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The featureMachine action is an automated feature transformation and generation ...
The `batchresults` action allows for changing the execution mode of a currently ...
The `ecm` action creates a sample of the enterprise-wide loss (aggregate loss) b...
You can control surface smoothing using the 'smoothing' parameter. It includes two sub-parameters: 'iterations', which sets the maximum number of smoothing iterations (default is 0), and 'relaxationFactor', which specifies the degree of smoothing in each iteration (a value between 0 and 1, with a default of 1).
specifies a seed value for random number generation. This value is used for repeatable random number generation in some scenarios. Default: 0
Yes, you can overwrite an existing model by setting the `replace` parameter within `modelOptions` to TRUE. This is the default behavior.
this value is useful for the power parameter in tweedie distribution. Alias: scale. Minimum value (exclusive): 0.
The `mPositive` parameter specifies the m value for computing estimated precision for positive terms (default 2), and `mNegative` specifies the m value for computing estimated precision for negative terms (default 4).