Support Vector Machine Action Set

Provides actions for support vector machines

svmTrain Action

Provides actions for support vector machines.

CASL Syntax

svm.svmTrain <result=results> <status=rc> /
applyRowOrder=TRUE | FALSE,
attributes={{
format="string",
formattedLength=integer,
label="string",
required parameter name="variable-name",
nfd=integer,
nfl=integer
}, {...}},
c=double,
code={
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"
onDemand=TRUE | FALSE
promote=TRUE | FALSE
replace=TRUE | FALSE
replication=integer
tableRedistUpPolicy="DEFER" | "NOREDIST" | "REBALANCE"
threadBlockSize=64-bit-integer
timeStamp="string"
where={"string-1" <, "string-2", ...>}
},
comment=TRUE | FALSE,
fmtWdth=integer,
indentSize=integer,
intoCutPt=double,
iProb=TRUE | FALSE,
labelId=integer,
lineSize=integer,
noTrim=TRUE | FALSE,
pCatAll=TRUE | FALSE,
tabForm=TRUE | FALSE
},
degree=integer,
earlyStop=TRUE | FALSE,
epsilon=double,
freq="variable-name",
id={"variable-name-1" <, "variable-name-2", ...>},
includeMissing=TRUE | FALSE,
inputs={{
format="string",
formattedLength=integer,
label="string",
required parameter name="variable-name",
nfd=integer,
nfl=integer
}, {...}},
iterationReport=TRUE | FALSE,
kernel="LINEAR" | "POLYNOMIAL" | "RBF" | "SIGMOID",
kernelParm=double,
kernelParm1=double,
kernelParm2=double,
maxiter=integer,
maxsv=integer,
method="ACTIVESET" | "CD" | "IPOINT",
nominals={{
format="string",
formattedLength=integer,
label="string",
required parameter name="variable-name",
nfd=integer,
nfl=integer
}, {...}},
noprint=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"
onDemand=TRUE | FALSE
promote=TRUE | FALSE
replace=TRUE | FALSE
replication=integer
tableRedistUpPolicy="DEFER" | "NOREDIST" | "REBALANCE"
threadBlockSize=64-bit-integer
timeStamp="string"
where={"string-1" <, "string-2", ...>}
},
copyVars="ALL" | "ALL_MODEL" | "ALL_NUMERIC" | {"variable-name-1" <, "variable-name-2", ...>}
},
partbyfrac={
seed=integer,
test=double,
validate=double
},
partbyvar={
required parameter name="variable-name",
test="string",
train="string",
validate="string"
},
printtarget=TRUE | FALSE,
regL1=double,
regL2=double,
savestate={
caslib="string",
label="string",
lifetime=64-bit-integer,
memoryFormat="DVR" | "INHERIT" | "STANDARD",
name="table-name",
promote=TRUE | FALSE,
replace=TRUE | FALSE,
tableRedistUpPolicy="DEFER" | "NOREDIST" | "REBALANCE"
},
seed=64-bit-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, ...>},
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"
}
},
target="variable-name",
tolerance=double,
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 settings for an input table.
Parameters for Creating Output Tables

Parameter

Subparameter

Description

 code

casOut

produces SAS score code.

 output

required parametercasOut

produces the training output table.

 savestate

—

specifies to the table in which to save the model for future scoring.

Parameter Descriptions

applyRowOrder=TRUE | FALSE

specifies that you wish that the action uses a prespecified row ordering. This requires using the orderby and groupby parameters on a preliminary table.partition action call. This parameter only affects training when the training method is CD.

Default FALSE

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

alters attributes on variables used in this action.

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

Alias attribute

c=double

specifies the penalty.

Default 1
Minimum value (exclusive) 0

code={aircodegen}

produces SAS score code.

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

degree=integer

specifies the degree of the polynomial kernel.

Default 1
Minimum value 1

earlyStop=TRUE | FALSE

when set to True, uses the validation data to determine whether to stop the iterations early.

Default FALSE

epsilon=double

specifies the insensitive loss parameter.

