Independent Component Analysis Action Set

Provides actions for performing independent component analysis

fastIca Action

Computes independent components by using the fastICA method.

CASL Syntax

ica.fastIca <result=results> <status=rc> /
attributes={{
format="string",
formattedLength=integer,
label="string",
required parameter name="variable-name",
nfd=integer,
nfl=integer
}, {...}},
display={
caseSensitive=TRUE | FALSE,
exclude=TRUE | FALSE,
excludeAll=TRUE | FALSE,
keyIsPath=TRUE | FALSE,
names={"string-1" <, "string-2", ...>},
pathType="LABEL" | "NAME",
traceNames=TRUE | FALSE
},
eigenThreshold=double,
gFunction="EXP" | "LOGCOSH",
groupByLimit=64-bit-integer,
inputs={{
format="string",
formattedLength=integer,
label="string",
required parameter name="variable-name",
nfd=integer,
nfl=integer
}, {...}},
required parameter method={
maxIter=integer,
required parameter name="DEFLATION" | "SYMMETRIC",
tolerance=double
},
n=integer,
noCenter=TRUE | FALSE,
noScale=TRUE | FALSE,
output={
required parameter casOut={
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", ...>}
},
component="string",
copyVars={"variable-name-1" <, "variable-name-2", ...>},
white="string"
},
outputTables={
groupByVarsRaw=TRUE | FALSE,
includeAll=TRUE | FALSE,
names={"string-1" <, "string-2", ...>} | {key-1={casouttable-1} <, key-2={casouttable-2}, ...>},
repeated=TRUE | FALSE,
replace=TRUE | FALSE
},
prefix="string",
seed=integer,
required parameter table={
caslib="string",
computedOnDemand=TRUE | FALSE,
computedVars={{
format="string",
formattedLength=integer,
label="string",
required parameter 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",
required parameter 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},
required parameter name="table-name",
orderBy={{
format="string",
formattedLength=integer,
label="string",
required parameter name="variable-name",
nfd=integer,
nfl=integer
}, {...}},
singlePass=TRUE | FALSE,
vars={{
format="string",
formattedLength=integer,
label="string",
required parameter 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}
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}
required parameter name="table-name"
vars={{
format="string",
formattedLength=integer,
label="string",
required parameter name="variable-name",
nfd=integer,
nfl=integer
}, {...}}
where="where-expression"
}
},
whitePrefix="string"
;
indicates a required parameter

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

required parametertable

—

specifies the settings for an input table.
Parameters for Creating Output Tables

Parameter

Subparameter

Description

 output

required parametercasOut

specifies the output table to be created to contain observationwise statistics. If you do not specify any statistic, then only the independent components are included.

 outputTables

names

lists the names of results tables to save as CAS tables on the server.

Parameter Descriptions

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

changes the attributes of variables used in this action. Currently, attributes specified on the inputs and nominals parameter are ignored.

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

Aliases attribute
attr

display={displayTables}

specifies a list of results tables to send to the client for display.

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

eigenThreshold=double

specifies the threshold for the proportion of variance that is explained by eigenvalues. If the proportion of variance that an eigenvalue explains is less than the threshold, the eigenvalue is discarded in the analysis.

Alias eigThresh
Default 0
Range 0–1

gFunction="EXP" | "LOGCOSH"

specifies the nonquadratic function to be used in the approximation of negentropy.

Alias gFunc
Default LOGCOSH
EXP

uses the exponential function.

LOGCOSH

uses the log-cosh function.

groupByLimit=64-bit-integer

suppresses analysis if the number of BY groups exceeds the specified value.

Minimum value 1

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

specifies the numeric variables to be analyzed. If you omit the parameter, all numeric variables that are not specified in other parameters are analyzed.

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

Aliases input
vars
var

* method={fastIca_method}

specifies the settings for the component extraction method.

Long form method={name="DEFLATION" | "SYMMETRIC"}
Shortcut form method="DEFLATION" | "SYMMETRIC"

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

maxIter=integer

specifies the maximum number of iterations to perform.

