common Parameters).

outputState={_outstate}

specifies the table that saves the current state information.

data={casouttable}

specifies the name of the data table that saves the current state information.

The casouttable value can be one or more of the following:

caslib="string"

specifies the name of the caslib for the output table.

label="string"

specifies the descriptive label to associate with the table.

lifetime=64-bit-integer

specifies the number of seconds to keep the table in memory after it is last accessed. The table is dropped if it is not accessed for the specified number of seconds.

Default	0
Minimum value	0

memoryFormat="DVR" | "INHERIT" | "STANDARD"

specifies the memory format for the output table.

Default	INHERIT

DVR

use the duplicate value reduction memory format. This memory format can reduce the memory consumption and file size when the input data contains duplicate values.

INHERIT

use the default memory format that is set for the server. By default, the server uses the standard memory format. If an administrator sets the CAS_DEFAULT_MEMORY_FORMAT environment variable to DVR, then the DVR memory format is set as the default for the server.

STANDARD

use the standard memory format.

name="table-name"

specifies the name for the output table.

promote=TRUE | FALSE

when set to True, adds the output table with a global scope. This enables other sessions to access the table, subject to access controls. The target caslib must also have a global scope.

Default	FALSE

replace=TRUE | FALSE

when set to True, overwrites an existing table that has the same name.

Default	FALSE

tableRedistUpPolicy="DEFER" | "NOREDIST" | "REBALANCE"

Specifies the Table Redistribution Policy when the number of worker pods increases on a running CAS server.

DEFER

Defer redistribution policy selection to higher-level entity.

NOREDIST

Do not redistribute table data when the number of worker pods changes on a running CAS server.

REBALANCE

Rebalance table data when the number of worker pods changes on a running CAS server.

syncThreshold=double

specifies the synchronization threshold. Probabilities over the levels of a nominal variable define a point in the probability space at each time. Euclidean distance (L2-norm) between two points that specify probabilities at the beginning and end of a time period is calculated and compared to the synchronization threshold. If the distance exceeds this threshold, then the beliefs in interval variables at all levels of the nominal variable are synchronized over the branches that correspond to the values of nominal variables.

Alias	threshold
Default	0.005
Range	0–1

table={_data}

specifies the input table that contains observations by time.

* data={castable}

specifies the name of the data table that contains observations.

For more information about specifying the data parameter, see the common castable (Form 1) parameter (Appendix A: Common Parameters).

variableLevels={_varlevels}

specifies the table of valid levels of nominal variables.

Alias	varLevels

The _varlevels value can be one or more of the following:

data={castable}

specifies the name of the levels data table.

For more information about specifying the data parameter, see the common castable (Form 1) parameter (Appendix A: Common Parameters).

levelorder="string"

specifies the name of the level order column in the levels data table.

Default	"levelorder"

varlevel="string"

specifies the name of the level column in the levels data table.

Default	"varlevel"

varname="string"

specifies the name of the variable column in the levels data table.

Default	"varname"

variableOdes={_varodes}

specifies the table of variables by systems of ordinary differential equations (ODEs). Each system has a unique group number.

Alias	varOdes

The _varodes value can be one or more of the following:

data={castable}

specifies the name of the data table of variables in ODE systems.

For more information about specifying the data parameter, see the common castable (Form 1) parameter (Appendix A: Common Parameters).

system="string"

specifies the name of the ODE system column of variables in the ODE systems data table.

Default	"system"

varname="string"

specifies the name of the variable column in the ODE systems data table.

Default	"varname"

variableRoles={_variables}

specifies the table of variables and their properties: TIMEID, CONTROL, HIDDEN, or OBSERVED.

Alias	varRoles

The _variables value can be one or more of the following:

* data={castable}

specifies the name of the variables data table.

For more information about specifying the data parameter, see the common castable (Form 1) parameter (Appendix A: Common Parameters).

varname="string"

specifies the name of the variable column in the variables data table.

Default	"varname"

varorder="string"

specifies the name of the order column in the variables data table.

Default	"varorder"

varrole="string"

specifies the name of the role column in the variables data table.

Default	"varrole"

variableSyncParms={_varsyncs}

specifies the table of parameters that are used in synchronizing beliefs of hidden interval variables for different values of hidden nominal variables.

Alias	varSyncs

The _varsyncs value can be one or more of the following:

data={castable}

specifies the name of the variable synchronization data table.

For more information about specifying the data parameter, see the common castable (Form 1) parameter (Appendix A: Common Parameters).

intervalvar="string"

specifies the name of the interval variable column in the variable synchronization data table.

Default	"intervalvar"

mean="string"

specifies the name of the mean column for synchronization of the interval variable or the probability of the nominal variable in the variable synchronization data table.

Default	"mean"

nominalvar="string"

specifies the name of the nominal variable column in the variable synchronization data table. The synchronization value of the interval variable can vary by levels of the nominal variables.

Default	"nominalvar"

sdev="string"

specifies the name of the standard deviation column for synchronization of the interval variable in the variable synchronization data table.

Default	"sdev"

varlevel="string"

specifies the name of the level column of the nominal variable in the variable synchronization data table.

Default	"varlevel"

dynBnet Action

Dynamic Bayesian Network Action.

Lua Syntax
Summary: Input and Output Tables
Parameter Descriptions

Lua Syntax

results, info = s:dynamicBayesianNetwork_dynBnet{

cliques={

data={

caslib="string"

computedOnDemand=true | false

computedVars={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

computedVarsProgram="string"

dataSourceOptions={key-1=any-list-or-data-type-1 <, key-2=any-list-or-data-type-2, ...>}

groupBy={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

groupByMode="NOSORT" | "REDISTRIBUTE"

name="table-name"

orderBy={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

singlePass=true | false

vars={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

where="where-expression"

whereTable={

casLib="string"

name="table-name"

vars={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

where="where-expression"

}

id="string",

stage="string",

toid="string",

type="string",

varname="string"

initialBeliefs={

data={

caslib="string"

computedOnDemand=true | false

computedVars={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

computedVarsProgram="string"

dataSourceOptions={key-1=any-list-or-data-type-1 <, key-2=any-list-or-data-type-2, ...>}

groupBy={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

groupByMode="NOSORT" | "REDISTRIBUTE"

name="table-name"

orderBy={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

singlePass=true | false

vars={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

where="where-expression"

whereTable={

casLib="string"

name="table-name"

vars={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

where="where-expression"

}

intervalvar="string",

mean="string",

nominalvar="string",

sdev="string",

varlevel="string"

inputState={

data={

caslib="string"

dataSourceOptions={key-1=any-list-or-data-type-1 <, key-2=any-list-or-data-type-2, ...>}

name="table-name"

whereTable={

casLib="string"

name="table-name"

vars={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

where="where-expression"

}

linearApproximationType="EXTENDED" | "UNSCENTED",

links={

child="string",

data={

caslib="string"

computedOnDemand=true | false

computedVars={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

computedVarsProgram="string"

dataSourceOptions={key-1=any-list-or-data-type-1 <, key-2=any-list-or-data-type-2, ...>}

groupBy={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

groupByMode="NOSORT" | "REDISTRIBUTE"

name="table-name"

orderBy={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

singlePass=true | false

vars={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

where="where-expression"

whereTable={

casLib="string"

name="table-name"

vars={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

where="where-expression"

}

parent="string",

stage="string"

odeApproximationType="ALL" | "GRADIENT" | "NONE",

output={

data={

caslib="string"

compress=true | false

indexVars={"variable-name-1" <, "variable-name-2", ...>}

label="string"

lifetime=64-bit-integer

maxMemSize=64-bit-integer

memoryFormat="DVR" | "INHERIT" | "STANDARD"

name="table-name"

promote=true | false

replace=true | false

replication=integer

tableRedistUpPolicy="DEFER" | "NOREDIST" | "REBALANCE"

threadBlockSize=64-bit-integer

timeStamp="string"

where={"string-1" <, "string-2", ...>}

}

outputCliques={

data={

caslib="string"

compress=true | false

indexVars={"variable-name-1" <, "variable-name-2", ...>}

label="string"

lifetime=64-bit-integer

maxMemSize=64-bit-integer

memoryFormat="DVR" | "INHERIT" | "STANDARD"

name="table-name"

promote=true | false

replace=true | false

replication=integer

tableRedistUpPolicy="DEFER" | "NOREDIST" | "REBALANCE"

threadBlockSize=64-bit-integer

timeStamp="string"

where={"string-1" <, "string-2", ...>}

}

outputDetails={

data={

caslib="string"

compress=true | false

indexVars={"variable-name-1" <, "variable-name-2", ...>}

label="string"

lifetime=64-bit-integer

maxMemSize=64-bit-integer

memoryFormat="DVR" | "INHERIT" | "STANDARD"

name="table-name"

promote=true | false

replace=true | false

replication=integer

tableRedistUpPolicy="DEFER" | "NOREDIST" | "REBALANCE"

threadBlockSize=64-bit-integer

timeStamp="string"

where={"string-1" <, "string-2", ...>}

}

outputState={

data={

caslib="string"

label="string"

lifetime=64-bit-integer

memoryFormat="DVR" | "INHERIT" | "STANDARD"

name="table-name"

promote=true | false

replace=true | false

tableRedistUpPolicy="DEFER" | "NOREDIST" | "REBALANCE"