Default 0.01
Minimum value 0

freq="variable-name"

specifies the frequency variable.

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

specifies the variables to transfer to the generated table.

includeMissing=TRUE | FALSE

when set to True, includes missing values in the training.

Default FALSE

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

specifies variables to use for analysis.

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

Alias input

iterationReport=TRUE | FALSE

when set to True, calculates the accuracy for each iteration.

Alias iterations
Default FALSE

kernel="LINEAR" | "POLYNOMIAL" | "RBF" | "SIGMOID"

specifies the type of kernel to use.

Default LINEAR
LINEAR

specifies the linear kernel.

POLYNOMIAL

specifies the polynomial kernel.

RBF

specifies the radial basis function kernel.

SIGMOID

specifies the sigmoid kernel.

kernelParm=double

specifies the parameter of the RBF kernel. By default, the parameter value is the square root of the number of features.

Aliases k_par
rbfParameter
Minimum value 0.0001

kernelParm1=double

specifies the first parameter of the sigmoid kernel.

Aliases k_par1
sigmoidParameter1
Minimum value (exclusive) 0

kernelParm2=double

specifies the second parameter of the sigmoid kernel.

Aliases k_par2
sigmoidParameter2

maxiter=integer

specifies the maximum number of iterations.

Default 25
Minimum value 1

maxsv=integer

specifies the maximum number of support vectors.

Default 3500

method="ACTIVESET" | "CD" | "IPOINT"

specifies the training method to use.

Default IPOINT
ACTIVESET

specifies the active-set method.

CD

specifies the coordinate descent method.

IPOINT

specifies the interior point method.

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

specifies nominal variables to use for analysis.

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

Alias nominal

noprint=TRUE | FALSE

when set to True, ignores the ODS tables.

Default FALSE

noscale=TRUE | FALSE

when set to True, does not scale the interval variables.

Default FALSE

output={outputStatement}

produces the training output table.

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

partbyfrac={partByFracStatement}

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

seed=integer

specifies the seed to use in the random number generator that is used for partitioning the data.

Default 0
test=double

randomly assigns the specified proportion of observations in the input table to the testing role. The sum of the fractions that are specified in the test and validate parameters must be less than 1.

Range 0–1
validate=double

randomly assigns the specified proportion of observations in the input table to the validation role. The sum of the fractions that are specified in the test and validate parameters must be less than 1.

Alias valid
Range 0–1

partbyvar={partByVarStatement}

Long form partbyvar={name="variable-name"}
Shortcut form partbyvar="variable-name"

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

* name="variable-name"

names the variable in the input table whose values are used to assign roles to each observation.

test="string"

specifies the formatted value of the variable that is used to assign observations to the testing role.

train="string"

specifies the formatted value of the variable that is used to assign observations to the training role. If you do not specify the train parameter, then all observations whose roles are not determined by the test and validate parameters are assigned to training.

validate="string"

specifies the formatted value of the variable that is used to assign observations to the validation role.

Alias valid

printtarget=TRUE | FALSE

when set to True, generates the table for the target variable.

Default FALSE

regL1=double

specifies the L1 regularization penalization weight.

Minimum value (exclusive) 0

regL2=double

specifies the L2 regularization penalization weight.

Minimum value (exclusive) 0

savestate={casouttable}

specifies to the table in which to save the model for future scoring.

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

label="string"

specifies the descriptive label to associate with the table.

lifetime=64-bit-integer

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

Default 0
Minimum value 0
memoryFormat="DVR" | "INHERIT" | "STANDARD"

specifies the memory format for the output table.

Default INHERIT
DVR

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

INHERIT

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

STANDARD

use the standard memory format.

name="table-name"

specifies the name for the output table.

promote=TRUE | FALSE

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

Default FALSE
replace=TRUE | FALSE

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

Default FALSE
tableRedistUpPolicy="DEFER" | "NOREDIST" | "REBALANCE"

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

DEFER

Defer redistribution policy selection to higher-level entity.

NOREDIST

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

REBALANCE

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

seed=64-bit-integer

specifies the random number seed.

