Provides actions for fitting linear, generalized linear, and logistic models
creates a table on the server that contains results from scoring observations by using a fitted model.
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.
|
Parameter |
Subparameter |
Description |
|---|---|---|
|
required parameterrestore |
— |
restores regression models from a binary large object (BLOB). |
|
required parametertable |
— |
specifies the input data table. |
|
Parameter |
Subparameter |
Description |
|---|---|---|
|
required parametercasOut |
— |
specifies the settings for an output table. |
|
names |
lists the names of results tables to save as CAS tables on the server. |
when set to True, requests all available statistics.
| Default | FALSE |
|---|
specifies the significance level to use for the construction of all confidence intervals.
| Default | 0.05 |
|---|---|
| Range | (0, 1) |
specifies the settings for an output table.
For more information about specifying the casOut parameter, see the common casouttable (Form 1) parameter (Appendix A: Common Parameters).
names the Cook's D influence statistic.
specifies a list of one or more variables to be copied from the input table to the output table. You can alternatively specify the value ALL, or ALL_NUMERIC, which respectively copies all variables, or all numeric variables from the input table to the output table.
names the standard influence of the observation on covariance of betas. The COVRATIO statistic measures the change in the determinant of the covariance matrix of the estimates by deleting the ith observation.
names the scaled measure of the change in the predicted value for the ith observation and is calculated by deleting the ith observation. A large value indicates that the observation is very influential in its neighborhood of the X space.
specifies a list of results tables to send to the client for display.
For more information about specifying the display parameter, see the common displayTables parameter (Appendix A: Common Parameters).
when set to True, specifies that the data to be scored were also used to fit the model.
| Default | FALSE |
|---|
names the leverage of the observation.
names the lower bound of a confidence interval for an individual prediction.
names the lower bound of a confidence interval for the expected value of the dependent variable.
names the likelihood displacement.
lists the names of results tables to save as CAS tables on the server.
For more information about specifying the outputTables parameter, see the common outputTables parameter (Appendix A: Common Parameters).
| Alias | displayOut |
|---|
names the predicted value. If you do not specify any output statistics, then by default the predicted value is named Pred.
names the ith residual divided by 1 - h, where h is the leverage, and where the model has been refit without the ith observation.
names the residual, calculated as ACTUAL minus PREDICTED.
restores regression models from a binary large object (BLOB).
| Long form | restore={name="table-name"} |
|---|---|
| Shortcut form | restore="table-name" |
The castable value can be one or more of the following:
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.
specifies data source options.
| Aliases | options |
|---|---|
| dataSource |
specifies the name of the input table.
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:
specifies the caslib for the filter table. By default, the active caslib is used.
specifies data source options.
| Aliases | options |
|---|---|
| dataSource |
For more information about specifying the dataSourceOptions parameter, see the common dataSourceOptions parameter (Appendix A: Common 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).
specifies the name of the filter table.
specifies the variable names to use from the filter table.
The casinvardesc value can be one or more of the following:
specifies the format to apply to the variable.
specifies the length of the format field plus the length of the format precision.
specifies the descriptive label for the variable.
specifies the name for the variable.
specifies the length of the format precision.
specifies the length of the format field.
specifies an expression for subsetting the data from the filter table.
identifies the training, validation, and test roles for the observations.
names the studentized residual with the current observation deleted.
names the standard error of the individual predicted value.
names the standard error of the mean predicted value.
names the standard error of the residual.
names the studentized residuals, which are the residuals divided by their standard errors.
specifies the input data table.
For more information about specifying the table parameter, see the common castable (Form 1) parameter (Appendix A: Common Parameters).
names the upper bound of a confidence interval for an individual prediction.
names the upper bound of a confidence interval for the expected value of the dependent variable.
creates a table on the server that contains results from scoring observations by using a fitted model.
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.
|
Parameter |
Subparameter |
Description |
|---|---|---|
|
required parameterrestore |
— |
restores regression models from a binary large object (BLOB). |
|
required parametertable |
— |
specifies the input data table. |
|
Parameter |
Subparameter |
Description |
|---|---|---|
|
required parametercasOut |
— |
specifies the settings for an output table. |
|
names |
lists the names of results tables to save as CAS tables on the server. |
when set to True, requests all available statistics.
| Default | false |
|---|
specifies the significance level to use for the construction of all confidence intervals.
| Default | 0.05 |
|---|---|
| Range | (0, 1) |
specifies the settings for an output table.
For more information about specifying the casOut parameter, see the common casouttable (Form 1) parameter (Appendix A: Common Parameters).
names the Cook's D influence statistic.
specifies a list of one or more variables to be copied from the input table to the output table. You can alternatively specify the value ALL, or ALL_NUMERIC, which respectively copies all variables, or all numeric variables from the input table to the output table.
names the standard influence of the observation on covariance of betas. The COVRATIO statistic measures the change in the determinant of the covariance matrix of the estimates by deleting the ith observation.
names the scaled measure of the change in the predicted value for the ith observation and is calculated by deleting the ith observation. A large value indicates that the observation is very influential in its neighborhood of the X space.
specifies a list of results tables to send to the client for display.
