runs LASSO search on the data
LASSOLKTModel(
data,
gridpars,
allcomponents,
preset = NA,
presetint = T,
allfeatures,
specialcomponents = c(),
specialfeatures = c(),
specialpars = c(),
target_n,
removefeat = c(),
removecomp = c(),
test_fold = 1
)list of matrices and values "train_x","train_y","test_x","test_y","fit","target_auc","target_rmse","n_features","auc_lambda","rmse_lambda","BIC_lambda","target_idx", "preds"
is a dataset with Anon.Student.Id and CF..ansbin.
a vector of parameters to create each feature at
is search space for LKT components
One of "static","AFM","PFA","advanced","AFMLLTM","PFALLTM","advancedLLTM"
should the intercepts be included for preset components
is search space for LKT features
add special components (not crossed with features, only paired with special features 1 for 1)
features for each special component (not crossed during search)
parameters for the special features (if needed)
chosen number of features in model
Character Vector | Excludes specified features from the test list.
Character Vector | Excludes specified components from the test list.
the fold that the chosen LASSO model will be tested on