skglm.solvers.MultiTaskBCD#
- class skglm.solvers.MultiTaskBCD(max_iter=100, max_epochs=50000, p0=10, tol=1e-06, use_acc=True, ws_strategy='subdiff', fit_intercept=True, warm_start=False, verbose=0)[source]#
Block coordinate descent solver for multi-task problems.
- __init__(max_iter=100, max_epochs=50000, p0=10, tol=1e-06, use_acc=True, ws_strategy='subdiff', fit_intercept=True, warm_start=False, verbose=0)[source]#
Methods
__init__
([max_iter, max_epochs, p0, tol, ...])path
(X, Y, datafit, penalty, alphas[, ...])solve
(X, Y, datafit, penalty[, W_init, XW_init])Solve an optimization problem.