For more information about specifying the display parameter, see the common displayTables parameter (Appendix A: Common Parameters).
when set to True, specifies that the data to be scored were also used to fit the model.
| Default | false |
|---|
names the leverage of the observation.
names the lower bound of a confidence interval for an individual prediction.
names the lower bound of a confidence interval for the expected value of the dependent variable.
names the likelihood displacement.
lists the names of results tables to save as CAS tables on the server.
For more information about specifying the outputTables parameter, see the common outputTables parameter (Appendix A: Common Parameters).
| Alias | displayOut |
|---|
names the predicted value. If you do not specify any output statistics, then by default the predicted value is named Pred.
names the ith residual divided by 1 - h, where h is the leverage, and where the model has been refit without the ith observation.
names the residual, calculated as ACTUAL minus PREDICTED.
restores regression models from a binary large object (BLOB).
| Long form | restore={name="table-name"} |
|---|---|
| Shortcut form | restore="table-name" |
The castable value can be one or more of the following:
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.
specifies data source options.
| Aliases | options |
|---|---|
| dataSource |
specifies the name of the input table.
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:
specifies the caslib for the filter table. By default, the active caslib is used.
specifies data source options.
| Aliases | options |
|---|---|
| dataSource |
For more information about specifying the dataSourceOptions parameter, see the common dataSourceOptions parameter (Appendix A: Common 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).
specifies the name of the filter table.
specifies the variable names to use from the filter table.
The casinvardesc value can be one or more of the following:
specifies the format to apply to the variable.
specifies the length of the format field plus the length of the format precision.
specifies the descriptive label for the variable.
specifies the name for the variable.
specifies the length of the format precision.
specifies the length of the format field.
specifies an expression for subsetting the data from the filter table.
identifies the training, validation, and test roles for the observations.
names the studentized residual with the current observation deleted.
names the standard error of the individual predicted value.
names the standard error of the mean predicted value.
names the standard error of the residual.
names the studentized residuals, which are the residuals divided by their standard errors.
specifies the input data table.
For more information about specifying the table parameter, see the common castable (Form 1) parameter (Appendix A: Common Parameters).
names the upper bound of a confidence interval for an individual prediction.
names the upper bound of a confidence interval for the expected value of the dependent variable.
creates a table on the server that contains results from scoring observations by using a fitted model.
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.
|
Parameter |
Subparameter |
Description |
|---|---|---|
|
required parameterrestore |
— |
restores regression models from a binary large object (BLOB). |
|
required parametertable |
— |
specifies the input data table. |
|
Parameter |
Subparameter |
Description |
|---|---|---|
|
required parametercasOut |
— |
specifies the settings for an output table. |
|
names |
lists the names of results tables to save as CAS tables on the server. |
when set to True, requests all available statistics.
| Default | False |
|---|
specifies the significance level to use for the construction of all confidence intervals.
| Default | 0.05 |
|---|---|
| Range | (0, 1) |
specifies the settings for an output table.
For more information about specifying the casOut parameter, see the common casouttable (Form 1) parameter (Appendix A: Common Parameters).
names the Cook's D influence statistic.
specifies a list of one or more variables to be copied from the input table to the output table. You can alternatively specify the value ALL, or ALL_NUMERIC, which respectively copies all variables, or all numeric variables from the input table to the output table.
names the standard influence of the observation on covariance of betas. The COVRATIO statistic measures the change in the determinant of the covariance matrix of the estimates by deleting the ith observation.
names the scaled measure of the change in the predicted value for the ith observation and is calculated by deleting the ith observation. A large value indicates that the observation is very influential in its neighborhood of the X space.
specifies a list of results tables to send to the client for display.
For more information about specifying the display parameter, see the common displayTables parameter (Appendix A: Common Parameters).
when set to True, specifies that the data to be scored were also used to fit the model.
| Default | False |
|---|
names the leverage of the observation.
names the lower bound of a confidence interval for an individual prediction.
names the lower bound of a confidence interval for the expected value of the dependent variable.
names the likelihood displacement.
lists the names of results tables to save as CAS tables on the server.
For more information about specifying the outputTables parameter, see the common outputTables parameter (Appendix A: Common Parameters).
| Alias | displayOut |
|---|
names the predicted value. If you do not specify any output statistics, then by default the predicted value is named Pred.
names the ith residual divided by 1 - h, where h is the leverage, and where the model has been refit without the ith observation.
names the residual, calculated as ACTUAL minus PREDICTED.
restores regression models from a binary large object (BLOB).
| Long form | restore={"name":"table-name"} |
|---|---|
| Shortcut form | restore="table-name" |
The castable value can be one or more of the following:
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.
specifies data source options.
| Aliases | options |
|---|---|
| dataSource |
specifies the name of the input table.