Default 1

* table={castable}

specifies the settings for an input table.

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 to use for analysis.

tolerance=double

specifies the tolerance.

Default 1E-06

weight="variable-name"

specifies the weight variable.

svmTrain Action

Provides actions for support vector machines.

Lua Syntax

results, info = s:svm_svmTrain{
applyRowOrder=true | false,
attributes={{
format="string",
formattedLength=integer,
label="string",
required parameter name="variable-name",
nfd=integer,
nfl=integer
}, {...}},
c=double,
code={
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"
onDemand=true | false
promote=true | false
replace=true | false
replication=integer
tableRedistUpPolicy="DEFER" | "NOREDIST" | "REBALANCE"
threadBlockSize=64-bit-integer
timeStamp="string"
where={"string-1" <, "string-2", ...>}
},
comment=true | false,
fmtWdth=integer,
indentSize=integer,
intoCutPt=double,
iProb=true | false,
labelId=integer,
lineSize=integer,
noTrim=true | false,
pCatAll=true | false,
tabForm=true | false
},
degree=integer,
earlyStop=true | false,
epsilon=double,
freq="variable-name",
id={"variable-name-1" <, "variable-name-2", ...>},
includeMissing=true | false,
inputs={{
format="string",
formattedLength=integer,
label="string",
required parameter name="variable-name",
nfd=integer,
nfl=integer
}, {...}},
iterationReport=true | false,
kernel="LINEAR" | "POLYNOMIAL" | "RBF" | "SIGMOID",
kernelParm=double,
kernelParm1=double,
kernelParm2=double,
maxiter=integer,
maxsv=integer,
method="ACTIVESET" | "CD" | "IPOINT",
nominals={{
format="string",
formattedLength=integer,
label="string",
required parameter name="variable-name",
nfd=integer,
nfl=integer
}, {...}},
noprint=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"
onDemand=true | false
promote=true | false
replace=true | false
replication=integer
tableRedistUpPolicy="DEFER" | "NOREDIST" | "REBALANCE"
threadBlockSize=64-bit-integer
timeStamp="string"
where={"string-1" <, "string-2", ...>}
},
copyVars="ALL" | "ALL_MODEL" | "ALL_NUMERIC" | {"variable-name-1" <, "variable-name-2", ...>}
},
partbyfrac={
seed=integer,
test=double,
validate=double
},
partbyvar={
required parameter name="variable-name",
test="string",
train="string",
validate="string"
},
printtarget=true | false,
regL1=double,
regL2=double,
savestate={
caslib="string",
label="string",
lifetime=64-bit-integer,
memoryFormat="DVR" | "INHERIT" | "STANDARD",
name="table-name",
promote=true | false,
replace=true | false,
tableRedistUpPolicy="DEFER" | "NOREDIST" | "REBALANCE"
},
seed=64-bit-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, ...>},
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"
}
},
target="variable-name",
tolerance=double,
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 settings for an input table.
Parameters for Creating Output Tables

Parameter

Subparameter

Description

 code

casOut

produces SAS score code.

 output

required parametercasOut

produces the training output table.

 savestate

—

specifies to the table in which to save the model for future scoring.

Parameter Descriptions

applyRowOrder=true | false

specifies that you wish that the action uses a prespecified row ordering. This requires using the orderby and groupby parameters on a preliminary table.partition action call. This parameter only affects training when the training method is CD.

Default false

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

alters attributes on variables used in this action.

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

Alias attribute

c=double

specifies the penalty.

Default 1
Minimum value (exclusive) 0

code={aircodegen}

produces SAS score code.

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

degree=integer

specifies the degree of the polynomial kernel.

Default 1
Minimum value 1

earlyStop=true | false

when set to True, uses the validation data to determine whether to stop the iterations early.

Default false

epsilon=double

specifies the insensitive loss parameter.

Default 0.01
Minimum value 0

freq="variable-name"

specifies the frequency variable.

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

specifies the variables to transfer to the generated table.

includeMissing=true | false

when set to True, includes missing values in the training.

Default false

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

specifies variables to use for analysis.

