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The correlation action computes Pearson product-moment correlations. This is a f...
The `buildTermIndex` action creates a term index table from a table of significa...
The forestScore action scores an input table using a previously trained forest m...
The 'table' parameter is required to specify the settings for the input table.
You can use the 'listNode' parameter. It accepts values like 'ALL', 'HIDDEN', 'INPUT', or 'OUTPUT' to specify which types of nodes should be included in the scored output table. The default is 'HIDDEN', which is useful for autoencoding applications.
The 'outNodes' table contains the graph node information along with any calculated metrics on the nodes, such as their assigned community ID. The 'outLinks' table contains the graph link information, also supplemented with any calculated metrics on the links.
Nominal variables for analysis are specified using the nominals parameter, which accepts a list of casinvardesc structures. Each structure defines attributes like format, formattedLength, label, name (required), nfd, and nfl for a variable.
For fitting a t-copula, you can provide a Pearson correlation matrix using the `corrtable` parameter or a Kendall's tau correlation matrix using the `KendallCorrtable` parameter. You can also specify an initial value for the degrees of freedom using the `df` parameter.