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:
specifies the caslib for the filter table. By default, the active caslib is used.
specifies data source options.
| Aliases | options |
|---|---|
| dataSource |
For more information about specifying the dataSourceOptions parameter, see the common dataSourceOptions parameter (Appendix A: Common 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).
specifies the name of the filter table.
specifies the variable names to use from the filter table.
The casinvardesc value can be one or more of the following:
specifies the format to apply to the variable.
specifies the length of the format field plus the length of the format precision.
specifies the descriptive label for the variable.
specifies the name for the variable.
specifies the length of the format precision.
specifies the length of the format field.
specifies an expression for subsetting the data from the filter table.
identifies the training, validation, and test roles for the observations.
names the studentized residual with the current observation deleted.
names the standard error of the individual predicted value.
names the standard error of the mean predicted value.
names the standard error of the residual.
names the studentized residuals, which are the residuals divided by their standard errors.
specifies the input data table.
For more information about specifying the table parameter, see the common castable (Form 1) parameter (Appendix A: Common Parameters).
names the upper bound of a confidence interval for an individual prediction.
names the upper bound of a confidence interval for the expected value of the dependent variable.
creates a table on the server that contains results from scoring observations by using a fitted model.
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.
|
Parameter |
Subparameter |
Description |
|---|---|---|
|
required parameterrestore |
— |
restores regression models from a binary large object (BLOB). |
|
required parametertable |
— |
specifies the input data table. |
|
Parameter |
Subparameter |
Description |
|---|---|---|
|
required parametercasOut |
— |
specifies the settings for an output table. |
|
names |
lists the names of results tables to save as CAS tables on the server. |
when set to True, requests all available statistics.
| Default | FALSE |
|---|
specifies the significance level to use for the construction of all confidence intervals.
| Default | 0.05 |
|---|---|
| Range | (0, 1) |
specifies the settings for an output table.
For more information about specifying the casOut parameter, see the common casouttable (Form 1) parameter (Appendix A: Common Parameters).
names the Cook's D influence statistic.
specifies a list of one or more variables to be copied from the input table to the output table. You can alternatively specify the value ALL, or ALL_NUMERIC, which respectively copies all variables, or all numeric variables from the input table to the output table.
names the standard influence of the observation on covariance of betas. The COVRATIO statistic measures the change in the determinant of the covariance matrix of the estimates by deleting the ith observation.
names the scaled measure of the change in the predicted value for the ith observation and is calculated by deleting the ith observation. A large value indicates that the observation is very influential in its neighborhood of the X space.
specifies a list of results tables to send to the client for display.
For more information about specifying the display parameter, see the common displayTables parameter (Appendix A: Common Parameters).
when set to True, specifies that the data to be scored were also used to fit the model.
| Default | FALSE |
|---|
names the leverage of the observation.
names the lower bound of a confidence interval for an individual prediction.
names the lower bound of a confidence interval for the expected value of the dependent variable.
names the likelihood displacement.
lists the names of results tables to save as CAS tables on the server.
For more information about specifying the outputTables parameter, see the common outputTables parameter (Appendix A: Common Parameters).
| Alias | displayOut |
|---|
names the predicted value. If you do not specify any output statistics, then by default the predicted value is named Pred.
names the ith residual divided by 1 - h, where h is the leverage, and where the model has been refit without the ith observation.
names the residual, calculated as ACTUAL minus PREDICTED.
restores regression models from a binary large object (BLOB).
| Long form | restore=list(name="table-name") |
|---|---|
| Shortcut form | restore="table-name" |
The castable value can be one or more of the following:
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.
specifies data source options.
| Aliases | options |
|---|---|
| dataSource |
specifies the name of the input table.
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:
specifies the caslib for the filter table. By default, the active caslib is used.
specifies data source options.
| Aliases | options |
|---|---|
| dataSource |
For more information about specifying the dataSourceOptions parameter, see the common dataSourceOptions parameter (Appendix A: Common 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).
specifies the name of the filter table.
specifies the variable names to use from the filter table.
The casinvardesc value can be one or more of the following:
specifies the format to apply to the variable.
specifies the length of the format field plus the length of the format precision.
specifies the descriptive label for the variable.
specifies the name for the variable.
specifies the length of the format precision.
specifies the length of the format field.
specifies an expression for subsetting the data from the filter table.
identifies the training, validation, and test roles for the observations.
names the studentized residual with the current observation deleted.
names the standard error of the individual predicted value.
names the standard error of the mean predicted value.
names the standard error of the residual.
names the studentized residuals, which are the residuals divided by their standard errors.
specifies the input data table.
For more information about specifying the table parameter, see the common castable (Form 1) parameter (Appendix A: Common Parameters).
names the upper bound of a confidence interval for an individual prediction.
names the upper bound of a confidence interval for the expected value of the dependent variable.