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

Alias input

iterationReport=true | false

when set to True, calculates the accuracy for each iteration.

Alias iterations
Default false

kernel="LINEAR" | "POLYNOMIAL" | "RBF" | "SIGMOID"

specifies the type of kernel to use.

Default LINEAR
LINEAR

specifies the linear kernel.

POLYNOMIAL

specifies the polynomial kernel.

RBF

specifies the radial basis function kernel.

SIGMOID

specifies the sigmoid kernel.

kernelParm=double

specifies the parameter of the RBF kernel. By default, the parameter value is the square root of the number of features.

Aliases k_par
rbfParameter
Minimum value 0.0001

kernelParm1=double

specifies the first parameter of the sigmoid kernel.

Aliases k_par1
sigmoidParameter1
Minimum value (exclusive) 0

kernelParm2=double

specifies the second parameter of the sigmoid kernel.

Aliases k_par2
sigmoidParameter2

maxiter=integer

specifies the maximum number of iterations.

Default 25
Minimum value 1

maxsv=integer

specifies the maximum number of support vectors.

Default 3500

method="ACTIVESET" | "CD" | "IPOINT"

specifies the training method to use.

Default IPOINT
ACTIVESET

specifies the active-set method.

CD

specifies the coordinate descent method.

IPOINT

specifies the interior point method.

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

specifies nominal variables to use for analysis.

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

Alias nominal

noprint=true | false

when set to True, ignores the ODS tables.

Default false

noscale=true | false

when set to True, does not scale the interval variables.

Default false

output={outputStatement}

produces the training output table.

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

partbyfrac={partByFracStatement}

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

seed=integer

specifies the seed to use in the random number generator that is used for partitioning the data.

Default 0
test=double

randomly assigns the specified proportion of observations in the input table to the testing role. The sum of the fractions that are specified in the test and validate parameters must be less than 1.

Range 0–1
validate=double

randomly assigns the specified proportion of observations in the input table to the validation role. The sum of the fractions that are specified in the test and validate parameters must be less than 1.

Alias valid
Range 0–1

partbyvar={partByVarStatement}

Long form partbyvar={name="variable-name"}
Shortcut form partbyvar="variable-name"

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

* name="variable-name"

names the variable in the input table whose values are used to assign roles to each observation.

test="string"

specifies the formatted value of the variable that is used to assign observations to the testing role.

train="string"

specifies the formatted value of the variable that is used to assign observations to the training role. If you do not specify the train parameter, then all observations whose roles are not determined by the test and validate parameters are assigned to training.

validate="string"

specifies the formatted value of the variable that is used to assign observations to the validation role.

Alias valid

printtarget=true | false

when set to True, generates the table for the target variable.

Default false

regL1=double

specifies the L1 regularization penalization weight.

Minimum value (exclusive) 0

regL2=double

specifies the L2 regularization penalization weight.

Minimum value (exclusive) 0

savestate={casouttable}

specifies to the table in which to save the model for future scoring.

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

label="string"

specifies the descriptive label to associate with the table.

lifetime=64-bit-integer

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

Default 0
Minimum value 0
memoryFormat="DVR" | "INHERIT" | "STANDARD"

specifies the memory format for the output table.

Default INHERIT
DVR

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

INHERIT

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

STANDARD

use the standard memory format.

name="table-name"

specifies the name for the output table.

promote=true | false

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

Default false
replace=true | false

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

Default false
tableRedistUpPolicy="DEFER" | "NOREDIST" | "REBALANCE"

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

DEFER

Defer redistribution policy selection to higher-level entity.

NOREDIST

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

REBALANCE

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

seed=64-bit-integer

specifies the random number seed.

Default 1

* table={castable}

specifies the settings for an input table.

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 to use for analysis.

tolerance=double

specifies the tolerance.

Default 1E-06

weight="variable-name"

specifies the weight variable.

svmTrain Action

Provides actions for support vector machines.