}

syncThreshold=double,

table={

data={

caslib="string"

computedOnDemand=true | false

computedVars={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

computedVarsProgram="string"

dataSourceOptions={key-1=any-list-or-data-type-1 <, key-2=any-list-or-data-type-2, ...>}

groupBy={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

groupByMode="NOSORT" | "REDISTRIBUTE"

name="table-name"

orderBy={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

singlePass=true | false

vars={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

where="where-expression"

whereTable={

casLib="string"

name="table-name"

vars={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

where="where-expression"

}

variableLevels={

data={

caslib="string"

computedOnDemand=true | false

computedVars={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

computedVarsProgram="string"

dataSourceOptions={key-1=any-list-or-data-type-1 <, key-2=any-list-or-data-type-2, ...>}

groupBy={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

groupByMode="NOSORT" | "REDISTRIBUTE"

name="table-name"

orderBy={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

singlePass=true | false

vars={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

where="where-expression"

whereTable={

casLib="string"

name="table-name"

vars={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

where="where-expression"

}

levelorder="string",

varlevel="string",

varname="string"

variableOdes={

data={

caslib="string"

computedOnDemand=true | false

computedVars={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

computedVarsProgram="string"

dataSourceOptions={key-1=any-list-or-data-type-1 <, key-2=any-list-or-data-type-2, ...>}

groupBy={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

groupByMode="NOSORT" | "REDISTRIBUTE"

name="table-name"

orderBy={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

singlePass=true | false

vars={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

where="where-expression"

whereTable={

casLib="string"

name="table-name"

vars={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

where="where-expression"

}

system="string",

varname="string"

variableRoles={

data={

caslib="string"

computedOnDemand=true | false

computedVars={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

computedVarsProgram="string"

dataSourceOptions={key-1=any-list-or-data-type-1 <, key-2=any-list-or-data-type-2, ...>}

groupBy={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

groupByMode="NOSORT" | "REDISTRIBUTE"

name="table-name"

orderBy={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

singlePass=true | false

vars={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

where="where-expression"

whereTable={

casLib="string"

name="table-name"

vars={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

where="where-expression"

}

varname="string",

varorder="string",

varrole="string"

variableSyncParms={

data={

caslib="string"

computedOnDemand=true | false

computedVars={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

computedVarsProgram="string"

dataSourceOptions={key-1=any-list-or-data-type-1 <, key-2=any-list-or-data-type-2, ...>}

groupBy={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

groupByMode="NOSORT" | "REDISTRIBUTE"

name="table-name"

orderBy={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

singlePass=true | false

vars={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

where="where-expression"

whereTable={

casLib="string"

name="table-name"

vars={{

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

}, {...}}

where="where-expression"

}

intervalvar="string",

mean="string",

nominalvar="string",

sdev="string",

varlevel="string"

}

Summary: Input and Output Tables

If a row includes a subparameter, you can specify the name, caslib, and so on in the subparameter. Otherwise, you can specify the name, caslib, and so on in the parameter.

Parameters for Reading Input Tables
Parameter	Subparameter	Description
cliques	data	specifies the table of the factors and the cliques that form the clique tree obtained by processing the Bayesian network of variables. A clique tree permits an exact two-pass belief propagation over the tree. If cliques are not supplied using this table, then the network is processed to form cliques, and output cliques are saved in this table for use in subsequent runs of the filter.
initialBeliefs	required parameterdata	specifies the table of incoming beliefs in hidden variables from the previous run of the filter.
inputState	data	specifies the table of input state.
links	required parameterdata	specifies the table of parent-child relationships among variables in a two-time-period network.
table	required parameterdata	specifies the input table that contains observations by time.
variableLevels	data	specifies the table of valid levels of nominal variables.
variableOdes	data	specifies the table of variables by systems of ordinary differential equations (ODEs). Each system has a unique group number.
variableRoles	required parameterdata	specifies the table of variables and their properties: TIMEID, CONTROL, HIDDEN, or OBSERVED.
variableSyncParms	data	specifies the table of parameters that are used in synchronizing beliefs of hidden interval variables for different values of hidden nominal variables.

Parameters for Creating Output Tables
Parameter	Subparameter	Description
output	data	specifies the table that contains the outgoing beliefs of hidden variables. Beliefs of interval variables differ by levels of nominal variables. This table provides the interval variable beliefs for the most probable levels of the nominal variables.
outputCliques	data	specifies the table that contains the cliques in the clique tree obtained by processing the Bayesian network.
outputDetails	data	specifies the table that contains the outgoing beliefs of hidden variables specific to the branches (values) of hidden nominal variables. Thus, this table provides beliefs of interval variables over less probable values of nominal variables as well.
outputState	data	specifies the table that saves the current state information.

Parameter Descriptions

cliques={_cliques}

The _cliques value can be one or more of the following:

data={castable}

specifies the name of the cliques data table.

For more information about specifying the data parameter, see the common castable (Form 1) parameter (Appendix A: Common Parameters).

id="string"

Default	"id"

stage="string"

Default	"stage"

toid="string"

specifies the name of the column that contains the ID of the clique that receives the message.

Default	"toid"

type="string"

specifies the name of the type column in the cliques data table, where the type parameter determines whether the ID parameter value corresponds to a clique or a factor.

Default	"type"

varname="string"

specifies the name of the variable column in the cliques data table, which is specified when the ID parameter value corresponds to a belief factor for a variable.

Default	"varname"

initialBeliefs={_initbeliefs}

specifies the table of incoming beliefs in hidden variables from the previous run of the filter.

Alias	initBeliefs

The _initbeliefs value can be one or more of the following:

* data={castable}

specifies the name of the initial beliefs data table.

For more information about specifying the data parameter, see the common castable (Form 1) parameter (Appendix A: Common Parameters).

intervalvar="string"

specifies the name of the interval variable column in the initial beliefs data table.

Default	"intervalvar"

mean="string"

specifies the name of the mean column of the interval variable or the probability of the nominal variable in the initial beliefs data table.

Default	"mean"

nominalvar="string"

specifies the name of the nominal variable column in the initial beliefs data table. The belief in the interval variable varies by levels of the nominal variables.

Default	"nominalvar"

sdev="string"

specifies the name of the standard deviation column of the interval variable in the initial beliefs data table.

Default	"sdev"

varlevel="string"

specifies the name of the level column of the nominal variable in the initial beliefs data table.

Default	"varlevel"

inputState={_instate}

specifies the table of input state.

data={castable}

specifies the name of the data table that contains input state.

The castable value can be one or more of the following:

caslib="string"

specifies the caslib for the input table that you want to use with the action. By default, the active caslib is used. Specify a value only if you need to access a table from a different caslib.

dataSourceOptions={key-1=any-list-or-data-type-1 <, key-2=any-list-or-data-type-2, ...>}

specifies data source options.

Aliases	options
Aliases	dataSource

* name="table-name"

specifies the name of the input table.

whereTable={groupbytable}

The groupbytable value can be one or more of the following:

casLib="string"

specifies the caslib for the filter table. By default, the active caslib is used.

dataSourceOptions={adls_noreq-parameters | bigquery-parameters | cas_noreq-parameters | clouddex-parameters | db2-parameters | dnfs-parameters | esp-parameters | fedsvr-parameters | gcs_noreq-parameters | hadoop-parameters | hana-parameters | impala-parameters | informix-parameters | jdbc-parameters | mongodb-parameters | mysql-parameters | odbc-parameters | oracle-parameters | path-parameters | postgres-parameters | redshift-parameters | s3-parameters | sapiq-parameters | sforce-parameters | singlestore_standard-parameters | snowflake-parameters | spark-parameters | spde-parameters | sqlserver-parameters | ss_noreq-parameters | teradata-parameters | vertica-parameters | yellowbrick-parameters}

specifies data source options.

Aliases	options
Aliases	dataSource

For more information about specifying the dataSourceOptions parameter, see the common dataSourceOptions parameter (Appendix A: Common Parameters).

importOptions={fileType="ANY" | "AUDIO" | "AUTO" | "BASESAS" | "CSV" | "DOCUMENT" | "DTA" | "ESP" | "EXCEL" | "FMT" | "HDAT" | "IMAGE" | "JMP" | "LASR" | "PARQUET" | "SPSS" | "VIDEO" | "XLS", fileType-specific-parameters}

specifies the settings for reading a table from a data source.

Alias	import

For more information about specifying the importOptions parameter, see the common importOptions parameter (Appendix A: Common Parameters).

* name="table-name"

specifies the name of the filter table.

vars={{casinvardesc-1} <, {casinvardesc-2}, ...>}

specifies the variable names to use from the filter table.

The casinvardesc value can be one or more of the following:

format="string"

specifies the format to apply to the variable.

formattedLength=integer

specifies the length of the format field plus the length of the format precision.

label="string"

specifies the descriptive label for the variable.

* name="variable-name"

specifies the name for the variable.

nfd=integer

specifies the length of the format precision.

nfl=integer

specifies the length of the format field.

where="where-expression"

specifies an expression for subsetting the data from the filter table.

linearApproximationType="EXTENDED" | "UNSCENTED"

specifies the technique that is used to generate a linear approximation of the nonlinear relationships.

Alias	linApprox
Default	EXTENDED

EXTENDED

uses the extended method of linear approximation.

UNSCENTED

uses the unscented method of linear approximation.

links={_links}

specifies the table of parent-child relationships among variables in a two-time-period network.

The _links value can be one or more of the following:

child="string"

specifies the name of the child variable column in the links data table.

Default	"child"

* data={castable}

specifies the name of the links data table.