Default 500
Range 1–MACINT
* name="DEFLATION" | "SYMMETRIC"

specifies the name of the component extraction method to use.

DEFLATION

uses deflationary decorrelation.

SYMMETRIC

uses symmetric decorrelation.

tolerance=double

specifies the convergence criterion.

Alias tol
Default 0.0001
Range 0–1

n=integer

specifies the number of independent components to be computed. If the value is 0, the number of independent components to be computed is the same as the number of numeric variables to be analyzed.

Default 0
Minimum value 0

noCenter=TRUE | FALSE

when set to True, suppresses centering of the numeric variables to be analyzed.

Default FALSE

noScale=TRUE | FALSE

when set to True, suppresses scaling of the numeric variables to be analyzed.

Default FALSE

output={fastIca_output}

specifies the output table to be created to contain observationwise statistics. If you do not specify any statistic, then only the independent components are included.

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

* casOut={casouttable}

specifies the output table.

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

component="string"

specifies the source values for each independent component. If the value is an empty string, the string that is specified in the prefix parameter is used to name the output variables.

Alias comp
copyVars={"variable-name-1" <, "variable-name-2", ...>}

copies one or more variables from the input table to the output table.

Alias copyVar
white="string"

specifies the source values for each whitened variable. If the value is an empty string, the string that is specified in the whitePrefix parameter is used to name the output variables.

outputTables={outputTables}

lists the names of results tables to save as CAS tables on the server.

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

Alias displayOut

prefix="string"

specifies a prefix for naming the independent components.

Default "Comp"

seed=integer

specifies the seed value for pseudorandom number generation.

Default 0

* table={castable}

specifies the settings for an input table.

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

whitePrefix="string"

specifies a prefix for naming the whitened variables.

Alias wPrefix
Default "White"

fastIca Action

Computes independent components by using the fastICA method.

Lua Syntax

results, info = s:ica_fastIca{
attributes={{
format="string",
formattedLength=integer,
label="string",
required parameter name="variable-name",
nfd=integer,
nfl=integer
}, {...}},
display={
caseSensitive=true | false,
exclude=true | false,
excludeAll=true | false,
keyIsPath=true | false,
names={"string-1" <, "string-2", ...>},
pathType="LABEL" | "NAME",
traceNames=true | false
},
eigenThreshold=double,
gFunction="EXP" | "LOGCOSH",
groupByLimit=64-bit-integer,
inputs={{
format="string",
formattedLength=integer,
label="string",
required parameter name="variable-name",
nfd=integer,
nfl=integer
}, {...}},
required parameter method={
maxIter=integer,
required parameter name="DEFLATION" | "SYMMETRIC",
tolerance=double
},
n=integer,
noCenter=true | false,
noScale=true | false,
output={
required parameter casOut={
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", ...>}
},
component="string",
copyVars={"variable-name-1" <, "variable-name-2", ...>},
white="string"
},
outputTables={
groupByVarsRaw=true | false,
includeAll=true | false,
names={"string-1" <, "string-2", ...>} | {key-1={casouttable-1} <, key-2={casouttable-2}, ...>},
repeated=true | false,
replace=true | false
},
prefix="string",
seed=integer,
required parameter table={
caslib="string",
computedOnDemand=true | false,
computedVars={{
format="string",
formattedLength=integer,
label="string",
required parameter 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",
required parameter 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},
required parameter name="table-name",
orderBy={{
format="string",
formattedLength=integer,
label="string",
required parameter name="variable-name",
nfd=integer,
nfl=integer
}, {...}},
singlePass=true | false,
vars={{
format="string",
formattedLength=integer,
label="string",
required parameter 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}
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}
required parameter name="table-name"
vars={{
format="string",
formattedLength=integer,
label="string",
required parameter name="variable-name",
nfd=integer,
nfl=integer
}, {...}}
where="where-expression"
}
},
whitePrefix="string"
}
indicates a required parameter

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

required parametertable

—

specifies the settings for an input table.
Parameters for Creating Output Tables

Parameter

Subparameter

Description

 output

required parametercasOut

specifies the output table to be created to contain observationwise statistics. If you do not specify any statistic, then only the independent components are included.

 outputTables

names

lists the names of results tables to save as CAS tables on the server.

