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The logisticAssociation action computes indices of rank correlation between pred...
The `fedSql.execDirect` action submits a SAS FedSQL language statement for immed...
Reshapes a table from a long format (multiple rows per subject) to a wide format...
specifies the missing policy to handle missing values. Default: USEINSEARCH MACSMALL: specifies to treat the missing values for numeric variables as the smallest machine value and to treat missing values for nominal variables as a separate level. USEINSEARCH: specifies to incorporate missing values in the calculation of the worth of a splitting rule, and consequently to produce a splitting rule that associates missing values with a branch that maximizes the worth of the split.
You can use the 'direction' parameter. Set it to 'DIRECTED' for directed graphs where flow is from a source to a sink node, or 'UNDIRECTED' for undirected graphs where flow can be in either direction.
The featureMachine action serves as an automated feature transformation and generation engine. It is designed to automate data science workflows by exploring, executing, and ranking machine learning pipelines.
To run a basic analysis, you must specify the input data table using the `table` parameter and define the model structure using the `model` parameter, which includes specifying the dependent variable (time-to-event) and explanatory variables.
The 'table.whereTable.dataSourceOptions' subparameter specifies data source options. Aliases: options, dataSource. For more information about specifying the dataSourceOptions parameter, see the common dataSourceOptions parameter.