For more information about specifying the data parameter, see the common castable (Form 1) parameter (Appendix A: Common Parameters).

parent="string"

specifies the name of the parent variable column in the links data table.

Default	"parent"

stage="string"

specifies the name of the stage column in the links data table, where the value of the stage parameter is 1 for the current time period or 2 for the previous time period.

Default	"stage"

odeApproximationType="ALL" | "GRADIENT" | "NONE"

specifies which type of ordinary differential equation (ODE) approximation to use.

Alias	odeApprox
Default	GRADIENT

ALL

approximately solves the ODEs that are used in the mean and gradient calculations used in linearization.

GRADIENT

approximately solves the ODEs that are used in the gradient calculations used in linearization.

NONE

does not use any approximation to solve the ODEs that are used in the mean and gradient calculations used in linearization.

output={_output}

Alias	out

data={casouttable}

specifies the name of the output data table.

For more information about specifying the data parameter, see the common casouttable (Form 1) parameter (Appendix A: Common Parameters).

outputCliques={_outcliques}

specifies the table that contains the cliques in the clique tree obtained by processing the Bayesian network.

Alias	outcliques

data={casouttable}

specifies the name of the cliques data table.

For more information about specifying the data parameter, see the common casouttable (Form 1) parameter (Appendix A: Common Parameters).

outputDetails={_outdetails}

Alias	outdetails

data={casouttable}

specifies the name of the output details data table.

For more information about specifying the data parameter, see the common casouttable (Form 1) parameter (Appendix A: Common Parameters).

outputState={_outstate}

specifies the table that saves the current state information.

data={casouttable}

specifies the name of the data table that saves the current state information.

The casouttable value can be one or more of the following:

caslib="string"

specifies the name of the caslib for the output table.

label="string"

specifies the descriptive label to associate with the table.

lifetime=64-bit-integer

specifies the number of seconds to keep the table in memory after it is last accessed. The table is dropped if it is not accessed for the specified number of seconds.

Default	0
Minimum value	0

memoryFormat="DVR" | "INHERIT" | "STANDARD"

specifies the memory format for the output table.

Default	INHERIT

DVR

use the duplicate value reduction memory format. This memory format can reduce the memory consumption and file size when the input data contains duplicate values.

INHERIT

STANDARD

use the standard memory format.

name="table-name"

specifies the name for the output table.

promote=true | false

when set to True, adds the output table with a global scope. This enables other sessions to access the table, subject to access controls. The target caslib must also have a global scope.

Default	false

replace=true | false

when set to True, overwrites an existing table that has the same name.

Default	false

tableRedistUpPolicy="DEFER" | "NOREDIST" | "REBALANCE"

Specifies the Table Redistribution Policy when the number of worker pods increases on a running CAS server.

DEFER

Defer redistribution policy selection to higher-level entity.

NOREDIST

Do not redistribute table data when the number of worker pods changes on a running CAS server.

REBALANCE

Rebalance table data when the number of worker pods changes on a running CAS server.

syncThreshold=double

Alias	threshold
Default	0.005
Range	0–1

table={_data}

specifies the input table that contains observations by time.

* data={castable}

specifies the name of the data table that contains observations.

For more information about specifying the data parameter, see the common castable (Form 1) parameter (Appendix A: Common Parameters).

variableLevels={_varlevels}

specifies the table of valid levels of nominal variables.

Alias	varLevels

The _varlevels value can be one or more of the following:

data={castable}

specifies the name of the levels data table.

For more information about specifying the data parameter, see the common castable (Form 1) parameter (Appendix A: Common Parameters).

levelorder="string"

specifies the name of the level order column in the levels data table.

Default	"levelorder"

varlevel="string"

specifies the name of the level column in the levels data table.

Default	"varlevel"

varname="string"

specifies the name of the variable column in the levels data table.

Default	"varname"

variableOdes={_varodes}

specifies the table of variables by systems of ordinary differential equations (ODEs). Each system has a unique group number.

Alias	varOdes

The _varodes value can be one or more of the following:

data={castable}

specifies the name of the data table of variables in ODE systems.

For more information about specifying the data parameter, see the common castable (Form 1) parameter (Appendix A: Common Parameters).

system="string"

specifies the name of the ODE system column of variables in the ODE systems data table.

Default	"system"

varname="string"

specifies the name of the variable column in the ODE systems data table.

Default	"varname"

variableRoles={_variables}

specifies the table of variables and their properties: TIMEID, CONTROL, HIDDEN, or OBSERVED.

Alias	varRoles

The _variables value can be one or more of the following:

* data={castable}

specifies the name of the variables data table.

For more information about specifying the data parameter, see the common castable (Form 1) parameter (Appendix A: Common Parameters).

varname="string"

specifies the name of the variable column in the variables data table.

Default	"varname"

varorder="string"

specifies the name of the order column in the variables data table.

Default	"varorder"

varrole="string"

specifies the name of the role column in the variables data table.

Default	"varrole"

variableSyncParms={_varsyncs}

specifies the table of parameters that are used in synchronizing beliefs of hidden interval variables for different values of hidden nominal variables.

Alias	varSyncs

The _varsyncs value can be one or more of the following:

data={castable}

specifies the name of the variable synchronization data table.

For more information about specifying the data parameter, see the common castable (Form 1) parameter (Appendix A: Common Parameters).

intervalvar="string"

specifies the name of the interval variable column in the variable synchronization data table.

Default	"intervalvar"

mean="string"

specifies the name of the mean column for synchronization of the interval variable or the probability of the nominal variable in the variable synchronization data table.

Default	"mean"

nominalvar="string"

specifies the name of the nominal variable column in the variable synchronization data table. The synchronization value of the interval variable can vary by levels of the nominal variables.

Default	"nominalvar"

sdev="string"

specifies the name of the standard deviation column for synchronization of the interval variable in the variable synchronization data table.

Default	"sdev"

varlevel="string"

specifies the name of the level column of the nominal variable in the variable synchronization data table.

Default	"varlevel"

dynBnet Action

Dynamic Bayesian Network Action.

Python Syntax
Summary: Input and Output Tables
Parameter Descriptions

Python Syntax

results=s.dynamicBayesianNetwork.dynBnet(

cliques={

"data":{

"caslib":"string"

"computedOnDemand":True | False

"computedVars":[{

"format":"string",

"formattedLength":integer,

"label":"string",

"name":"variable-name",

"nfd":integer,

"nfl":integer

}<, {...}>]

"computedVarsProgram":"string"

"dataSourceOptions":{"key-1":{any-list-or-data-type-1} <, "key-2":{any-list-or-data-type-2}, ...>}

"groupBy":[{

"format":"string",

"formattedLength":integer,

"label":"string",

"name":"variable-name",

"nfd":integer,

"nfl":integer

}<, {...}>]

"groupByMode":"NOSORT" | "REDISTRIBUTE"

"importOptions":{"fileType":"ANY" | "AUDIO" | "AUTO" | "BASESAS" | "CSV" | "DELIMITED" | "DOCUMENT" | "DTA" | "ESP" | "EXCEL" | "FMT" | "HDAT" | "IMAGE" | "JMP" | "LASR" | "PARQUET" | "SOUND" | "SPSS" | "VIDEO" | "XLS", fileType-specific-parameters}

"name":"table-name"

"orderBy":[{

"format":"string",

"formattedLength":integer,

"label":"string",

"name":"variable-name",

"nfd":integer,

"nfl":integer

}<, {...}>]

"singlePass":True | False

"vars":[{

"format":"string",

"formattedLength":integer,

"label":"string",

"name":"variable-name",

"nfd":integer,

"nfl":integer

}<, {...}>]

"where":"where-expression"

"whereTable":{

"casLib":"string"

"dataSourceOptions":{adls_noreq-parameters | bigquery-parameters | cas_noreq-parameters | clouddex-parameters | db2-parameters | dnfs-parameters | esp-parameters | fedsvr-parameters | gcs_noreq-parameters | hadoop-parameters | hana-parameters | impala-parameters | informix-parameters | jdbc-parameters | mongodb-parameters | mysql-parameters | odbc-parameters | oracle-parameters | path-parameters | postgres-parameters | redshift-parameters | s3-parameters | sapiq-parameters | sforce-parameters | singlestore_standard-parameters | snowflake-parameters | spark-parameters | spde-parameters | sqlserver-parameters | ss_noreq-parameters | teradata-parameters | vertica-parameters | yellowbrick-parameters}

"name":"table-name"

"vars":[{

"format":"string",

"formattedLength":integer,

"label":"string",

"name":"variable-name",

"nfd":integer,

"nfl":integer

}<, {...}>]

"where":"where-expression"

}

"id":"string",

"stage":"string",

"toid":"string",

"type":"string",

"varname":"string"

initialBeliefs={

"data":{

"caslib":"string"

"computedOnDemand":True | False

"computedVars":[{

"format":"string",

"formattedLength":integer,

"label":"string",

"name":"variable-name",

"nfd":integer,

"nfl":integer

}<, {...}>]

"computedVarsProgram":"string"

"dataSourceOptions":{"key-1":{any-list-or-data-type-1} <, "key-2":{any-list-or-data-type-2}, ...>}

"groupBy":[{

"format":"string",

"formattedLength":integer,

"label":"string",

"name":"variable-name",

"nfd":integer,

"nfl":integer

}<, {...}>]

"groupByMode":"NOSORT" | "REDISTRIBUTE"

"name":"table-name"

"orderBy":[{

"format":"string",

"formattedLength":integer,

"label":"string",

"name":"variable-name",

"nfd":integer,

"nfl":integer

}<, {...}>]

"singlePass":True | False

"vars":[{

"format":"string",

"formattedLength":integer,

"label":"string",

"name":"variable-name",

"nfd":integer,

"nfl":integer

}<, {...}>]

"where":"where-expression"

"whereTable":{

"casLib":"string"

"name":"table-name"

"vars":[{

"format":"string",

"formattedLength":integer,

"label":"string",

"name":"variable-name",

"nfd":integer,

"nfl":integer

}<, {...}>]

"where":"where-expression"

}

"intervalvar":"string",

"mean":"string",

"nominalvar":"string",

"sdev":"string",

"varlevel":"string"

inputState={

"data":{

"caslib":"string"

"dataSourceOptions":{"key-1":{any-list-or-data-type-1} <, "key-2":{any-list-or-data-type-2}, ...>}

"name":"table-name"

"whereTable":{

"casLib":"string"

"name":"table-name"

"vars":[{

"format":"string",

"formattedLength":integer,

"label":"string",

"name":"variable-name",

"nfd":integer,

"nfl":integer

}<, {...}>]

"where":"where-expression"

}

linearApproximationType="EXTENDED" | "UNSCENTED",

links={

"child":"string",

"data":{

"caslib":"string"

"computedOnDemand":True | False

"computedVars":[{

"format":"string",

"formattedLength":integer,

"label":"string",

"name":"variable-name",

"nfd":integer,

"nfl":integer

}<, {...}>]

"computedVarsProgram":"string"

"dataSourceOptions":{"key-1":{any-list-or-data-type-1} <, "key-2":{any-list-or-data-type-2}, ...>}

"groupBy":[{

"format":"string",

"formattedLength":integer,

"label":"string",

"name":"variable-name",

"nfd":integer,

"nfl":integer

}<, {...}>]

"groupByMode":"NOSORT" | "REDISTRIBUTE"

"name":"table-name"

"orderBy":[{

"format":"string",

"formattedLength":integer,

"label":"string",

"name":"variable-name",

"nfd":integer,

"nfl":integer

}<, {...}>]

"singlePass":True | False

"vars":[{

"format":"string",

"formattedLength":integer,

"label":"string",

"name":"variable-name",

"nfd":integer,

"nfl":integer

}<, {...}>]

"where":"where-expression"

"whereTable":{

"casLib":"string"

"name":"table-name"

"vars":[{

"format":"string",

"formattedLength":integer,

"label":"string",

"name":"variable-name",

"nfd":integer,

"nfl":integer

}<, {...}>]

"where":"where-expression"

}

"parent":"string",

"stage":"string"

odeApproximationType="ALL" | "GRADIENT" | "NONE",

output={

"data":{

"caslib":"string"

"compress":True | False

"indexVars":["variable-name-1" <, "variable-name-2", ...>]

"label":"string"

"lifetime":64-bit-integer

"maxMemSize":64-bit-integer

"memoryFormat":"DVR" | "INHERIT" | "STANDARD"

"name":"table-name"

"promote":True | False

"replace":True | False

"replication":integer

"tableRedistUpPolicy":"DEFER" | "NOREDIST" | "REBALANCE"

"threadBlockSize":64-bit-integer

"timeStamp":"string"

"where":["string-1" <, "string-2", ...>]

}

outputCliques={

"data":{

"caslib":"string"

"compress":True | False

"indexVars":["variable-name-1" <, "variable-name-2", ...>]

"label":"string"

"lifetime":64-bit-integer

"maxMemSize":64-bit-integer

"memoryFormat":"DVR" | "INHERIT" | "STANDARD"

"name":"table-name"

"promote":True | False

"replace":True | False

"replication":integer

"tableRedistUpPolicy":"DEFER" | "NOREDIST" | "REBALANCE"

"threadBlockSize":64-bit-integer

"timeStamp":"string"

"where":["string-1" <, "string-2", ...>]

}

outputDetails={

"data":{

"caslib":"string"

"compress":True | False

"indexVars":["variable-name-1" <, "variable-name-2", ...>]

"label":"string"

"lifetime":64-bit-integer

"maxMemSize":64-bit-integer

"memoryFormat":"DVR" | "INHERIT" | "STANDARD"

"name":"table-name"

"promote":True | False

"replace":True | False

"replication":integer

"tableRedistUpPolicy":"DEFER" | "NOREDIST" | "REBALANCE"

"threadBlockSize":64-bit-integer

"timeStamp":"string"

"where":["string-1" <, "string-2", ...>]

}

outputState={

"data":{

"caslib":"string"

"label":"string"

"lifetime":64-bit-integer

"memoryFormat":"DVR" | "INHERIT" | "STANDARD"

"name":"table-name"

"promote":True | False

"replace":True | False

"tableRedistUpPolicy":"DEFER" | "NOREDIST" | "REBALANCE"

}

syncThreshold=double,

table={

"data":{

"caslib":"string"

"computedOnDemand":True | False

"computedVars":[{

"format":"string",

"formattedLength":integer,

"label":"string",

"name":"variable-name",

"nfd":integer,

"nfl":integer

}<, {...}>]

"computedVarsProgram":"string"

"dataSourceOptions":{"key-1":{any-list-or-data-type-1} <, "key-2":{any-list-or-data-type-2}, ...>}

"groupBy":[{

"format":"string",

"formattedLength":integer,

"label":"string",

"name":"variable-name",

"nfd":integer,

"nfl":integer

}<, {...}>]

"groupByMode":"NOSORT" | "REDISTRIBUTE"

"name":"table-name"

"orderBy":[{

"format":"string",

"formattedLength":integer,

"label":"string",

"name":"variable-name",

"nfd":integer,

"nfl":integer

}<, {...}>]

"singlePass":True | False

"vars":[{

"format":"string",

"formattedLength":integer,

"label":"string",

"name":"variable-name",

"nfd":integer,

"nfl":integer

}<, {...}>]

"where":"where-expression"

"whereTable":{

"casLib":"string"

"name":"table-name"

"vars":[{

"format":"string",

"formattedLength":integer,

"label":"string",

"name":"variable-name",

"nfd":integer,

"nfl":integer

}<, {...}>]

"where":"where-expression"

}

variableLevels={

"data":{

"caslib":"string"

"computedOnDemand":True | False

"computedVars":[{

"format":"string",

"formattedLength":integer,

"label":"string",

"name":"variable-name",

"nfd":integer,

"nfl":integer

}<, {...}>]

"computedVarsProgram":"string"

"dataSourceOptions":{"key-1":{any-list-or-data-type-1} <, "key-2":{any-list-or-data-type-2}, ...>}

"groupBy":[{

"format":"string",

"formattedLength":integer,

"label":"string",

"name":"variable-name",

"nfd":integer,

"nfl":integer

}<, {...}>]

"groupByMode":"NOSORT" | "REDISTRIBUTE"

"name":"table-name"

"orderBy":[{

"format":"string",

"formattedLength":integer,

"label":"string",

"name":"variable-name",

"nfd":integer,

"nfl":integer

}<, {...}>]

"singlePass":True | False

"vars":[{

"format":"string",

"formattedLength":integer,

"label":"string",

"name":"variable-name",

"nfd":integer,

"nfl":integer

}<, {...}>]

"where":"where-expression"

"whereTable":{

"casLib":"string"

"name":"table-name"

"vars":[{

"format":"string",

"formattedLength":integer,

"label":"string",

"name":"variable-name",

"nfd":integer,

"nfl":integer

}<, {...}>]

"where":"where-expression"

}

"levelorder":"string",

"varlevel":"string",

"varname":"string"

variableOdes={

"data":{

"caslib":"string"

"computedOnDemand":True | False

"computedVars":[{

"format":"string",

"formattedLength":integer,

"label":"string",

"name":"variable-name",

"nfd":integer,

"nfl":integer

}<, {...}>]

"computedVarsProgram":"string"

"dataSourceOptions":{"key-1":{any-list-or-data-type-1} <, "key-2":{any-list-or-data-type-2}, ...>}

"groupBy":[{

"format":"string",

"formattedLength":integer,

"label":"string",

"name":"variable-name",

"nfd":integer,

"nfl":integer

}<, {...}>]

"groupByMode":"NOSORT" | "REDISTRIBUTE"

"name":"table-name"

"orderBy":[{

"format":"string",

"formattedLength":integer,

"label":"string",

"name":"variable-name",

"nfd":integer,

"nfl":integer

}<, {...}>]

"singlePass":True | False

"vars":[{

"format":"string",

"formattedLength":integer,

"label":"string",

"name":"variable-name",

"nfd":integer,

"nfl":integer

}<, {...}>]

"where":"where-expression"

"whereTable":{

"casLib":"string"

"name":"table-name"

"vars":[{

"format":"string",

"formattedLength":integer,

"label":"string",

"name":"variable-name",

"nfd":integer,

"nfl":integer

}<, {...}>]

"where":"where-expression"

}

"system":"string",

"varname":"string"

variableRoles={

"data":{

"caslib":"string"

"computedOnDemand":True | False

"computedVars":[{

"format":"string",

"formattedLength":integer,

"label":"string",

"name":"variable-name",

"nfd":integer,

"nfl":integer

}<, {...}>]

"computedVarsProgram":"string"

"dataSourceOptions":{"key-1":{any-list-or-data-type-1} <, "key-2":{any-list-or-data-type-2}, ...>}

"groupBy":[{

"format":"string",

"formattedLength":integer,

"label":"string",

"name":"variable-name",

"nfd":integer,

"nfl":integer

}<, {...}>]

"groupByMode":"NOSORT" | "REDISTRIBUTE"

"name":"table-name"

"orderBy":[{

"format":"string",

"formattedLength":integer,

"label":"string",

"name":"variable-name",

"nfd":integer,

"nfl":integer

}<, {...}>]

"singlePass":True | False

"vars":[{

"format":"string",

"formattedLength":integer,

"label":"string",

"name":"variable-name",

"nfd":integer,

"nfl":integer

}<, {...}>]

"where":"where-expression"

"whereTable":{

"casLib":"string"

"name":"table-name"

"vars":[{

"format":"string",

"formattedLength":integer,

"label":"string",

"name":"variable-name",

"nfd":integer,

"nfl":integer

}<, {...}>]

"where":"where-expression"

}

"varname":"string",

"varorder":"string",

"varrole":"string"

variableSyncParms={

"data":{

"caslib":"string"

"computedOnDemand":True | False

"computedVars":[{

"format":"string",

"formattedLength":integer,

"label":"string",

"name":"variable-name",

"nfd":integer,

"nfl":integer

}<, {...}>]

"computedVarsProgram":"string"

"dataSourceOptions":{"key-1":{any-list-or-data-type-1} <, "key-2":{any-list-or-data-type-2}, ...>}

"groupBy":[{

"format":"string",

"formattedLength":integer,

"label":"string",

"name":"variable-name",

"nfd":integer,

"nfl":integer

}<, {...}>]

"groupByMode":"NOSORT" | "REDISTRIBUTE"

"name":"table-name"

"orderBy":[{

"format":"string",

"formattedLength":integer,

"label":"string",

"name":"variable-name",

"nfd":integer,

"nfl":integer

}<, {...}>]

"singlePass":True | False

"vars":[{

"format":"string",

"formattedLength":integer,

"label":"string",

"name":"variable-name",

"nfd":integer,

"nfl":integer

}<, {...}>]

"where":"where-expression"

"whereTable":{

"casLib":"string"

"name":"table-name"

"vars":[{

"format":"string",

"formattedLength":integer,

"label":"string",

"name":"variable-name",

"nfd":integer,

"nfl":integer

}<, {...}>]

"where":"where-expression"

}

"intervalvar":"string",

"mean":"string",

"nominalvar":"string",

"sdev":"string",

"varlevel":"string"

}

)

Summary: Input and Output Tables

If a row includes a subparameter, you can specify the name, caslib, and so on in the subparameter. Otherwise, you can specify the name, caslib, and so on in the parameter.

Parameters for Reading Input Tables
Parameter	Subparameter	Description
cliques	data	specifies the table of the factors and the cliques that form the clique tree obtained by processing the Bayesian network of variables. A clique tree permits an exact two-pass belief propagation over the tree. If cliques are not supplied using this table, then the network is processed to form cliques, and output cliques are saved in this table for use in subsequent runs of the filter.
initialBeliefs	required parameterdata	specifies the table of incoming beliefs in hidden variables from the previous run of the filter.
inputState	data	specifies the table of input state.
links	required parameterdata	specifies the table of parent-child relationships among variables in a two-time-period network.
table	required parameterdata	specifies the input table that contains observations by time.
variableLevels	data	specifies the table of valid levels of nominal variables.
variableOdes	data	specifies the table of variables by systems of ordinary differential equations (ODEs). Each system has a unique group number.
variableRoles	required parameterdata	specifies the table of variables and their properties: TIMEID, CONTROL, HIDDEN, or OBSERVED.
variableSyncParms	data	specifies the table of parameters that are used in synchronizing beliefs of hidden interval variables for different values of hidden nominal variables.

Parameters for Creating Output Tables
Parameter	Subparameter	Description
output	data	specifies the table that contains the outgoing beliefs of hidden variables. Beliefs of interval variables differ by levels of nominal variables. This table provides the interval variable beliefs for the most probable levels of the nominal variables.
outputCliques	data	specifies the table that contains the cliques in the clique tree obtained by processing the Bayesian network.
outputDetails	data	specifies the table that contains the outgoing beliefs of hidden variables specific to the branches (values) of hidden nominal variables. Thus, this table provides beliefs of interval variables over less probable values of nominal variables as well.
outputState	data	specifies the table that saves the current state information.

Parameter Descriptions

cliques={_cliques}

The _cliques value can be one or more of the following:

"data":{castable}

specifies the name of the cliques data table.

For more information about specifying the data parameter, see the common castable (Form 1) parameter (Appendix A: Common Parameters).

"id":"string"

Default	"id"

"stage":"string"

Default	"stage"

"toid":"string"

specifies the name of the column that contains the ID of the clique that receives the message.

Default	"toid"

"type":"string"

specifies the name of the type column in the cliques data table, where the type parameter determines whether the ID parameter value corresponds to a clique or a factor.

Default	"type"

"varname":"string"

specifies the name of the variable column in the cliques data table, which is specified when the ID parameter value corresponds to a belief factor for a variable.

Default	"varname"

initialBeliefs={_initbeliefs}

specifies the table of incoming beliefs in hidden variables from the previous run of the filter.

Alias	initBeliefs

The _initbeliefs value can be one or more of the following:

* "data":{castable}

specifies the name of the initial beliefs data table.

For more information about specifying the data parameter, see the common castable (Form 1) parameter (Appendix A: Common Parameters).

"intervalvar":"string"

specifies the name of the interval variable column in the initial beliefs data table.

Default	"intervalvar"

"mean":"string"

specifies the name of the mean column of the interval variable or the probability of the nominal variable in the initial beliefs data table.

Default	"mean"

"nominalvar":"string"

specifies the name of the nominal variable column in the initial beliefs data table. The belief in the interval variable varies by levels of the nominal variables.

Default	"nominalvar"

"sdev":"string"

specifies the name of the standard deviation column of the interval variable in the initial beliefs data table.

Default	"sdev"

"varlevel":"string"

specifies the name of the level column of the nominal variable in the initial beliefs data table.

Default	"varlevel"

inputState={_instate}

specifies the table of input state.

"data":{castable}

specifies the name of the data table that contains input state.

The castable value can be one or more of the following:

"caslib":"string"

specifies the caslib for the input table that you want to use with the action. By default, the active caslib is used. Specify a value only if you need to access a table from a different caslib.

"dataSourceOptions":{"key-1":{any-list-or-data-type-1} <, "key-2":{any-list-or-data-type-2}, ...>}

specifies data source options.

Aliases	options
Aliases	dataSource

* "name":"table-name"

specifies the name of the input table.

"whereTable":{groupbytable}

The groupbytable value can be one or more of the following:

"casLib":"string"

specifies the caslib for the filter table. By default, the active caslib is used.

"dataSourceOptions":{adls_noreq-parameters | bigquery-parameters | cas_noreq-parameters | clouddex-parameters | db2-parameters | dnfs-parameters | esp-parameters | fedsvr-parameters | gcs_noreq-parameters | hadoop-parameters | hana-parameters | impala-parameters | informix-parameters | jdbc-parameters | mongodb-parameters | mysql-parameters | odbc-parameters | oracle-parameters | path-parameters | postgres-parameters | redshift-parameters | s3-parameters | sapiq-parameters | sforce-parameters | singlestore_standard-parameters | snowflake-parameters | spark-parameters | spde-parameters | sqlserver-parameters | ss_noreq-parameters | teradata-parameters | vertica-parameters | yellowbrick-parameters}

specifies data source options.

Aliases	options
Aliases	dataSource

For more information about specifying the dataSourceOptions parameter, see the common dataSourceOptions parameter (Appendix A: Common Parameters).

"importOptions":{"fileType":"ANY" | "AUDIO" | "AUTO" | "BASESAS" | "CSV" | "DOCUMENT" | "DTA" | "ESP" | "EXCEL" | "FMT" | "HDAT" | "IMAGE" | "JMP" | "LASR" | "PARQUET" | "SPSS" | "VIDEO" | "XLS", fileType-specific-parameters}

specifies the settings for reading a table from a data source.

Alias	import_

For more information about specifying the importOptions parameter, see the common importOptions parameter (Appendix A: Common Parameters).

* "name":"table-name"

specifies the name of the filter table.

"vars":[{casinvardesc-1} <, {casinvardesc-2}, ...>]

specifies the variable names to use from the filter table.

The casinvardesc value can be one or more of the following:

"format":"string"

specifies the format to apply to the variable.

"formattedLength":integer

specifies the length of the format field plus the length of the format precision.

"label":"string"

specifies the descriptive label for the variable.

* "name":"variable-name"

specifies the name for the variable.

"nfd":integer

specifies the length of the format precision.

"nfl":integer

specifies the length of the format field.

"where":"where-expression"

specifies an expression for subsetting the data from the filter table.

linearApproximationType="EXTENDED" | "UNSCENTED"

specifies the technique that is used to generate a linear approximation of the nonlinear relationships.

Alias	linApprox
Default	EXTENDED

EXTENDED

uses the extended method of linear approximation.

UNSCENTED

uses the unscented method of linear approximation.

links={_links}

specifies the table of parent-child relationships among variables in a two-time-period network.

The _links value can be one or more of the following:

"child":"string"

specifies the name of the child variable column in the links data table.

Default	"child"

* "data":{castable}

specifies the name of the links data table.

