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"We have added a constraint parameter into gridsearch hypterparameter. The constraint parameter is a list of model parameters. Model parameters in the same constraint list can vary freely among each other. The purpose of introducing the constraint parameter is to group model parameters that can vary with restrictions. For example, for GAM, the following parameters if specified must have the same array dimension:
gam_columns
scale
num_knots
bs.
These parameters can be specified in the hyper_parameters as follows:
hyper_parameters = {‘alpha’:[0.9, 0.1],
‘constraints’: [{‘scale’:[[1,1,1],[0.1, 0.1, 0.1]], ‘num_knots’:[[4,4,4],[5,5,5]], ‘gam_columns’:[[“C1”,“C2",“C3”]]}, {‘scale’:[[1,1],[0.1, 0.1,]], ‘num_knots’:[[4,4],[5,5]], ‘gam_columns’:[[“C2",“C3”]]}].
With this hyper-parameter specification, there will be 16 GAM models built."
The text was updated successfully, but these errors were encountered:
"We have added a constraint parameter into gridsearch hypterparameter. The constraint parameter is a list of model parameters. Model parameters in the same constraint list can vary freely among each other. The purpose of introducing the constraint parameter is to group model parameters that can vary with restrictions. For example, for GAM, the following parameters if specified must have the same array dimension:
gam_columns
scale
num_knots
bs.
These parameters can be specified in the hyper_parameters as follows:
hyper_parameters = {‘alpha’:[0.9, 0.1],
‘constraints’: [{‘scale’:[[1,1,1],[0.1, 0.1, 0.1]], ‘num_knots’:[[4,4,4],[5,5,5]], ‘gam_columns’:[[“C1”,“C2",“C3”]]}, {‘scale’:[[1,1],[0.1, 0.1,]], ‘num_knots’:[[4,4],[5,5]], ‘gam_columns’:[[“C2",“C3”]]}].
With this hyper-parameter specification, there will be 16 GAM models built."
The text was updated successfully, but these errors were encountered: