mCCA: msCCA object
mCCA: msCCA object
new()mCCA$new( X, beta_init = NULL, norm_type = 1, cl = 0.1, eta = 0.2, eta_ratio = NULL, rho_tol = 1e-06, rho_maxit = 1000, l1proximal_tol = 1e-04, l1proximal_maxit = 1000, line_search = TRUE, line_maxit = 10, eta_low = NULL, eps = NULL, init_method = "rgcca", my_init_param = NULL, trace = TRUE, print_out = 50 )
beta_init_func()mCCA$beta_init_func(R)
direction_update_l1_single()mCCA$direction_update_l1_single( X = NULL, R = NULL, beta_init = NULL, l1norm = NULL, l0norm = NULL, trace = F )
direction_update_l0_single()mCCA$direction_update_l0_single( X = NULL, R = NULL, beta_init = NULL, l1norm = NULL, l0norm = NULL, trace = F )
direction_update_grid()mCCA$direction_update_grid( X = NULL, R = NULL, beta_init = NULL, norm_grids = NULL, trace = F, update = T, silence = F )
direction_cv_grid()mCCA$direction_cv_grid( nfolds = 10, foldid = NULL, seed = 2021, n.core = NULL, trace = F )
prediction()mCCA$prediction(xlist.te)
plot_cv_func()mCCA$plot_cv_func()
direction_grow()mCCA$direction_grow(model_idx = 1)
direction_grow_lazy()mCCA$direction_grow_lazy(out, norm)
clone()The objects of this class are cloneable with this method.
mCCA$clone(deep = FALSE)
deepWhether to make a deep clone.
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