Data Science Pilot Action Set

Provides actions for automating data science workflows, including automatic machine learning pipeline exploration, execution and ranking.

screenVariables Action

Screens noise variables and variables that need special transformations to be useful in the downstream analytics..

CASL Syntax

dataSciencePilot.screenVariables <result=results> <status=rc> /
required parameter casOut={
caslib="string",
indexVars={"variable-name-1" <, "variable-name-2", ...>},
lifetime=64-bit-integer,
name="table-name",
promote=TRUE | FALSE,
replace=TRUE | FALSE,
},
ecdfTolerance=double,
freq="variable-name",
inputs={{
format="string",
formattedLength=integer,
label="string",
required parameter name="variable-name",
nfd=integer,
nfl=integer
}, {...}},
misraGries=TRUE | FALSE,
nominals={"variable-name-1" <, "variable-name-2", ...>},
screenPolicy={
constant=TRUE | FALSE,
groupRareLevels=TRUE | FALSE,
lowCv=TRUE | FALSE,
redundant=double
},
required parameter table={
caslib="string",
computedOnDemand=TRUE | FALSE,
computedVars={{
format="string",
formattedLength=integer,
label="string",
required parameter name="variable-name",
nfd=integer,
nfl=integer
}, {...}},
dataSourceOptions={key-1=any-list-or-data-type-1 <, key-2=any-list-or-data-type-2, ...>},
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",
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"
}
},
required parameter target="variable-name",
weight="variable-name"
;
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 table name, caslib, and other common parameters.

Parameters for Creating Output Tables

Parameter

Subparameter

Description

required parametercasOut

specifies the CAS table to store the analysis results.

Parameter Descriptions

* casOut={casouttable}

specifies the CAS table to store the analysis results.

Long form casOut={name="table-name"}
Shortcut form casOut="table-name"

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

caslib="string"

specifies the name of the caslib for the output table.

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

specifies the list of variables to create indexes for in the output data.

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.

distinctCountLimit=integer

specifies the distinct count limit. If the limit is exceeded, and the misraGries parameter is set to True, the Misra-Gries frequency sketch algorithm is used to estimate the frequency distribution. Otherwise, the distinct count operation is aborted.

Default 10000
Minimum value 256

ecdfTolerance=double

specifies the tolerance value for the empirical cumulative distribution function. This value is used by the quantile sketch algorithm.

Default 0.001
Range 1E-06–0.1

freq="variable-name"

specifies the frequency variable.

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

specifies the variables to use for the analysis. You can specify a subset of the variables from the input table.

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

Alias vars

misraGries=TRUE | FALSE

when set to True, uses the Misra-Gries algorithm for the frequency distribution estimation, if the distinct count limit is exceeded.

Default TRUE

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

specifies the nominal variables.

screenPolicy={sweeperPolicy}

specifies the variable screening policy to use for recommending that variables be screened out, transformed, or copied.

Alias sweeperPolicy

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

constant=TRUE | FALSE

when set to True, uses the variable screening policy to identify variables that have constant values.

Alias unique
Default TRUE
groupRareLevels=TRUE | FALSE

when set to True, uses the variable screening policy to identify nominal variables that have rare levels.

Alias groupRare
Default TRUE
leakagePercentThreshold=double

specifies the variable screening policy for variables that have a very high level of information about the target. Variables that have a greater target entropy percentage reduction than the specified threshold are flagged as leakage variables.

Alias leakagePercentageThreshold
Default 90
Range (0–100]
lowCv=TRUE | FALSE

when set to True, uses the variable screening policy to identify variables that have a low coefficient of variation (CV).

Alias lowCoefficientVariation
Default TRUE
lowMutualInformation=double

specifies the variable screening policy for variables that have a low level of information about the target.

Alias lowInformation
Default 0.05
Minimum value 0
missingIndicatorPercent=double

specifies the variable screening policy for generating missing indicator variables.

Alias missingIndicatorPercentage
Default 75
Range [10–100)
missingPercentThreshold=double

specifies the variable screening policy for identifying variables that have a very high missing rate.

