sparse2_l1_l1.sparse2_l1vsl1
- class sparse2_l1_l1.sparse2_l1vsl1(mu=0.01, V1=100, V2=100, eta_alpha='auto', eta_w1='auto', eta_beta='auto', eta_w2='auto', n_iter=2000, tol=0.01, sparsity=None, fit_intercept=True)[source]
Sparse Linear NPIV estimator using $ell_1-ell_1$ optimization for nested NPIV.
This class solves the high-dimensional sparse linear problem using $ell_1$ relaxations for the minimax optimization problem in a nested NPIV setting.
- Parameters
_SparseLinear2AdversarialGMM. (Same as) –