The required parameters are "table" (input table), "sequenceId" (specifying the sequence or customer column), "eventId" (specifying the event or time column), and "itemId" (specifying the item column)....
Use the "support" parameter (alias "supmin") to specify the minimum level of support as a value between 0 and 1. Alternatively, you can use "supportCnt" to specify a minimum count of transactions....
You can use the "where" parameter to specify an expression for subsetting the input data. Additionally, the "whereTable" parameter allows you to use rows from another table as a filter....
Setting "singlePass" to True prevents the creation of a transient table on the server. This can be more efficient but might result in unstable data ordering upon repeated runs....
You can use the `direction` parameter. Specify "DIRECTED" for a directed graph or "UNDIRECTED" for an undirected graph. The default is "UNDIRECTED"....
When set to True (which is the default), the `deterministic` parameter ensures that each invocation with the same machine configuration and parameter settings produces the same final result....
When set to True, the `multiLinks` parameter includes multilinks when an input graph is read. It defaults to True for algorithms that support multilinks....
Use the `maxTime` parameter to specify the maximum amount of time. You can also use the `timeType` parameter to specify whether this is "CPU" time or "REAL" time (default)....
The results include `ProblemSummary` (basic graph input summary), `SolutionSummary` (algorithm solution summary), `numCycles` (number of cycles found), and `solutionStatus`....
The echo action is included in SAS Cloud Analytic Services, SAS Lua Client Interface for Viya, SAS Python Client for Viya, and SAS Viya Programming....
The ecm action creates a sample of the enterprise-wide loss by combining the copula simulation with the marginal empirical distributions of losses in business lines....
The `bodySampleFrac` parameter specifies the fraction of points to be sampled from bins that fall in the body region, which is determined by the `tailStart` parameter....
You can use the `tailEDFAccuracy` parameter to specify the desired accuracy for the empirical distribution function (EDF) of the computed percentiles in the tail region....
You can use the `outsum` parameter. Within this parameter, you can specify `outSummary` for the table name, `percentiles` for specific percentile points, and `summaryStatistics` for statistics like MEAN, STDDEV, and VaR....
When `shuffleData` is set to False, the action does not shuffle the data to worker nodes and does not sample the body region bins. The default is True....
Yes, you can enable GPU computation by setting the "enable" subparameter within the "gpu" parameter to TRUE. Note that if you specify the "groupBy" subparameter in the "table" parameter, the "gpu" parameter is ignored....
You can use the "outStat" parameter to specify an output table that contains various statistics, including means, standard deviations, eigenvalues, and eigenvectors....
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