Alias missingPercentageThreshold
Default 90
Range [10–100)
redundant=double

specifies the symmetric uncertainty (SU) threshold for identifying redundant variables. If the SU for two variables exceeds the threshold, the variable that has less information about the target is flagged as redundant.

Default 1
Range (0–1]

* table={castable}

specifies the table name, caslib, and other common parameters.

Long form table={name="table-name"}
Shortcut form table="table-name"

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.

computedOnDemand=TRUE | FALSE

when set to True, creates the computed variables when the table is loaded instead of when the action begins.

Alias compOnDemand
Default FALSE
computedVars={{casinvardesc-1} <, {casinvardesc-2}, ...>}

specifies the names of the computed variables to create. Specify an expression for each variable in the computedVarsProgram parameter. If you do not specify this parameter, then all variables from computedVarsProgram are automatically included.

Alias compVars

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.

computedVarsProgram="string"

specifies an expression for each computed variable that you include in the computedVars parameter.

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

specifies data source options.

Aliases options
dataSource
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 input table.

singlePass=TRUE | FALSE

when set to True, does not create a transient table on the server. Setting this parameter to True can be efficient, but the data might not have stable ordering upon repeated runs.

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

specifies the variables to use in the action.

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 input data.

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
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.

* target="variable-name"

specifies the target variable.

Alias evalVar

weight="variable-name"

specifies the weight variable.

screenVariables Action

Screens noise variables and variables that need special transformations to be useful in the downstream analytics..

Lua Syntax

results, info = s:dataSciencePilot_screenVariables{
required parameter casOut={
caslib="string",
indexVars={"variable-name-1" <, "variable-name-2", ...>},
lifetime=64-bit-integer,
name="table-name",
promote=true | false,
replace=true | false,
},
ecdfTolerance=double,
freq="variable-name",
inputs={{
format="string",
formattedLength=integer,
label="string",
required parameter name="variable-name",
nfd=integer,
nfl=integer
}, {...}},
misraGries=true | false,
nominals={"variable-name-1" <, "variable-name-2", ...>},
screenPolicy={
constant=true | false,
groupRareLevels=true | false,
lowCv=true | false,
redundant=double
},
required parameter table={
caslib="string",
computedOnDemand=true | false,
computedVars={{
format="string",
formattedLength=integer,
label="string",
required parameter name="variable-name",
nfd=integer,
nfl=integer
}, {...}},
dataSourceOptions={key-1=any-list-or-data-type-1 <, key-2=any-list-or-data-type-2, ...>},
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",
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"
}
},
required parameter target="variable-name",
weight="variable-name"
}
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 table name, caslib, and other common parameters.

Parameters for Creating Output Tables

Parameter

Subparameter

Description

required parametercasOut

specifies the CAS table to store the analysis results.

Parameter Descriptions

* casOut={casouttable}

specifies the CAS table to store the analysis results.

Long form casOut={name="table-name"}
Shortcut form casOut="table-name"

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

caslib="string"

specifies the name of the caslib for the output table.

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

specifies the list of variables to create indexes for in the output data.

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.

distinctCountLimit=integer

specifies the distinct count limit. If the limit is exceeded, and the misraGries parameter is set to True, the Misra-Gries frequency sketch algorithm is used to estimate the frequency distribution. Otherwise, the distinct count operation is aborted.

Default 10000
Minimum value 256

ecdfTolerance=double

specifies the tolerance value for the empirical cumulative distribution function. This value is used by the quantile sketch algorithm.

Default 0.001
Range 1E-06–0.1

freq="variable-name"

specifies the frequency variable.

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

specifies the variables to use for the analysis. You can specify a subset of the variables from the input table.

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

Alias vars

misraGries=true | false

when set to True, uses the Misra-Gries algorithm for the frequency distribution estimation, if the distinct count limit is exceeded.

Default true

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

specifies the nominal variables.

screenPolicy={sweeperPolicy}

specifies the variable screening policy to use for recommending that variables be screened out, transformed, or copied.

Alias sweeperPolicy

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

constant=true | false

when set to True, uses the variable screening policy to identify variables that have constant values.

Alias unique
Default true
groupRareLevels=true | false

when set to True, uses the variable screening policy to identify nominal variables that have rare levels.

