Index

A

arg_constraints (skwdro.distributions.dirac_distribution.Dirac property)

B

BaseDualLoss (in module skwdro.solvers)

C

cast_to_size() (in module skwdro.distributions.dirac_distribution) check_all_params() (skwdro.solvers.optim_cond.OptCondTorch method) check_iter() (skwdro.solvers.optim_cond.OptCondTorch method) check_l() (skwdro.solvers.optim_cond.OptCondTorch method) check_metric() (skwdro.solvers.optim_cond.OptCondTorch method) check_t() (skwdro.solvers.optim_cond.OptCondTorch method)

check_tensor_validity() (in module skwdro.solvers.utils) combine_intersect() (in module skwdro.solvers.optim_cond) combine_union() (in module skwdro.solvers.optim_cond) CompositeOptimizer (class in skwdro.solvers.oracle_torch) current_samples (skwdro.solvers.DualPreSampledLoss property) (skwdro.solvers.oracle_torch.DualPreSampledLoss property)

D

decide_on_impsamp() (in module skwdro.wrap_problem) DEFAULT_OCOND (skwdro.linear_models.LogisticRegression attribute) detach_tensor() (in module skwdro.solvers) (in module skwdro.solvers.utils) diff_opt_tensor() (in module skwdro.solvers) (in module skwdro.solvers.utils) diff_tensor() (in module skwdro.solvers) (in module skwdro.solvers.utils)

Dirac (class in skwdro.distributions.dirac_distribution) dualize_primal_loss() (in module skwdro.wrap_problem) DualLoss (in module skwdro.solvers) (in module skwdro.solvers.oracle_torch) DualPostSampledLoss (class in skwdro.solvers) (class in skwdro.solvers.oracle_torch) DualPreSampledLoss (class in skwdro.solvers) (class in skwdro.solvers.oracle_torch)

E

entropy() (skwdro.distributions.dirac_distribution.Dirac method) enumerate_support() (skwdro.distributions.dirac_distribution.Dirac method) eval() (skwdro.operations_research.NewsVendor method) (skwdro.operations_research.Portfolio method) (skwdro.operations_research.Weber method)

expand() (skwdro.distributions.dirac_distribution.Dirac method) expert_hyperparams() (in module skwdro.wrap_problem) extract_data() (in module skwdro.solvers.entropic_dual_torch)

F

fit() (skwdro.linear_models.LinearRegression method) (skwdro.linear_models.LogisticRegression method) (skwdro.operations_research.NewsVendor method) (skwdro.operations_research.Portfolio method) (skwdro.operations_research.Weber method)

forward() (skwdro.solvers.DualPostSampledLoss method) (skwdro.solvers.DualPreSampledLoss method) (skwdro.solvers.oracle_torch.DualPostSampledLoss method) (skwdro.solvers.oracle_torch.DualPreSampledLoss method)

G

get_flat_grad() (skwdro.solvers.optim_cond.OptCondTorch class method)

get_flat_param() (skwdro.solvers.optim_cond.OptCondTorch class method)

H

has_rsample (skwdro.distributions.dirac_distribution.Dirac attribute) HybridAdam (class in skwdro.solvers.hybrid_opt)

HybridOpt (class in skwdro.solvers.hybrid_opt) HybridSGD (class in skwdro.solvers.hybrid_opt)

I

interpret_steps_struct() (in module skwdro.solvers.utils)

L

LinearRegression (class in skwdro.linear_models), [1] load_state_dict() (skwdro.solvers.oracle_torch.CompositeOptimizer method)

log_prob() (skwdro.distributions.dirac_distribution.Dirac method) LogisticRegression (class in skwdro.linear_models), [1]

M

maybe_detach_tensor() (in module skwdro.solvers.utils) maybe_flatten_grad_else_raise() (in module skwdro.solvers) (in module skwdro.solvers.utils) maybe_unsqueeze() (in module skwdro.solvers) (in module skwdro.solvers.utils) mean (skwdro.distributions.dirac_distribution.Dirac property) mode (skwdro.distributions.dirac_distribution.Dirac property) module skwdro skwdro.distributions skwdro.distributions.dirac_distribution skwdro.linear_models skwdro.operations_research skwdro.solvers skwdro.solvers.entropic_dual_torch skwdro.solvers.hybrid_opt skwdro.solvers.optim_cond skwdro.solvers.oracle_torch skwdro.solvers.result skwdro.solvers.specific_solvers skwdro.solvers.utils skwdro.tests skwdro.torch skwdro.wrap_problem