Python Syntax

results=s.svm.svmTrain(
applyRowOrder=True | False,
attributes=[{
"format":"string",
"formattedLength":integer,
"label":"string",
required parameter "name":"variable-name",
"nfd":integer,
"nfl":integer
}<, {...}>],
c=double,
code={
"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"
"onDemand":True | False
"promote":True | False
"replace":True | False
"replication":integer
"tableRedistUpPolicy":"DEFER" | "NOREDIST" | "REBALANCE"
"threadBlockSize":64-bit-integer
"timeStamp":"string"
"where":["string-1" <, "string-2", ...>]
},
"comment":True | False,
"fmtWdth":integer,
"indentSize":integer,
"intoCutPt":double,
"iProb":True | False,
"labelId":integer,
"lineSize":integer,
"noTrim":True | False,
"pCatAll":True | False,
"tabForm":True | False
},
degree=integer,
earlyStop=True | False,
epsilon=double,
freq="variable-name",
id=["variable-name-1" <, "variable-name-2", ...>],
includeMissing=True | False,
inputs=[{
"format":"string",
"formattedLength":integer,
"label":"string",
required parameter "name":"variable-name",
"nfd":integer,
"nfl":integer
}<, {...}>],
iterationReport=True | False,
kernel="LINEAR" | "POLYNOMIAL" | "RBF" | "SIGMOID",
kernelParm=double,
kernelParm1=double,
kernelParm2=double,
maxiter=integer,
maxsv=integer,
method="ACTIVESET" | "CD" | "IPOINT",
nominals=[{
"format":"string",
"formattedLength":integer,
"label":"string",
required parameter "name":"variable-name",
"nfd":integer,
"nfl":integer
}<, {...}>],
noprint=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"
"onDemand":True | False
"promote":True | False
"replace":True | False
"replication":integer
"tableRedistUpPolicy":"DEFER" | "NOREDIST" | "REBALANCE"
"threadBlockSize":64-bit-integer
"timeStamp":"string"
"where":["string-1" <, "string-2", ...>]
},
"copyVars":"ALL" | "ALL_MODEL" | "ALL_NUMERIC" | ["variable-name-1" <, "variable-name-2", ...>]
},
partbyfrac={
"seed":integer,
"test":double,
"validate":double
},
partbyvar={
required parameter "name":"variable-name",
"test":"string",
"train":"string",
"validate":"string"
},
printtarget=True | False,
regL1=double,
regL2=double,
savestate={
"caslib":"string",
"label":"string",
"lifetime":64-bit-integer,
"memoryFormat":"DVR" | "INHERIT" | "STANDARD",
"name":"table-name",
"promote":True | False,
"replace":True | False,
"tableRedistUpPolicy":"DEFER" | "NOREDIST" | "REBALANCE"
},
seed=64-bit-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}, ...>},
"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"
}
},
target="variable-name",
tolerance=double,
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 settings for an input table.
Parameters for Creating Output Tables

Parameter

Subparameter

Description

 code

casOut

produces SAS score code.

 output

required parametercasOut

produces the training output table.

 savestate

—

specifies to the table in which to save the model for future scoring.

Parameter Descriptions

applyRowOrder=True | False

specifies that you wish that the action uses a prespecified row ordering. This requires using the orderby and groupby parameters on a preliminary table.partition action call. This parameter only affects training when the training method is CD.

Default False

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

alters attributes on variables used in this action.

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

Alias attribute

c=double

specifies the penalty.

Default 1
Minimum value (exclusive) 0

code={aircodegen}

produces SAS score code.

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

degree=integer

specifies the degree of the polynomial kernel.

Default 1
Minimum value 1

earlyStop=True | False

when set to True, uses the validation data to determine whether to stop the iterations early.

Default False

epsilon=double

specifies the insensitive loss parameter.

Default 0.01
Minimum value 0

freq="variable-name"

specifies the frequency variable.

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

specifies the variables to transfer to the generated table.

includeMissing=True | False

when set to True, includes missing values in the training.

Default False

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

specifies variables to use for analysis.

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

Alias input

iterationReport=True | False

when set to True, calculates the accuracy for each iteration.