Parameter Descriptions

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

changes the attributes of variables used in this action. Currently, attributes specified on the inputs and nominals parameter are ignored.

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

Aliases attribute
attr

display={displayTables}

specifies a list of results tables to send to the client for display.

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

eigenThreshold=double

specifies the threshold for the proportion of variance that is explained by eigenvalues. If the proportion of variance that an eigenvalue explains is less than the threshold, the eigenvalue is discarded in the analysis.

Alias eigThresh
Default 0
Range 0–1

gFunction="EXP" | "LOGCOSH"

specifies the nonquadratic function to be used in the approximation of negentropy.

Alias gFunc
Default LOGCOSH
EXP

uses the exponential function.

LOGCOSH

uses the log-cosh function.

groupByLimit=64-bit-integer

suppresses analysis if the number of BY groups exceeds the specified value.

Minimum value 1

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

specifies the numeric variables to be analyzed. If you omit the parameter, all numeric variables that are not specified in other parameters are analyzed.

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

Aliases input
vars
var

* method={fastIca_method}

specifies the settings for the component extraction method.

Long form method={name="DEFLATION" | "SYMMETRIC"}
Shortcut form method="DEFLATION" | "SYMMETRIC"

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

maxIter=integer

specifies the maximum number of iterations to perform.

Default 500
Range 1–MACINT
* name="DEFLATION" | "SYMMETRIC"

specifies the name of the component extraction method to use.

DEFLATION

uses deflationary decorrelation.

SYMMETRIC

uses symmetric decorrelation.

tolerance=double

specifies the convergence criterion.

Alias tol
Default 0.0001
Range 0–1

n=integer

specifies the number of independent components to be computed. If the value is 0, the number of independent components to be computed is the same as the number of numeric variables to be analyzed.

Default 0
Minimum value 0

noCenter=true | false

when set to True, suppresses centering of the numeric variables to be analyzed.

Default false

noScale=true | false

when set to True, suppresses scaling of the numeric variables to be analyzed.

Default false

output={fastIca_output}

specifies the output table to be created to contain observationwise statistics. If you do not specify any statistic, then only the independent components are included.

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

* casOut={casouttable}

specifies the output table.

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

component="string"

specifies the source values for each independent component. If the value is an empty string, the string that is specified in the prefix parameter is used to name the output variables.

Alias comp
copyVars={"variable-name-1" <, "variable-name-2", ...>}

copies one or more variables from the input table to the output table.

Alias copyVar
white="string"

specifies the source values for each whitened variable. If the value is an empty string, the string that is specified in the whitePrefix parameter is used to name the output variables.

outputTables={outputTables}

lists the names of results tables to save as CAS tables on the server.

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

Alias displayOut

prefix="string"

specifies a prefix for naming the independent components.

Default "Comp"

seed=integer

specifies the seed value for pseudorandom number generation.

Default 0

* table={castable}

specifies the settings for an input table.

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

whitePrefix="string"

specifies a prefix for naming the whitened variables.

Alias wPrefix
Default "White"

fastIca Action

Computes independent components by using the fastICA method.