Alias groupRare
Default true
leakagePercentThreshold=double

specifies the variable screening policy for variables that have a very high level of information about the target. Variables that have a greater target entropy percentage reduction than the specified threshold are flagged as leakage variables.

Alias leakagePercentageThreshold
Default 90
Range (0–100]
lowCv=true | false

when set to True, uses the variable screening policy to identify variables that have a low coefficient of variation (CV).

Alias lowCoefficientVariation
Default true
lowMutualInformation=double

specifies the variable screening policy for variables that have a low level of information about the target.

Alias lowInformation
Default 0.05
Minimum value 0
missingIndicatorPercent=double

specifies the variable screening policy for generating missing indicator variables.

Alias missingIndicatorPercentage
Default 75
Range [10–100)
missingPercentThreshold=double

specifies the variable screening policy for identifying variables that have a very high missing rate.

Alias missingPercentageThreshold
Default 90
Range [10–100)
redundant=double

specifies the symmetric uncertainty (SU) threshold for identifying redundant variables. If the SU for two variables exceeds the threshold, the variable that has less information about the target is flagged as redundant.

Default 1
Range (0–1]

* table={castable}

specifies the table name, caslib, and other common parameters.

Long form table={name="table-name"}
Shortcut form table="table-name"

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.

computedOnDemand=true | false

when set to True, creates the computed variables when the table is loaded instead of when the action begins.

Alias compOnDemand
Default false
computedVars={{casinvardesc-1} <, {casinvardesc-2}, ...>}

specifies the names of the computed variables to create. Specify an expression for each variable in the computedVarsProgram parameter. If you do not specify this parameter, then all variables from computedVarsProgram are automatically included.

Alias compVars

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.

computedVarsProgram="string"

specifies an expression for each computed variable that you include in the computedVars parameter.

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

specifies data source options.

Aliases options
dataSource
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 input table.

singlePass=true | false

when set to True, does not create a transient table on the server. Setting this parameter to True can be efficient, but the data might not have stable ordering upon repeated runs.

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

specifies the variables to use in the action.

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 input data.

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
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.

* target="variable-name"

specifies the target variable.

Alias evalVar

weight="variable-name"

specifies the weight variable.

screenVariables Action

Screens noise variables and variables that need special transformations to be useful in the downstream analytics..

Python Syntax

results=s.dataSciencePilot.screenVariables(
required parameter casOut={
"caslib":"string",
"indexVars":["variable-name-1" <, "variable-name-2", ...>],
"lifetime":64-bit-integer,
"name":"table-name",
"promote":True | False,
"replace":True | False,
},
ecdfTolerance=double,
freq="variable-name",
inputs=[{
"format":"string",
"formattedLength":integer,
"label":"string",
required parameter "name":"variable-name",
"nfd":integer,
"nfl":integer
}<, {...}>],
misraGries=True | False,
nominals=["variable-name-1" <, "variable-name-2", ...>],
screenPolicy={
"constant":True | False,
"groupRareLevels":True | False,
"lowCv":True | False,
"redundant":double
},
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}, ...>},
"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",
"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"
}
},
required parameter target="variable-name",
weight="variable-name"
)
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 table name, caslib, and other common parameters.

Parameters for Creating Output Tables

Parameter

Subparameter

Description

required parametercasOut

specifies the CAS table to store the analysis results.

Parameter Descriptions

* casOut={casouttable}

specifies the CAS table to store the analysis results.

Long form casOut={"name":"table-name"}
Shortcut form casOut="table-name"

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

"caslib":"string"

specifies the name of the caslib for the output table.

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

specifies the list of variables to create indexes for in the output data.

"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.

distinctCountLimit=integer

specifies the distinct count limit. If the limit is exceeded, and the misraGries parameter is set to True, the Misra-Gries frequency sketch algorithm is used to estimate the frequency distribution. Otherwise, the distinct count operation is aborted.

Default 10000
Minimum value 256

ecdfTolerance=double

specifies the tolerance value for the empirical cumulative distribution function. This value is used by the quantile sketch algorithm.