Alias iterations
Default False

kernel="LINEAR" | "POLYNOMIAL" | "RBF" | "SIGMOID"

specifies the type of kernel to use.

Default LINEAR
LINEAR

specifies the linear kernel.

POLYNOMIAL

specifies the polynomial kernel.

RBF

specifies the radial basis function kernel.

SIGMOID

specifies the sigmoid kernel.

kernelParm=double

specifies the parameter of the RBF kernel. By default, the parameter value is the square root of the number of features.

Aliases k_par
rbfParameter
Minimum value 0.0001

kernelParm1=double

specifies the first parameter of the sigmoid kernel.

Aliases k_par1
sigmoidParameter1
Minimum value (exclusive) 0

kernelParm2=double

specifies the second parameter of the sigmoid kernel.

Aliases k_par2
sigmoidParameter2

maxiter=integer

specifies the maximum number of iterations.

Default 25
Minimum value 1

maxsv=integer

specifies the maximum number of support vectors.

Default 3500

method="ACTIVESET" | "CD" | "IPOINT"

specifies the training method to use.

Default IPOINT
ACTIVESET

specifies the active-set method.

CD

specifies the coordinate descent method.

IPOINT

specifies the interior point method.

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

specifies nominal variables to use for analysis.

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

Alias nominal

noprint=True | False

when set to True, ignores the ODS tables.

Default False

noscale=True | False

when set to True, does not scale the interval variables.

Default False

output={outputStatement}

produces the training output table.

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

partbyfrac={partByFracStatement}

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

"seed":integer

specifies the seed to use in the random number generator that is used for partitioning the data.

Default 0
"test":double

randomly assigns the specified proportion of observations in the input table to the testing role. The sum of the fractions that are specified in the test and validate parameters must be less than 1.

Range 0–1
"validate":double

randomly assigns the specified proportion of observations in the input table to the validation role. The sum of the fractions that are specified in the test and validate parameters must be less than 1.

Alias valid
Range 0–1

partbyvar={partByVarStatement}

Long form partbyvar={"name":"variable-name"}
Shortcut form partbyvar="variable-name"

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

* "name":"variable-name"

names the variable in the input table whose values are used to assign roles to each observation.

"test":"string"

specifies the formatted value of the variable that is used to assign observations to the testing role.

"train":"string"

specifies the formatted value of the variable that is used to assign observations to the training role. If you do not specify the train parameter, then all observations whose roles are not determined by the test and validate parameters are assigned to training.

"validate":"string"

specifies the formatted value of the variable that is used to assign observations to the validation role.

Alias valid

printtarget=True | False

when set to True, generates the table for the target variable.

Default False

regL1=double

specifies the L1 regularization penalization weight.

Minimum value (exclusive) 0

regL2=double

specifies the L2 regularization penalization weight.

Minimum value (exclusive) 0

savestate={casouttable}

specifies to the table in which to save the model for future scoring.

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

"label":"string"

specifies the descriptive label to associate with the table.

"lifetime":64-bit-integer

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

Default 0
Minimum value 0
"memoryFormat":"DVR" | "INHERIT" | "STANDARD"

specifies the memory format for the output table.

Default INHERIT
DVR

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

INHERIT

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

STANDARD

use the standard memory format.

"name":"table-name"

specifies the name for the output table.

"promote":True | False

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

Default False
"replace":True | False

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

Default False
"tableRedistUpPolicy":"DEFER" | "NOREDIST" | "REBALANCE"

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

DEFER

Defer redistribution policy selection to higher-level entity.

NOREDIST

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

REBALANCE

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

seed=64-bit-integer

specifies the random number seed.

Default 1

* table={castable}

specifies the settings for an input table.

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 to use for analysis.

tolerance=double

specifies the tolerance.

Default 1E-06

weight="variable-name"

specifies the weight variable.

svmTrain Action

Provides actions for support vector machines.