For more information about specifying the data parameter, see the common castable (Form 1) parameter (Appendix A: Common Parameters).

"parent":"string"

specifies the name of the parent variable column in the links data table.

Default	"parent"

"stage":"string"

specifies the name of the stage column in the links data table, where the value of the stage parameter is 1 for the current time period or 2 for the previous time period.

Default	"stage"

odeApproximationType="ALL" | "GRADIENT" | "NONE"

specifies which type of ordinary differential equation (ODE) approximation to use.

Alias	odeApprox
Default	GRADIENT

ALL

approximately solves the ODEs that are used in the mean and gradient calculations used in linearization.

GRADIENT

approximately solves the ODEs that are used in the gradient calculations used in linearization.

NONE

does not use any approximation to solve the ODEs that are used in the mean and gradient calculations used in linearization.

output={_output}

Alias	out

"data":{casouttable}

specifies the name of the output data table.

For more information about specifying the data parameter, see the common casouttable (Form 1) parameter (Appendix A: Common Parameters).

outputCliques={_outcliques}

specifies the table that contains the cliques in the clique tree obtained by processing the Bayesian network.

Alias	outcliques

"data":{casouttable}

specifies the name of the cliques data table.

For more information about specifying the data parameter, see the common casouttable (Form 1) parameter (Appendix A: Common Parameters).

outputDetails={_outdetails}

Alias	outdetails

"data":{casouttable}

specifies the name of the output details data table.

For more information about specifying the data parameter, see the common casouttable (Form 1) parameter (Appendix A: Common Parameters).

outputState={_outstate}

specifies the table that saves the current state information.

"data":{casouttable}

specifies the name of the data table that saves the current state information.

The casouttable value can be one or more of the following:

"caslib":"string"

specifies the name of the caslib for the output table.

"label":"string"

specifies the descriptive label to associate with the table.

"lifetime":64-bit-integer

specifies the number of seconds to keep the table in memory after it is last accessed. The table is dropped if it is not accessed for the specified number of seconds.

Default	0
Minimum value	0

"memoryFormat":"DVR" | "INHERIT" | "STANDARD"

specifies the memory format for the output table.

Default	INHERIT

DVR

use the duplicate value reduction memory format. This memory format can reduce the memory consumption and file size when the input data contains duplicate values.

INHERIT

STANDARD

use the standard memory format.

"name":"table-name"

specifies the name for the output table.

"promote":True | False

when set to True, adds the output table with a global scope. This enables other sessions to access the table, subject to access controls. The target caslib must also have a global scope.

Default	False

"replace":True | False

when set to True, overwrites an existing table that has the same name.

Default	False

"tableRedistUpPolicy":"DEFER" | "NOREDIST" | "REBALANCE"

Specifies the Table Redistribution Policy when the number of worker pods increases on a running CAS server.

DEFER

Defer redistribution policy selection to higher-level entity.

NOREDIST

Do not redistribute table data when the number of worker pods changes on a running CAS server.

REBALANCE

Rebalance table data when the number of worker pods changes on a running CAS server.

syncThreshold=double

Alias	threshold
Default	0.005
Range	0–1

table={_data}

specifies the input table that contains observations by time.

* "data":{castable}

specifies the name of the data table that contains observations.

For more information about specifying the data parameter, see the common castable (Form 1) parameter (Appendix A: Common Parameters).

variableLevels={_varlevels}

specifies the table of valid levels of nominal variables.

Alias	varLevels

The _varlevels value can be one or more of the following:

"data":{castable}

specifies the name of the levels data table.

For more information about specifying the data parameter, see the common castable (Form 1) parameter (Appendix A: Common Parameters).

"levelorder":"string"

specifies the name of the level order column in the levels data table.

Default	"levelorder"

"varlevel":"string"

specifies the name of the level column in the levels data table.

Default	"varlevel"

"varname":"string"

specifies the name of the variable column in the levels data table.

Default	"varname"

variableOdes={_varodes}

specifies the table of variables by systems of ordinary differential equations (ODEs). Each system has a unique group number.

Alias	varOdes

The _varodes value can be one or more of the following:

"data":{castable}

specifies the name of the data table of variables in ODE systems.

For more information about specifying the data parameter, see the common castable (Form 1) parameter (Appendix A: Common Parameters).

"system":"string"

specifies the name of the ODE system column of variables in the ODE systems data table.

Default	"system"

"varname":"string"

specifies the name of the variable column in the ODE systems data table.

Default	"varname"

variableRoles={_variables}

specifies the table of variables and their properties: TIMEID, CONTROL, HIDDEN, or OBSERVED.

Alias	varRoles

The _variables value can be one or more of the following:

* "data":{castable}

specifies the name of the variables data table.

For more information about specifying the data parameter, see the common castable (Form 1) parameter (Appendix A: Common Parameters).

"varname":"string"

specifies the name of the variable column in the variables data table.

Default	"varname"

"varorder":"string"

specifies the name of the order column in the variables data table.

Default	"varorder"

"varrole":"string"

specifies the name of the role column in the variables data table.

Default	"varrole"

variableSyncParms={_varsyncs}

specifies the table of parameters that are used in synchronizing beliefs of hidden interval variables for different values of hidden nominal variables.

Alias	varSyncs

The _varsyncs value can be one or more of the following:

"data":{castable}

specifies the name of the variable synchronization data table.

For more information about specifying the data parameter, see the common castable (Form 1) parameter (Appendix A: Common Parameters).

"intervalvar":"string"

specifies the name of the interval variable column in the variable synchronization data table.

Default	"intervalvar"

"mean":"string"

specifies the name of the mean column for synchronization of the interval variable or the probability of the nominal variable in the variable synchronization data table.

Default	"mean"

"nominalvar":"string"

specifies the name of the nominal variable column in the variable synchronization data table. The synchronization value of the interval variable can vary by levels of the nominal variables.

Default	"nominalvar"

"sdev":"string"

specifies the name of the standard deviation column for synchronization of the interval variable in the variable synchronization data table.

Default	"sdev"

"varlevel":"string"

specifies the name of the level column of the nominal variable in the variable synchronization data table.

Default	"varlevel"

dynBnet Action

Dynamic Bayesian Network Action.

R Syntax
Summary: Input and Output Tables
Parameter Descriptions

R Syntax

results <– cas.dynamicBayesianNetwork.dynBnet(s,

cliques=list(

data=list(

caslib="string"

computedOnDemand=TRUE | FALSE

computedVars=list( list(

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

) <, list(...)>)

computedVarsProgram="string"

dataSourceOptions=list(key-1=list(any-list-or-data-type-1) <, key-2=list(any-list-or-data-type-2), ...>)

groupBy=list( list(

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

) <, list(...)>)

groupByMode="NOSORT" | "REDISTRIBUTE"

name="table-name"

orderBy=list( list(

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

) <, list(...)>)

singlePass=TRUE | FALSE

vars=list( list(

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

) <, list(...)>)

where="where-expression"

whereTable=list(

casLib="string"

name="table-name"

vars=list( list(

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

) <, list(...)>)

where="where-expression"

)

id="string",

stage="string",

toid="string",

type="string",

varname="string"

initialBeliefs=list(

data=list(

caslib="string"

computedOnDemand=TRUE | FALSE

computedVars=list( list(

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

) <, list(...)>)

computedVarsProgram="string"

dataSourceOptions=list(key-1=list(any-list-or-data-type-1) <, key-2=list(any-list-or-data-type-2), ...>)

groupBy=list( list(

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

) <, list(...)>)

groupByMode="NOSORT" | "REDISTRIBUTE"

name="table-name"

orderBy=list( list(

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

) <, list(...)>)

singlePass=TRUE | FALSE

vars=list( list(

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

) <, list(...)>)

where="where-expression"

whereTable=list(

casLib="string"

name="table-name"

vars=list( list(

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

) <, list(...)>)

where="where-expression"

)

intervalvar="string",

mean="string",

nominalvar="string",

sdev="string",

varlevel="string"

inputState=list(

data=list(

caslib="string"

dataSourceOptions=list(key-1=list(any-list-or-data-type-1) <, key-2=list(any-list-or-data-type-2), ...>)

name="table-name"

whereTable=list(

casLib="string"

name="table-name"

vars=list( list(

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

) <, list(...)>)

where="where-expression"

)

linearApproximationType="EXTENDED" | "UNSCENTED",

links=list(

child="string",

data=list(

caslib="string"

computedOnDemand=TRUE | FALSE

computedVars=list( list(

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

) <, list(...)>)

computedVarsProgram="string"

dataSourceOptions=list(key-1=list(any-list-or-data-type-1) <, key-2=list(any-list-or-data-type-2), ...>)

groupBy=list( list(

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

) <, list(...)>)

groupByMode="NOSORT" | "REDISTRIBUTE"

name="table-name"

orderBy=list( list(

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

) <, list(...)>)

singlePass=TRUE | FALSE

vars=list( list(

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

) <, list(...)>)

where="where-expression"

whereTable=list(

casLib="string"

name="table-name"

vars=list( list(

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

) <, list(...)>)

where="where-expression"

)

parent="string",

stage="string"

odeApproximationType="ALL" | "GRADIENT" | "NONE",

output=list(

data=list(

caslib="string"

compress=TRUE | FALSE

indexVars=list("variable-name-1" <, "variable-name-2", ...>)

label="string"

lifetime=64-bit-integer

maxMemSize=64-bit-integer

memoryFormat="DVR" | "INHERIT" | "STANDARD"

name="table-name"

promote=TRUE | FALSE

replace=TRUE | FALSE

replication=integer

tableRedistUpPolicy="DEFER" | "NOREDIST" | "REBALANCE"

threadBlockSize=64-bit-integer

timeStamp="string"

where=list("string-1" <, "string-2", ...>)