Default 0.001
Range 1E-06–0.1

freq="variable-name"

specifies the frequency variable.

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

specifies the variables to use for the analysis. You can specify a subset of the variables from the input table.

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

Alias vars

misraGries=True | False

when set to True, uses the Misra-Gries algorithm for the frequency distribution estimation, if the distinct count limit is exceeded.

Default True

nominals=["variable-name-1" <, "variable-name-2", ...>]

specifies the nominal variables.

screenPolicy={sweeperPolicy}

specifies the variable screening policy to use for recommending that variables be screened out, transformed, or copied.

Alias sweeperPolicy

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

"constant":True | False

when set to True, uses the variable screening policy to identify variables that have constant values.

Alias unique
Default True
"groupRareLevels":True | False

when set to True, uses the variable screening policy to identify nominal variables that have rare levels.

Alias groupRare
Default True
"leakagePercentThreshold":double

specifies the variable screening policy for variables that have a very high level of information about the target. Variables that have a greater target entropy percentage reduction than the specified threshold are flagged as leakage variables.

Alias leakagePercentageThreshold
Default 90
Range (0–100]
"lowCv":True | False

when set to True, uses the variable screening policy to identify variables that have a low coefficient of variation (CV).

Alias lowCoefficientVariation
Default True
"lowMutualInformation":double

specifies the variable screening policy for variables that have a low level of information about the target.

Alias lowInformation
Default 0.05
Minimum value 0
"missingIndicatorPercent":double

specifies the variable screening policy for generating missing indicator variables.

Alias missingIndicatorPercentage
Default 75
Range [10–100)
"missingPercentThreshold":double

specifies the variable screening policy for identifying variables that have a very high missing rate.

Alias missingPercentageThreshold
Default 90
Range [10–100)
"redundant":double

specifies the symmetric uncertainty (SU) threshold for identifying redundant variables. If the SU for two variables exceeds the threshold, the variable that has less information about the target is flagged as redundant.

Default 1
Range (0–1]

* table={castable}

specifies the table name, caslib, and other common parameters.

Long form table={"name":"table-name"}
Shortcut form table="table-name"

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.

"computedOnDemand":True | False

when set to True, creates the computed variables when the table is loaded instead of when the action begins.

Alias compOnDemand
Default False
"computedVars":[{casinvardesc-1} <, {casinvardesc-2}, ...>]

specifies the names of the computed variables to create. Specify an expression for each variable in the computedVarsProgram parameter. If you do not specify this parameter, then all variables from computedVarsProgram are automatically included.

Alias compVars

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.

"computedVarsProgram":"string"

specifies an expression for each computed variable that you include in the computedVars parameter.

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

specifies data source options.

Aliases options
dataSource
"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 input table.

"singlePass":True | False

when set to True, does not create a transient table on the server. Setting this parameter to True can be efficient, but the data might not have stable ordering upon repeated runs.

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

specifies the variables to use in the action.

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 input data.

"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
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.

* target="variable-name"

specifies the target variable.

Alias evalVar

weight="variable-name"

specifies the weight variable.

screenVariables Action

Screens noise variables and variables that need special transformations to be useful in the downstream analytics..

R Syntax

results <– cas.dataSciencePilot.screenVariables(s,
required parameter casOut=list(
caslib="string",
indexVars=list("variable-name-1" <, "variable-name-2", ...>),
lifetime=64-bit-integer,
name="table-name",
promote=TRUE | FALSE,
replace=TRUE | FALSE,
),
ecdfTolerance=double,
freq="variable-name",
inputs=list( list(
format="string",
formattedLength=integer,
label="string",
required parameter name="variable-name",
nfd=integer,
nfl=integer
) <, list(...)>),
misraGries=TRUE | FALSE,
nominals=list("variable-name-1" <, "variable-name-2", ...>),
screenPolicy=list(
constant=TRUE | FALSE,
groupRareLevels=TRUE | FALSE,
lowCv=TRUE | FALSE,
redundant=double
),
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(...)>),
dataSourceOptions=list(key-1=list(any-list-or-data-type-1) <, key-2=list(any-list-or-data-type-2), ...>),
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",
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"
)
),
required parameter target="variable-name",
weight="variable-name"
)
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 table name, caslib, and other common parameters.