R Syntax

results <– cas.svm.svmTrain(s,
applyRowOrder=TRUE | FALSE,
attributes=list( list(
format="string",
formattedLength=integer,
label="string",
required parameter name="variable-name",
nfd=integer,
nfl=integer
) <, list(...)>),
c=double,
code=list(
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"
onDemand=TRUE | FALSE
promote=TRUE | FALSE
replace=TRUE | FALSE
replication=integer
tableRedistUpPolicy="DEFER" | "NOREDIST" | "REBALANCE"
threadBlockSize=64-bit-integer
timeStamp="string"
where=list("string-1" <, "string-2", ...>)
),
comment=TRUE | FALSE,
fmtWdth=integer,
indentSize=integer,
intoCutPt=double,
iProb=TRUE | FALSE,
labelId=integer,
lineSize=integer,
noTrim=TRUE | FALSE,
pCatAll=TRUE | FALSE,
tabForm=TRUE | FALSE
),
degree=integer,
earlyStop=TRUE | FALSE,
epsilon=double,
freq="variable-name",
id=list("variable-name-1" <, "variable-name-2", ...>),
includeMissing=TRUE | FALSE,
inputs=list( list(
format="string",
formattedLength=integer,
label="string",
required parameter name="variable-name",
nfd=integer,
nfl=integer
) <, list(...)>),
iterationReport=TRUE | FALSE,
kernel="LINEAR" | "POLYNOMIAL" | "RBF" | "SIGMOID",
kernelParm=double,
kernelParm1=double,
kernelParm2=double,
maxiter=integer,
maxsv=integer,
method="ACTIVESET" | "CD" | "IPOINT",
nominals=list( list(
format="string",
formattedLength=integer,
label="string",
required parameter name="variable-name",
nfd=integer,
nfl=integer
) <, list(...)>),
noprint=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"
onDemand=TRUE | FALSE
promote=TRUE | FALSE
replace=TRUE | FALSE
replication=integer
tableRedistUpPolicy="DEFER" | "NOREDIST" | "REBALANCE"
threadBlockSize=64-bit-integer
timeStamp="string"
where=list("string-1" <, "string-2", ...>)
),
copyVars="ALL" | "ALL_MODEL" | "ALL_NUMERIC" | list("variable-name-1" <, "variable-name-2", ...>)
),
partbyfrac=list(
seed=integer,
test=double,
validate=double
),
partbyvar=list(
required parameter name="variable-name",
test="string",
train="string",
validate="string"
),
printtarget=TRUE | FALSE,
regL1=double,
regL2=double,
savestate=list(
caslib="string",
label="string",
lifetime=64-bit-integer,
memoryFormat="DVR" | "INHERIT" | "STANDARD",
name="table-name",
promote=TRUE | FALSE,
replace=TRUE | FALSE,
tableRedistUpPolicy="DEFER" | "NOREDIST" | "REBALANCE"
),
seed=64-bit-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), ...>),
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"
)
),
target="variable-name",
tolerance=double,
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 settings for an input table.
Parameters for Creating Output Tables

Parameter

Subparameter

Description

 code

casOut

produces SAS score code.

 output

required parametercasOut

produces the training output table.

 savestate

—

specifies to the table in which to save the model for future scoring.

Parameter Descriptions

applyRowOrder=TRUE | FALSE

specifies that you wish that the action uses a prespecified row ordering. This requires using the orderby and groupby parameters on a preliminary table.partition action call. This parameter only affects training when the training method is CD.

Default FALSE

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

alters attributes on variables used in this action.

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

Alias attribute

c=double

specifies the penalty.

Default 1
Minimum value (exclusive) 0

code=list(aircodegen)

produces SAS score code.

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

degree=integer

specifies the degree of the polynomial kernel.

Default 1
Minimum value 1

earlyStop=TRUE | FALSE

when set to True, uses the validation data to determine whether to stop the iterations early.

Default FALSE

epsilon=double

specifies the insensitive loss parameter.

Default 0.01
Minimum value 0

freq="variable-name"

specifies the frequency variable.

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

specifies the variables to transfer to the generated table.

includeMissing=TRUE | FALSE

when set to True, includes missing values in the training.

Default FALSE

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

specifies variables to use for analysis.