Python Syntax

results=s.ica.fastIca(
attributes=[{
"format":"string",
"formattedLength":integer,
"label":"string",
required parameter "name":"variable-name",
"nfd":integer,
"nfl":integer
}<, {...}>],
display={
"caseSensitive":True | False,
"exclude":True | False,
"excludeAll":True | False,
"keyIsPath":True | False,
"names":["string-1" <, "string-2", ...>],
"pathType":"LABEL" | "NAME",
"traceNames":True | False
},
eigenThreshold=double,
gFunction="EXP" | "LOGCOSH",
groupByLimit=64-bit-integer,
inputs=[{
"format":"string",
"formattedLength":integer,
"label":"string",
required parameter "name":"variable-name",
"nfd":integer,
"nfl":integer
}<, {...}>],
required parameter method={
"maxIter":integer,
required parameter "name":"DEFLATION" | "SYMMETRIC",
"tolerance":double
},
n=integer,
noCenter=True | False,
noScale=True | False,
output={
required parameter "casOut":{
"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", ...>]
},
"component":"string",
"copyVars":["variable-name-1" <, "variable-name-2", ...>],
"white":"string"
},
outputTables={
"groupByVarsRaw":True | False,
"includeAll":True | False,
"names":["string-1" <, "string-2", ...>] | {"key-1":{casouttable-1} <, "key-2":{casouttable-2}, ...>},
"repeated":True | False,
"replace":True | False
},
prefix="string",
seed=integer,
required parameter table={
"caslib":"string",
"computedOnDemand":True | False,
"computedVars":[{
"format":"string",
"formattedLength":integer,
"label":"string",
required parameter "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",
required parameter "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},
required parameter "name":"table-name",
"orderBy":[{
"format":"string",
"formattedLength":integer,
"label":"string",
required parameter "name":"variable-name",
"nfd":integer,
"nfl":integer
}<, {...}>],
"singlePass":True | False,
"vars":[{
"format":"string",
"formattedLength":integer,
"label":"string",
required parameter "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}
"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}
required parameter "name":"table-name"
"vars":[{
"format":"string",
"formattedLength":integer,
"label":"string",
required parameter "name":"variable-name",
"nfd":integer,
"nfl":integer
}<, {...}>]
"where":"where-expression"
}
},
whitePrefix="string"
)
indicates a required parameter

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

required parametertable

—

specifies the settings for an input table.
Parameters for Creating Output Tables

Parameter

Subparameter

Description

 output

required parametercasOut

specifies the output table to be created to contain observationwise statistics. If you do not specify any statistic, then only the independent components are included.

 outputTables

names

lists the names of results tables to save as CAS tables on the server.

Parameter Descriptions

attributes=[{casinvardesc-1} <, {casinvardesc-2}, ...>]

changes the attributes of variables used in this action. Currently, attributes specified on the inputs and nominals parameter are ignored.

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

Aliases attribute
attr

display={displayTables}

specifies a list of results tables to send to the client for display.

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

eigenThreshold=double

specifies the threshold for the proportion of variance that is explained by eigenvalues. If the proportion of variance that an eigenvalue explains is less than the threshold, the eigenvalue is discarded in the analysis.

Alias eigThresh
Default 0
Range 0–1

gFunction="EXP" | "LOGCOSH"

specifies the nonquadratic function to be used in the approximation of negentropy.

Alias gFunc
Default LOGCOSH
EXP

uses the exponential function.

LOGCOSH

uses the log-cosh function.

groupByLimit=64-bit-integer

suppresses analysis if the number of BY groups exceeds the specified value.

Minimum value 1

inputs=[{casinvardesc-1} <, {casinvardesc-2}, ...>]

specifies the numeric variables to be analyzed. If you omit the parameter, all numeric variables that are not specified in other parameters are analyzed.

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

Aliases input
vars
var

* method={fastIca_method}

specifies the settings for the component extraction method.

Long form method={"name":"DEFLATION" | "SYMMETRIC"}
Shortcut form method="DEFLATION" | "SYMMETRIC"

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

"maxIter":integer

specifies the maximum number of iterations to perform.

Default 500
Range 1–MACINT
* "name":"DEFLATION" | "SYMMETRIC"

specifies the name of the component extraction method to use.

DEFLATION

uses deflationary decorrelation.

SYMMETRIC

uses symmetric decorrelation.

"tolerance":double

specifies the convergence criterion.

Alias tol
Default 0.0001
Range 0–1

n=integer

specifies the number of independent components to be computed. If the value is 0, the number of independent components to be computed is the same as the number of numeric variables to be analyzed.

Default 0
Minimum value 0

noCenter=True | False

when set to True, suppresses centering of the numeric variables to be analyzed.

Default False

noScale=True | False

when set to True, suppresses scaling of the numeric variables to be analyzed.