Parameters for Creating Output Tables

Parameter

Subparameter

Description

required parametercasOut

specifies the CAS table to store the analysis results.

Parameter Descriptions

* casOut=list(casouttable)

specifies the CAS table to store the analysis results.

Long form casOut=list(name="table-name")
Shortcut form casOut="table-name"

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

caslib="string"

specifies the name of the caslib for the output table.

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

specifies the list of variables to create indexes for in the output data.

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.

distinctCountLimit=integer

specifies the distinct count limit. If the limit is exceeded, and the misraGries parameter is set to True, the Misra-Gries frequency sketch algorithm is used to estimate the frequency distribution. Otherwise, the distinct count operation is aborted.

Default 10000
Minimum value 256

ecdfTolerance=double

specifies the tolerance value for the empirical cumulative distribution function. This value is used by the quantile sketch algorithm.

Default 0.001
Range 1E-06–0.1

freq="variable-name"

specifies the frequency variable.

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

specifies the variables to use for the analysis. You can specify a subset of the variables from the input table.

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

Alias vars

misraGries=TRUE | FALSE

when set to True, uses the Misra-Gries algorithm for the frequency distribution estimation, if the distinct count limit is exceeded.

Default TRUE

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

specifies the nominal variables.

screenPolicy=list(sweeperPolicy)

specifies the variable screening policy to use for recommending that variables be screened out, transformed, or copied.

Alias sweeperPolicy

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

constant=TRUE | FALSE

when set to True, uses the variable screening policy to identify variables that have constant values.

Alias unique
Default TRUE
groupRareLevels=TRUE | FALSE

when set to True, uses the variable screening policy to identify nominal variables that have rare levels.

Alias groupRare
Default TRUE
leakagePercentThreshold=double

specifies the variable screening policy for variables that have a very high level of information about the target. Variables that have a greater target entropy percentage reduction than the specified threshold are flagged as leakage variables.

Alias leakagePercentageThreshold
Default 90
Range (0–100]
lowCv=TRUE | FALSE

when set to True, uses the variable screening policy to identify variables that have a low coefficient of variation (CV).

Alias lowCoefficientVariation
Default TRUE
lowMutualInformation=double

specifies the variable screening policy for variables that have a low level of information about the target.

Alias lowInformation
Default 0.05
Minimum value 0
missingIndicatorPercent=double

specifies the variable screening policy for generating missing indicator variables.

Alias missingIndicatorPercentage
Default 75
Range [10–100)
missingPercentThreshold=double

specifies the variable screening policy for identifying variables that have a very high missing rate.

Alias missingPercentageThreshold
Default 90
Range [10–100)
redundant=double

specifies the symmetric uncertainty (SU) threshold for identifying redundant variables. If the SU for two variables exceeds the threshold, the variable that has less information about the target is flagged as redundant.

Default 1
Range (0–1]

* table=list(castable)

specifies the table name, caslib, and other common parameters.

Long form table=list(name="table-name")
Shortcut form table="table-name"

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.

computedOnDemand=TRUE | FALSE

when set to True, creates the computed variables when the table is loaded instead of when the action begins.

Alias compOnDemand
Default FALSE
computedVars=list( list(casinvardesc-1) <, list(casinvardesc-2), ...>)

specifies the names of the computed variables to create. Specify an expression for each variable in the computedVarsProgram parameter. If you do not specify this parameter, then all variables from computedVarsProgram are automatically included.

Alias compVars

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.

computedVarsProgram="string"

specifies an expression for each computed variable that you include in the computedVars parameter.

Alias compPgm
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
dataSource
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 input table.

singlePass=TRUE | FALSE

when set to True, does not create a transient table on the server. Setting this parameter to True can be efficient, but the data might not have stable ordering upon repeated runs.

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

specifies the variables to use in the action.

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 input data.

whereTable=list(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=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
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.

* target="variable-name"

specifies the target variable.

Alias evalVar

weight="variable-name"

specifies the weight variable.

Last updated: November 23, 2025