"tr.gamk" is typically used as the regularization parameter in machine learning models, specifically in group Lasso regularization. In group Lasso regularization, the regularization penalty is applied to groups of features or variables, rather than individual features.
The parameter "tr.gamk" controls the strength of the regularization penalty and helps to balance the model's bias-variance tradeoff. In your case, the value of 29 likely refers to the number of groups of features being regularized by the group Lasso method.
The value of 1771 is likely the actual value of the regularization parameter that was used in your model. This value is typically determined through cross-validation or other tuning methods to find the optimal value that balances model complexity and accuracy.