N

NewsVendor (class in skwdro.operations_research), [1] NoneGradError, [1] normalize_just_vects() (in module skwdro.solvers) (in module skwdro.solvers.utils)

normalize_maybe_vects() (in module skwdro.solvers) (in module skwdro.solvers.utils)

O

OptCondTorch (class in skwdro.solvers.optim_cond)

optim_postsample() (in module skwdro.solvers.entropic_dual_torch) optim_presample() (in module skwdro.solvers.entropic_dual_torch)

P

perplexity() (skwdro.distributions.dirac_distribution.Dirac method) Portfolio (class in skwdro.operations_research), [1] postrule() (in module skwdro.solvers.hybrid_opt) postrule_mwu() (in module skwdro.solvers.hybrid_opt) postrule_mwu_simplex() (in module skwdro.solvers.hybrid_opt) postrule_non_neg() (in module skwdro.solvers.hybrid_opt) power_from_parsed_spec() (in module skwdro.wrap_problem) predict() (skwdro.linear_models.LinearRegression method) (skwdro.linear_models.LogisticRegression method)

predict_proba() (skwdro.linear_models.LogisticRegression method) predict_proba_2Class() (skwdro.linear_models.LogisticRegression method) prerule() (in module skwdro.solvers.hybrid_opt) prerule_bound() (in module skwdro.solvers.hybrid_opt) prerule_mwu() (in module skwdro.solvers.hybrid_opt) prerule_mwu_simplex() (in module skwdro.solvers.hybrid_opt) presample (skwdro.solvers.DualPostSampledLoss property) (skwdro.solvers.DualPreSampledLoss property) (skwdro.solvers.oracle_torch.DualPostSampledLoss property) (skwdro.solvers.oracle_torch.DualPreSampledLoss property)

R

reset_lbd_state() (skwdro.solvers.oracle_torch.CompositeOptimizer method) reset_sampler_mean() (skwdro.solvers.DualPostSampledLoss method) (skwdro.solvers.oracle_torch.DualPostSampledLoss method)

robustify() (in module skwdro.torch) rsample() (skwdro.distributions.dirac_distribution.Dirac method) rule_max() (in module skwdro.solvers.hybrid_opt)

S

SAANewsvendorSpecificSolver() (in module skwdro.solvers.specific_solvers) SAANewsvendorSpecificSolver2() (in module skwdro.solvers.specific_solvers) score() (skwdro.operations_research.NewsVendor method) (skwdro.operations_research.Portfolio method) (skwdro.operations_research.Weber method) set_score_request() (skwdro.linear_models.LinearRegression method) (skwdro.linear_models.LogisticRegression method) skwdro module skwdro.distributions module skwdro.distributions.dirac_distribution module skwdro.linear_models module skwdro.operations_research module skwdro.solvers module skwdro.solvers.entropic_dual_torch module skwdro.solvers.hybrid_opt module

skwdro.solvers.optim_cond module skwdro.solvers.oracle_torch module skwdro.solvers.result module skwdro.solvers.specific_solvers module skwdro.solvers.utils module skwdro.tests module skwdro.torch module skwdro.wrap_problem module solve_dual_wdro() (in module skwdro.solvers.entropic_dual_torch), [1] SolverResult (class in skwdro.solvers.result) state_dict() (skwdro.solvers.oracle_torch.CompositeOptimizer method) step() (skwdro.solvers.hybrid_opt.HybridOpt method) (skwdro.solvers.oracle_torch.CompositeOptimizer method) support (skwdro.distributions.dirac_distribution.Dirac property)

V

variance (skwdro.distributions.dirac_distribution.Dirac property)

W

WDROLinRegSpecificSolver() (in module skwdro.solvers.specific_solvers), [1] WDROLogisticSpecificSolver() (in module skwdro.solvers.specific_solvers), [1] WDRONewsvendorSpecificSolver() (in module skwdro.solvers.specific_solvers), [1]

WDROPortfolioSpecificSolver() (in module skwdro.solvers.specific_solvers), [1] Weber (class in skwdro.operations_research) wrap() (in module skwdro.solvers.optim_cond) wrap_solver_result() (in module skwdro.solvers.result)

Z

zero_grad() (skwdro.solvers.oracle_torch.CompositeOptimizer method) zeta (skwdro.solvers.DualPreSampledLoss attribute) (skwdro.solvers.oracle_torch.DualPreSampledLoss attribute)

zeta_labels (skwdro.solvers.DualPreSampledLoss attribute) (skwdro.solvers.oracle_torch.DualPreSampledLoss attribute)