Default False

output={fastIca_output}

specifies the output table to be created to contain observationwise statistics. If you do not specify any statistic, then only the independent components are included.

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

* "casOut":{casouttable}

specifies the output table.

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

"component":"string"

specifies the source values for each independent component. If the value is an empty string, the string that is specified in the prefix parameter is used to name the output variables.

Alias comp
"copyVars":["variable-name-1" <, "variable-name-2", ...>]

copies one or more variables from the input table to the output table.

Alias copyVar
"white":"string"

specifies the source values for each whitened variable. If the value is an empty string, the string that is specified in the whitePrefix parameter is used to name the output variables.

outputTables={outputTables}

lists the names of results tables to save as CAS tables on the server.

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

Alias displayOut

prefix="string"

specifies a prefix for naming the independent components.

Default "Comp"

seed=integer

specifies the seed value for pseudorandom number generation.

Default 0

* table={castable}

specifies the settings for an input table.

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

whitePrefix="string"

specifies a prefix for naming the whitened variables.

Alias wPrefix
Default "White"

fastIca Action

Computes independent components by using the fastICA method.

R Syntax

results <– cas.ica.fastIca(s,
attributes=list( list(
format="string",
formattedLength=integer,
label="string",
required parameter name="variable-name",
nfd=integer,
nfl=integer
) <, list(...)>),
display=list(
caseSensitive=TRUE | FALSE,
exclude=TRUE | FALSE,
excludeAll=TRUE | FALSE,
keyIsPath=TRUE | FALSE,
names=list("string-1" <, "string-2", ...>),
pathType="LABEL" | "NAME",
traceNames=TRUE | FALSE
),
eigenThreshold=double,
gFunction="EXP" | "LOGCOSH",
groupByLimit=64-bit-integer,
inputs=list( list(
format="string",
formattedLength=integer,
label="string",
required parameter name="variable-name",
nfd=integer,
nfl=integer
) <, list(...)>),
required parameter method=list(
maxIter=integer,
required parameter name="DEFLATION" | "SYMMETRIC",
tolerance=double
),
n=integer,
noCenter=TRUE | FALSE,
noScale=TRUE | FALSE,
output=list(
required parameter casOut=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", ...>)
),
component="string",
copyVars=list("variable-name-1" <, "variable-name-2", ...>),
white="string"
),
outputTables=list(
groupByVarsRaw=TRUE | FALSE,
includeAll=TRUE | FALSE,
names=list("string-1" <, "string-2", ...>) | list(key-1=list(casouttable-1) <, key-2=list(casouttable-2), ...>),
repeated=TRUE | FALSE,
replace=TRUE | FALSE
),
prefix="string",
seed=integer,
required parameter table=list(
caslib="string",
computedOnDemand=TRUE | FALSE,
computedVars=list( list(
format="string",
formattedLength=integer,
label="string",
required parameter 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",
required parameter name="variable-name",
nfd=integer,
nfl=integer
) <, list(...)>),
groupByMode="NOSORT" | "REDISTRIBUTE",
importOptions=list(fileType="ANY" | "AUDIO" | "AUTO" | "BASESAS" | "CSV" | "DELIMITED" | "DOCUMENT" | "DTA" | "ESP" | "EXCEL" | "FMT" | "HDAT" | "IMAGE" | "JMP" | "LASR" | "PARQUET" | "SOUND" | "SPSS" | "VIDEO" | "XLS", fileType-specific-parameters),
required parameter name="table-name",
orderBy=list( list(
format="string",
formattedLength=integer,
label="string",
required parameter name="variable-name",
nfd=integer,
nfl=integer
) <, list(...)>),
singlePass=TRUE | FALSE,
vars=list( list(
format="string",
formattedLength=integer,
label="string",
required parameter name="variable-name",
nfd=integer,
nfl=integer
) <, list(...)>),
where="where-expression",
whereTable=list(
casLib="string"
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)
importOptions=list(fileType="ANY" | "AUDIO" | "AUTO" | "BASESAS" | "CSV" | "DELIMITED" | "DOCUMENT" | "DTA" | "ESP" | "EXCEL" | "FMT" | "HDAT" | "IMAGE" | "JMP" | "LASR" | "PARQUET" | "SOUND" | "SPSS" | "VIDEO" | "XLS", fileType-specific-parameters)
required parameter name="table-name"
vars=list( list(
format="string",
formattedLength=integer,
label="string",
required parameter name="variable-name",
nfd=integer,
nfl=integer
) <, list(...)>)
where="where-expression"
)
),
whitePrefix="string"
)
indicates a required parameter