)

outputCliques=list(

data=list(

caslib="string"

compress=TRUE | FALSE

indexVars=list("variable-name-1" <, "variable-name-2", ...>)

label="string"

lifetime=64-bit-integer

maxMemSize=64-bit-integer

memoryFormat="DVR" | "INHERIT" | "STANDARD"

name="table-name"

promote=TRUE | FALSE

replace=TRUE | FALSE

replication=integer

tableRedistUpPolicy="DEFER" | "NOREDIST" | "REBALANCE"

threadBlockSize=64-bit-integer

timeStamp="string"

where=list("string-1" <, "string-2", ...>)

)

outputDetails=list(

data=list(

caslib="string"

compress=TRUE | FALSE

indexVars=list("variable-name-1" <, "variable-name-2", ...>)

label="string"

lifetime=64-bit-integer

maxMemSize=64-bit-integer

memoryFormat="DVR" | "INHERIT" | "STANDARD"

name="table-name"

promote=TRUE | FALSE

replace=TRUE | FALSE

replication=integer

tableRedistUpPolicy="DEFER" | "NOREDIST" | "REBALANCE"

threadBlockSize=64-bit-integer

timeStamp="string"

where=list("string-1" <, "string-2", ...>)

)

outputState=list(

data=list(

caslib="string"

label="string"

lifetime=64-bit-integer

memoryFormat="DVR" | "INHERIT" | "STANDARD"

name="table-name"

promote=TRUE | FALSE

replace=TRUE | FALSE

tableRedistUpPolicy="DEFER" | "NOREDIST" | "REBALANCE"

)

syncThreshold=double,

table=list(

data=list(

caslib="string"

computedOnDemand=TRUE | FALSE

computedVars=list( list(

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

) <, list(...)>)

computedVarsProgram="string"

dataSourceOptions=list(key-1=list(any-list-or-data-type-1) <, key-2=list(any-list-or-data-type-2), ...>)

groupBy=list( list(

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

) <, list(...)>)

groupByMode="NOSORT" | "REDISTRIBUTE"

name="table-name"

orderBy=list( list(

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

) <, list(...)>)

singlePass=TRUE | FALSE

vars=list( list(

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

) <, list(...)>)

where="where-expression"

whereTable=list(

casLib="string"

name="table-name"

vars=list( list(

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

) <, list(...)>)

where="where-expression"

)

variableLevels=list(

data=list(

caslib="string"

computedOnDemand=TRUE | FALSE

computedVars=list( list(

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

) <, list(...)>)

computedVarsProgram="string"

dataSourceOptions=list(key-1=list(any-list-or-data-type-1) <, key-2=list(any-list-or-data-type-2), ...>)

groupBy=list( list(

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

) <, list(...)>)

groupByMode="NOSORT" | "REDISTRIBUTE"

name="table-name"

orderBy=list( list(

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

) <, list(...)>)

singlePass=TRUE | FALSE

vars=list( list(

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

) <, list(...)>)

where="where-expression"

whereTable=list(

casLib="string"

name="table-name"

vars=list( list(

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

) <, list(...)>)

where="where-expression"

)

levelorder="string",

varlevel="string",

varname="string"

variableOdes=list(

data=list(

caslib="string"

computedOnDemand=TRUE | FALSE

computedVars=list( list(

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

) <, list(...)>)

computedVarsProgram="string"

dataSourceOptions=list(key-1=list(any-list-or-data-type-1) <, key-2=list(any-list-or-data-type-2), ...>)

groupBy=list( list(

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

) <, list(...)>)

groupByMode="NOSORT" | "REDISTRIBUTE"

name="table-name"

orderBy=list( list(

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

) <, list(...)>)

singlePass=TRUE | FALSE

vars=list( list(

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

) <, list(...)>)

where="where-expression"

whereTable=list(

casLib="string"

name="table-name"

vars=list( list(

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

) <, list(...)>)

where="where-expression"

)

system="string",

varname="string"

variableRoles=list(

data=list(

caslib="string"

computedOnDemand=TRUE | FALSE

computedVars=list( list(

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

) <, list(...)>)

computedVarsProgram="string"

dataSourceOptions=list(key-1=list(any-list-or-data-type-1) <, key-2=list(any-list-or-data-type-2), ...>)

groupBy=list( list(

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

) <, list(...)>)

groupByMode="NOSORT" | "REDISTRIBUTE"

name="table-name"

orderBy=list( list(

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

) <, list(...)>)

singlePass=TRUE | FALSE

vars=list( list(

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

) <, list(...)>)

where="where-expression"

whereTable=list(

casLib="string"

name="table-name"

vars=list( list(

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

) <, list(...)>)

where="where-expression"

)

varname="string",

varorder="string",

varrole="string"

variableSyncParms=list(

data=list(

caslib="string"

computedOnDemand=TRUE | FALSE

computedVars=list( list(

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

) <, list(...)>)

computedVarsProgram="string"

dataSourceOptions=list(key-1=list(any-list-or-data-type-1) <, key-2=list(any-list-or-data-type-2), ...>)

groupBy=list( list(

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

) <, list(...)>)

groupByMode="NOSORT" | "REDISTRIBUTE"

name="table-name"

orderBy=list( list(

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

) <, list(...)>)

singlePass=TRUE | FALSE

vars=list( list(

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

) <, list(...)>)

where="where-expression"

whereTable=list(

casLib="string"

name="table-name"

vars=list( list(

format="string",

formattedLength=integer,

label="string",

name="variable-name",

nfd=integer,

nfl=integer

) <, list(...)>)

where="where-expression"

)

intervalvar="string",

mean="string",

nominalvar="string",

sdev="string",

varlevel="string"

)

Summary: Input and Output Tables

If a row includes a subparameter, you can specify the name, caslib, and so on in the subparameter. Otherwise, you can specify the name, caslib, and so on in the parameter.

Parameters for Reading Input Tables
Parameter	Subparameter	Description
cliques	data	specifies the table of the factors and the cliques that form the clique tree obtained by processing the Bayesian network of variables. A clique tree permits an exact two-pass belief propagation over the tree. If cliques are not supplied using this table, then the network is processed to form cliques, and output cliques are saved in this table for use in subsequent runs of the filter.
initialBeliefs	required parameterdata	specifies the table of incoming beliefs in hidden variables from the previous run of the filter.
inputState	data	specifies the table of input state.
links	required parameterdata	specifies the table of parent-child relationships among variables in a two-time-period network.
table	required parameterdata	specifies the input table that contains observations by time.
variableLevels	data	specifies the table of valid levels of nominal variables.
variableOdes	data	specifies the table of variables by systems of ordinary differential equations (ODEs). Each system has a unique group number.
variableRoles	required parameterdata	specifies the table of variables and their properties: TIMEID, CONTROL, HIDDEN, or OBSERVED.
variableSyncParms	data	specifies the table of parameters that are used in synchronizing beliefs of hidden interval variables for different values of hidden nominal variables.

Parameters for Creating Output Tables
Parameter	Subparameter	Description
output	data	specifies the table that contains the outgoing beliefs of hidden variables. Beliefs of interval variables differ by levels of nominal variables. This table provides the interval variable beliefs for the most probable levels of the nominal variables.
outputCliques	data	specifies the table that contains the cliques in the clique tree obtained by processing the Bayesian network.
outputDetails	data	specifies the table that contains the outgoing beliefs of hidden variables specific to the branches (values) of hidden nominal variables. Thus, this table provides beliefs of interval variables over less probable values of nominal variables as well.
outputState	data	specifies the table that saves the current state information.

Parameter Descriptions

cliques=list(_cliques)

The _cliques value can be one or more of the following:

data=list(castable)

specifies the name of the cliques data table.

For more information about specifying the data parameter, see the common castable (Form 1) parameter (Appendix A: Common Parameters).

id="string"

Default	"id"

stage="string"

Default	"stage"

toid="string"

specifies the name of the column that contains the ID of the clique that receives the message.

Default	"toid"

type="string"

specifies the name of the type column in the cliques data table, where the type parameter determines whether the ID parameter value corresponds to a clique or a factor.

Default	"type"

varname="string"

specifies the name of the variable column in the cliques data table, which is specified when the ID parameter value corresponds to a belief factor for a variable.

Default	"varname"

initialBeliefs=list(_initbeliefs)

specifies the table of incoming beliefs in hidden variables from the previous run of the filter.

Alias	initBeliefs

The _initbeliefs value can be one or more of the following:

* data=list(castable)

specifies the name of the initial beliefs data table.

For more information about specifying the data parameter, see the common castable (Form 1) parameter (Appendix A: Common Parameters).

intervalvar="string"

specifies the name of the interval variable column in the initial beliefs data table.

Default	"intervalvar"

mean="string"

specifies the name of the mean column of the interval variable or the probability of the nominal variable in the initial beliefs data table.

Default	"mean"

nominalvar="string"

specifies the name of the nominal variable column in the initial beliefs data table. The belief in the interval variable varies by levels of the nominal variables.

Default	"nominalvar"

sdev="string"

specifies the name of the standard deviation column of the interval variable in the initial beliefs data table.

Default	"sdev"

varlevel="string"

specifies the name of the level column of the nominal variable in the initial beliefs data table.

Default	"varlevel"

inputState=list(_instate)

specifies the table of input state.

data=list(castable)

specifies the name of the data table that contains input state.

The castable value can be one or more of the following:

caslib="string"

specifies the caslib for the input table that you want to use with the action. By default, the active caslib is used. Specify a value only if you need to access a table from a different caslib.

dataSourceOptions=list(key-1=list(any-list-or-data-type-1) <, key-2=list(any-list-or-data-type-2), ...>)

specifies data source options.

Aliases	options
Aliases	dataSource

* name="table-name"

specifies the name of the input table.

whereTable=list(groupbytable)

The groupbytable value can be one or more of the following:

casLib="string"

specifies the caslib for the filter table. By default, the active caslib is used.

dataSourceOptions=list(adls_noreq-parameters | bigquery-parameters | cas_noreq-parameters | clouddex-parameters | db2-parameters | dnfs-parameters | esp-parameters | fedsvr-parameters | gcs_noreq-parameters | hadoop-parameters | hana-parameters | impala-parameters | informix-parameters | jdbc-parameters | mongodb-parameters | mysql-parameters | odbc-parameters | oracle-parameters | path-parameters | postgres-parameters | redshift-parameters | s3-parameters | sapiq-parameters | sforce-parameters | singlestore_standard-parameters | snowflake-parameters | spark-parameters | spde-parameters | sqlserver-parameters | ss_noreq-parameters | teradata-parameters | vertica-parameters | yellowbrick-parameters)

specifies data source options.

Aliases	options
Aliases	dataSource

For more information about specifying the dataSourceOptions parameter, see the common dataSourceOptions parameter (Appendix A: Common Parameters).

importOptions=list(fileType="ANY" | "AUDIO" | "AUTO" | "BASESAS" | "CSV" | "DOCUMENT" | "DTA" | "ESP" | "EXCEL" | "FMT" | "HDAT" | "IMAGE" | "JMP" | "LASR" | "PARQUET" | "SPSS" | "VIDEO" | "XLS", fileType-specific-parameters)

specifies the settings for reading a table from a data source.

Alias	import

For more information about specifying the importOptions parameter, see the common importOptions parameter (Appendix A: Common Parameters).

* name="table-name"

specifies the name of the filter table.

vars=list( list(casinvardesc-1) <, list(casinvardesc-2), ...>)

specifies the variable names to use from the filter table.

The casinvardesc value can be one or more of the following:

format="string"

specifies the format to apply to the variable.

formattedLength=integer

specifies the length of the format field plus the length of the format precision.

label="string"

specifies the descriptive label for the variable.

* name="variable-name"

specifies the name for the variable.

nfd=integer

specifies the length of the format precision.

nfl=integer

specifies the length of the format field.

where="where-expression"

specifies an expression for subsetting the data from the filter table.

linearApproximationType="EXTENDED" | "UNSCENTED"

specifies the technique that is used to generate a linear approximation of the nonlinear relationships.

Alias	linApprox
Default	EXTENDED

EXTENDED

uses the extended method of linear approximation.

UNSCENTED

uses the unscented method of linear approximation.

links=list(_links)

specifies the table of parent-child relationships among variables in a two-time-period network.

The _links value can be one or more of the following:

child="string"

specifies the name of the child variable column in the links data table.

Default	"child"

* data=list(castable)

specifies the name of the links data table.

For more information about specifying the data parameter, see the common castable (Form 1) parameter (Appendix A: Common Parameters).

parent="string"

specifies the name of the parent variable column in the links data table.

Default	"parent"

stage="string"

specifies the name of the stage column in the links data table, where the value of the stage parameter is 1 for the current time period or 2 for the previous time period.

Default	"stage"

odeApproximationType="ALL" | "GRADIENT" | "NONE"

specifies which type of ordinary differential equation (ODE) approximation to use.

Alias	odeApprox
Default	GRADIENT

ALL

approximately solves the ODEs that are used in the mean and gradient calculations used in linearization.

GRADIENT

approximately solves the ODEs that are used in the gradient calculations used in linearization.

NONE

does not use any approximation to solve the ODEs that are used in the mean and gradient calculations used in linearization.

output=list(_output)

Alias	out

data=list(casouttable)

specifies the name of the output data table.

For more information about specifying the data parameter, see the common casouttable (Form 1) parameter (Appendix A: Common Parameters).

outputCliques=list(_outcliques)

specifies the table that contains the cliques in the clique tree obtained by processing the Bayesian network.

Alias	outcliques

data=list(casouttable)

specifies the name of the cliques data table.

For more information about specifying the data parameter, see the common casouttable (Form 1) parameter (Appendix A: Common Parameters).

outputDetails=list(_outdetails)

Alias	outdetails

data=list(casouttable)

specifies the name of the output details data table.

For more information about specifying the data parameter, see the common casouttable (Form 1) parameter (Appendix A: Common Parameters).

outputState=list(_outstate)

specifies the table that saves the current state information.

data=list(casouttable)

specifies the name of the data table that saves the current state information.

The casouttable value can be one or more of the following:

caslib="string"

specifies the name of the caslib for the output table.

label="string"

specifies the descriptive label to associate with the table.

lifetime=64-bit-integer

specifies the number of seconds to keep the table in memory after it is last accessed. The table is dropped if it is not accessed for the specified number of seconds.

Default	0
Minimum value	0

memoryFormat="DVR" | "INHERIT" | "STANDARD"

specifies the memory format for the output table.

Default	INHERIT

DVR

use the duplicate value reduction memory format. This memory format can reduce the memory consumption and file size when the input data contains duplicate values.

INHERIT

STANDARD

use the standard memory format.

name="table-name"

specifies the name for the output table.

promote=TRUE | FALSE

when set to True, adds the output table with a global scope. This enables other sessions to access the table, subject to access controls. The target caslib must also have a global scope.

Default	FALSE

replace=TRUE | FALSE

when set to True, overwrites an existing table that has the same name.

Default	FALSE

tableRedistUpPolicy="DEFER" | "NOREDIST" | "REBALANCE"

Specifies the Table Redistribution Policy when the number of worker pods increases on a running CAS server.

DEFER

Defer redistribution policy selection to higher-level entity.

NOREDIST

Do not redistribute table data when the number of worker pods changes on a running CAS server.

REBALANCE

Rebalance table data when the number of worker pods changes on a running CAS server.

syncThreshold=double

Alias	threshold
Default	0.005
Range	0–1

table=list(_data)

specifies the input table that contains observations by time.

* data=list(castable)

specifies the name of the data table that contains observations.

For more information about specifying the data parameter, see the common castable (Form 1) parameter (Appendix A: Common Parameters).

variableLevels=list(_varlevels)

specifies the table of valid levels of nominal variables.

Alias	varLevels

The _varlevels value can be one or more of the following:

data=list(castable)

specifies the name of the levels data table.

For more information about specifying the data parameter, see the common castable (Form 1) parameter (Appendix A: Common Parameters).

levelorder="string"

specifies the name of the level order column in the levels data table.

Default	"levelorder"

varlevel="string"

specifies the name of the level column in the levels data table.

Default	"varlevel"

varname="string"

specifies the name of the variable column in the levels data table.

Default	"varname"

variableOdes=list(_varodes)

specifies the table of variables by systems of ordinary differential equations (ODEs). Each system has a unique group number.

Alias	varOdes

The _varodes value can be one or more of the following:

data=list(castable)

specifies the name of the data table of variables in ODE systems.

For more information about specifying the data parameter, see the common castable (Form 1) parameter (Appendix A: Common Parameters).

system="string"

specifies the name of the ODE system column of variables in the ODE systems data table.

Default	"system"

varname="string"

specifies the name of the variable column in the ODE systems data table.

Default	"varname"

variableRoles=list(_variables)

specifies the table of variables and their properties: TIMEID, CONTROL, HIDDEN, or OBSERVED.

Alias	varRoles

The _variables value can be one or more of the following:

* data=list(castable)

specifies the name of the variables data table.

For more information about specifying the data parameter, see the common castable (Form 1) parameter (Appendix A: Common Parameters).

varname="string"

specifies the name of the variable column in the variables data table.

Default	"varname"

varorder="string"

specifies the name of the order column in the variables data table.

Default	"varorder"

varrole="string"

specifies the name of the role column in the variables data table.

Default	"varrole"

variableSyncParms=list(_varsyncs)

specifies the table of parameters that are used in synchronizing beliefs of hidden interval variables for different values of hidden nominal variables.

Alias	varSyncs

The _varsyncs value can be one or more of the following:

data=list(castable)

specifies the name of the variable synchronization data table.

For more information about specifying the data parameter, see the common castable (Form 1) parameter (Appendix A: Common Parameters).

intervalvar="string"

specifies the name of the interval variable column in the variable synchronization data table.

Default	"intervalvar"

mean="string"

specifies the name of the mean column for synchronization of the interval variable or the probability of the nominal variable in the variable synchronization data table.

Default	"mean"

nominalvar="string"

specifies the name of the nominal variable column in the variable synchronization data table. The synchronization value of the interval variable can vary by levels of the nominal variables.

Default	"nominalvar"

sdev="string"

specifies the name of the standard deviation column for synchronization of the interval variable in the variable synchronization data table.

Default	"sdev"

varlevel="string"

specifies the name of the level column of the nominal variable in the variable synchronization data table.

Default	"varlevel"

Last updated: November 23, 2025