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

Alias input

iterationReport=TRUE | FALSE

when set to True, calculates the accuracy for each iteration.

Alias iterations
Default FALSE

kernel="LINEAR" | "POLYNOMIAL" | "RBF" | "SIGMOID"

specifies the type of kernel to use.

Default LINEAR
LINEAR

specifies the linear kernel.

POLYNOMIAL

specifies the polynomial kernel.

RBF

specifies the radial basis function kernel.

SIGMOID

specifies the sigmoid kernel.

kernelParm=double

specifies the parameter of the RBF kernel. By default, the parameter value is the square root of the number of features.

Aliases k_par
rbfParameter
Minimum value 0.0001

kernelParm1=double

specifies the first parameter of the sigmoid kernel.

Aliases k_par1
sigmoidParameter1
Minimum value (exclusive) 0

kernelParm2=double

specifies the second parameter of the sigmoid kernel.

Aliases k_par2
sigmoidParameter2

maxiter=integer

specifies the maximum number of iterations.

Default 25
Minimum value 1

maxsv=integer

specifies the maximum number of support vectors.

Default 3500

method="ACTIVESET" | "CD" | "IPOINT"

specifies the training method to use.

Default IPOINT
ACTIVESET

specifies the active-set method.

CD

specifies the coordinate descent method.

IPOINT

specifies the interior point method.

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

specifies nominal variables to use for analysis.

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

Alias nominal

noprint=TRUE | FALSE

when set to True, ignores the ODS tables.

Default FALSE

noscale=TRUE | FALSE

when set to True, does not scale the interval variables.

Default FALSE

output=list(outputStatement)

produces the training output table.

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

partbyfrac=list(partByFracStatement)

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

seed=integer

specifies the seed to use in the random number generator that is used for partitioning the data.

Default 0
test=double

randomly assigns the specified proportion of observations in the input table to the testing role. The sum of the fractions that are specified in the test and validate parameters must be less than 1.

Range 0–1
validate=double

randomly assigns the specified proportion of observations in the input table to the validation role. The sum of the fractions that are specified in the test and validate parameters must be less than 1.

Alias valid
Range 0–1

partbyvar=list(partByVarStatement)

Long form partbyvar=list(name="variable-name")
Shortcut form partbyvar="variable-name"

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

* name="variable-name"

names the variable in the input table whose values are used to assign roles to each observation.

test="string"

specifies the formatted value of the variable that is used to assign observations to the testing role.

train="string"

specifies the formatted value of the variable that is used to assign observations to the training role. If you do not specify the train parameter, then all observations whose roles are not determined by the test and validate parameters are assigned to training.

validate="string"

specifies the formatted value of the variable that is used to assign observations to the validation role.

Alias valid

printtarget=TRUE | FALSE

when set to True, generates the table for the target variable.

Default FALSE

regL1=double

specifies the L1 regularization penalization weight.

Minimum value (exclusive) 0

regL2=double

specifies the L2 regularization penalization weight.

Minimum value (exclusive) 0

savestate=list(casouttable)

specifies to the table in which to save the model for future scoring.

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

label="string"

specifies the descriptive label to associate with the table.

lifetime=64-bit-integer

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

Default 0
Minimum value 0
memoryFormat="DVR" | "INHERIT" | "STANDARD"

specifies the memory format for the output table.

Default INHERIT
DVR

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

INHERIT

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

STANDARD

use the standard memory format.

name="table-name"

specifies the name for the output table.

promote=TRUE | FALSE

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

Default FALSE
replace=TRUE | FALSE

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

Default FALSE
tableRedistUpPolicy="DEFER" | "NOREDIST" | "REBALANCE"

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

DEFER

Defer redistribution policy selection to higher-level entity.

NOREDIST

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

REBALANCE

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

seed=64-bit-integer

specifies the random number seed.

Default 1

* table=list(castable)

specifies the settings for an input table.

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 to use for analysis.

tolerance=double

specifies the tolerance.

Default 1E-06

weight="variable-name"

specifies the weight variable.

Last updated: November 23, 2025