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

required parametertable

—

specifies the settings for an input table.
Parameters for Creating Output Tables

Parameter

Subparameter

Description

 output

required parametercasOut

specifies the output table to be created to contain observationwise statistics. If you do not specify any statistic, then only the independent components are included.

 outputTables

names

lists the names of results tables to save as CAS tables on the server.

Parameter Descriptions

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

changes the attributes of variables used in this action. Currently, attributes specified on the inputs and nominals parameter are ignored.

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

Aliases attribute
attr

display=list(displayTables)

specifies a list of results tables to send to the client for display.

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

eigenThreshold=double

specifies the threshold for the proportion of variance that is explained by eigenvalues. If the proportion of variance that an eigenvalue explains is less than the threshold, the eigenvalue is discarded in the analysis.

Alias eigThresh
Default 0
Range 0–1

gFunction="EXP" | "LOGCOSH"

specifies the nonquadratic function to be used in the approximation of negentropy.

Alias gFunc
Default LOGCOSH
EXP

uses the exponential function.

LOGCOSH

uses the log-cosh function.

groupByLimit=64-bit-integer

suppresses analysis if the number of BY groups exceeds the specified value.

Minimum value 1

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

specifies the numeric variables to be analyzed. If you omit the parameter, all numeric variables that are not specified in other parameters are analyzed.

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

Aliases input
vars
var

* method=list(fastIca_method)

specifies the settings for the component extraction method.

Long form method=list(name="DEFLATION" | "SYMMETRIC")
Shortcut form method="DEFLATION" | "SYMMETRIC"

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

maxIter=integer

specifies the maximum number of iterations to perform.

Default 500
Range 1–MACINT
* name="DEFLATION" | "SYMMETRIC"

specifies the name of the component extraction method to use.

DEFLATION

uses deflationary decorrelation.

SYMMETRIC

uses symmetric decorrelation.

tolerance=double

specifies the convergence criterion.

Alias tol
Default 0.0001
Range 0–1

n=integer

specifies the number of independent components to be computed. If the value is 0, the number of independent components to be computed is the same as the number of numeric variables to be analyzed.

Default 0
Minimum value 0

noCenter=TRUE | FALSE

when set to True, suppresses centering of the numeric variables to be analyzed.

Default FALSE

noScale=TRUE | FALSE

when set to True, suppresses scaling of the numeric variables to be analyzed.

Default FALSE

output=list(fastIca_output)

specifies the output table to be created to contain observationwise statistics. If you do not specify any statistic, then only the independent components are included.

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

* casOut=list(casouttable)

specifies the output table.

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

component="string"

specifies the source values for each independent component. If the value is an empty string, the string that is specified in the prefix parameter is used to name the output variables.

Alias comp
copyVars=list("variable-name-1" <, "variable-name-2", ...>)

copies one or more variables from the input table to the output table.

Alias copyVar
white="string"

specifies the source values for each whitened variable. If the value is an empty string, the string that is specified in the whitePrefix parameter is used to name the output variables.

outputTables=list(outputTables)

lists the names of results tables to save as CAS tables on the server.

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

Alias displayOut

prefix="string"

specifies a prefix for naming the independent components.

Default "Comp"

seed=integer

specifies the seed value for pseudorandom number generation.

Default 0

* table=list(castable)

specifies the settings for an input table.

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

whitePrefix="string"

specifies a prefix for naming the whitened variables.

Alias wPrefix
Default "White"
Last updated: March 05, 2026