Wrapper_Filter_1_helpers.Rd
Helper functions
Func_update_args_univ_clusters(lrn, args_vec, lrn.id) getTaskSubjectId(Task) Func_extract_feature_name(DF_Assay_feature_names, Assay.Analyte.sep) Filter_M_Limma_eBayes_gene_REV_function(DF.i, y.either, Covaraites_DF_const) Filter_M_glm_gene_REV_function(DF.i, y.either, Covaraites_DF_const) Fun_Load_module_sets(mod_all.sets.tib) F_assay_i_module_row_index(DF_i, modules_sets_combined_l_F) Filter_M_Limma_camera_Module_REV_function(DF_i, y.either, Covaraites_DF_const_F, Set_i, assay_i) Func_task_to_Passed_Features_DF_MaG(task.multi, args) Func_Collapse_Data_by_module_names(DF_gene, Train_feature_names) cvglmnet_alternative_lambda.min_function(cv_fit, param.LASSO.n.features.arbitrary)
all_kind | all kind... |
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all kind...
TBA
when cv.glmnet lambda.min return a null model (intercept only), alternatively return 'previous' value of lambda that reults {param.LASSO.n.features.arbitrary