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The 'alpha' parameter is a tunable parameter that manages the trade-off between the acoustic model and the language model. A larger alpha value gives more weight to the language model when ranking candidates. The default value is 1.
Setting 'singlePass' to TRUE prevents the creation of a transient table on the server, which can be more efficient. However, it may result in data not having a stable ordering upon repeated runs.
You use the `sourceImages` and `referenceImages` parameters. You can specify if the images are in separate tables or joined in a single table using the `location` subparameter within the `referenceImages` parameter.
The `alpha` parameter specifies the significance level for constructing all equal-tail credible limits, with a default value of 0.05.
Yes, you can use the 'inputs' parameter to specify one set of variables and the 'pairWithInput' (or 'with') parameter to specify the second set of variables. The action will then compute correlations for variables between these two sets.