Index _ | A | B | C | D | E | F | G | H | I | L | M | N | P | R | S | T | U | V | X | Y _ __add__() (rlaopt.expression.Expression method) __eq__() (rlaopt.expression.ExprTree method) __getitem__() (rlaopt.data.BatchedDataset method) (rlaopt.data.Dataset method) __hash__() (rlaopt.expression.ExprTree method) __init__() (rlaopt.atoms.Atom method) (rlaopt.atoms.Box method) (rlaopt.atoms.CompoundPoissonGammaRegression method) (rlaopt.atoms.ElasticNet method) (rlaopt.atoms.GammaRegression method) (rlaopt.atoms.Halfspace method) (rlaopt.atoms.HuberRegression method) (rlaopt.atoms.InverseGaussianRegression method) (rlaopt.atoms.L1Norm method) (rlaopt.atoms.L2Norm method) (rlaopt.atoms.LinearEquality method) (rlaopt.atoms.LinearRegression method) (rlaopt.atoms.LInfNormBall method) (rlaopt.atoms.LogisticRegression method) (rlaopt.atoms.MultinomialRegression method) (rlaopt.atoms.NonNegative method) (rlaopt.atoms.NucNorm method) (rlaopt.atoms.PoissonRegression method) (rlaopt.atoms.Polyhedron method) (rlaopt.atoms.SumSquares method) (rlaopt.data.BatchedDataset method) (rlaopt.data.DataLoader method) (rlaopt.data.Dataset method) (rlaopt.expression.Constant method) (rlaopt.expression.Expression method) (rlaopt.expression.ExprTree method) (rlaopt.expression.Variable method) (rlaopt.linalg.LinSys method) (rlaopt.solvers.ADMM method) (rlaopt.solvers.PCG method) (rlaopt.solvers.ProxGrad method) __len__() (rlaopt.data.BatchedDataset method) __matmul__() (rlaopt.expression.Expression method) __mul__() (rlaopt.expression.Expression method) __neg__() (rlaopt.expression.Constant method) (rlaopt.expression.Expression method) __pow__() (rlaopt.expression.Expression method) __radd__() (rlaopt.expression.Expression method) __repr__() (rlaopt.data.Dataset method) (rlaopt.expression.ExprTree method) (rlaopt.expression.Variable method) __rmatmul__() (rlaopt.expression.Expression method) __rmul__() (rlaopt.expression.Expression method) __rsub__() (rlaopt.expression.Expression method) __str__() (rlaopt.expression.ExprTree method) (rlaopt.expression.Variable method) __sub__() (rlaopt.expression.Expression method) __truediv__() (rlaopt.expression.Expression method) _value (rlaopt.expression.Constant attribute) A ADMM (class in rlaopt.solvers) ADMMResult (class in rlaopt.solvers) alpha (rlaopt.solvers.ADMMConfig attribute) Atom (class in rlaopt.atoms) auto_update_stepsize (rlaopt.solvers.ProxGradConfig attribute) B base_damping (rlaopt.linalg.NystromConfig attribute) BatchedDataset (class in rlaopt.data) Box (class in rlaopt.atoms) C CompoundPoissonGammaRegression (class in rlaopt.atoms) compute_residual() (rlaopt.linalg.LinSys method) compute_residual_norm() (rlaopt.linalg.LinSys method) Constant (class in rlaopt.expression) CONVERGED (rlaopt.solvers.ConvergenceStatus attribute), [1] convergence_status (rlaopt.solvers.ADMMResult attribute) (rlaopt.solvers.PCGResult attribute) ConvergenceStatus (class in rlaopt.solvers) count_nodes() (rlaopt.expression.ExprTree method) D damping_mode (rlaopt.linalg.NystromConfig attribute) DataLoader (class in rlaopt.data) Dataset (class in rlaopt.data) delta (rlaopt.atoms.HuberRegression attribute) (rlaopt.atoms.HuberRegression property) depth() (rlaopt.expression.ExprTree method) device (rlaopt.data.Dataset property) (rlaopt.linalg.LinSys property) dtype (rlaopt.data.Dataset property) (rlaopt.linalg.LinSys property) dual_residual_norm (rlaopt.solvers.ADMMResult attribute), [1] E ElasticNet (class in rlaopt.atoms) eps_abs (rlaopt.solvers.ADMMStoppingCriteria attribute) eps_rel (rlaopt.solvers.ADMMStoppingCriteria attribute) error_tolerance (rlaopt.linalg.NystromConfig attribute) eta (rlaopt.solvers.ProxGradConfig attribute) evaluate() (rlaopt.expression.Expression method) Expression (class in rlaopt.expression) ExprTree (class in rlaopt.expression) F feature_dimension (rlaopt.data.BatchedDataset property) (rlaopt.data.Dataset property) forward() (rlaopt.atoms.ElasticNet method) (rlaopt.atoms.L1Norm method) (rlaopt.atoms.L2Norm method) (rlaopt.atoms.NucNorm method) (rlaopt.atoms.Polyhedron method) (rlaopt.atoms.SumSquares method) (rlaopt.expression.Constant method) (rlaopt.expression.Expression method) (rlaopt.expression.Variable method) (rlaopt.linalg.LinSys method) from_numpy() (rlaopt.data.Dataset class method) from_pandas() (rlaopt.data.Dataset class method) G gamma (rlaopt.solvers.ADMMConfig attribute) GammaRegression (class in rlaopt.atoms) get_batch() (rlaopt.data.DataLoader method) get_variable_names() (rlaopt.expression.Expression method) get_variable_shapes() (rlaopt.expression.Expression method) H Halfspace (class in rlaopt.atoms) HuberRegression (class in rlaopt.atoms) I id (rlaopt.expression.Variable property) init_state() (rlaopt.solvers.ADMM method) (rlaopt.solvers.PCG method) (rlaopt.solvers.ProxGrad method) InverseGaussianRegression (class in rlaopt.atoms) is_affine() (rlaopt.expression.Constant method) (rlaopt.expression.Expression method) (rlaopt.expression.Variable method) is_proxable() (rlaopt.atoms.Atom method) (rlaopt.atoms.Box method) (rlaopt.atoms.Halfspace method) (rlaopt.atoms.LinearEquality method) (rlaopt.atoms.Polyhedron method) (rlaopt.atoms.SumSquares method) is_smooth() (rlaopt.atoms.Polyhedron method) (rlaopt.atoms.SumSquares method) (rlaopt.expression.Constant method) (rlaopt.expression.Expression method) (rlaopt.expression.Variable method) L L1Norm (class in rlaopt.atoms) L1NormBall (class in rlaopt.atoms) L2Norm (class in rlaopt.atoms) L2NormBall (class in rlaopt.atoms) LinearEquality (class in rlaopt.atoms) LinearRegression (class in rlaopt.atoms) LInfNormBall (class in rlaopt.atoms) LinSys (class in rlaopt.linalg) LogisticRegression (class in rlaopt.atoms) M max_iters (rlaopt.solvers.ADMMStoppingCriteria attribute) (rlaopt.solvers.PCGStoppingCriteria attribute), [1] module rlaopt.atoms rlaopt.data rlaopt.expression rlaopt.linalg rlaopt.solvers MultinomialRegression (class in rlaopt.atoms) N name (rlaopt.expression.Variable property) None (rlaopt.expression.Expression attribute) NonNegative (class in rlaopt.atoms) NOT_CONVERGED (rlaopt.solvers.ConvergenceStatus attribute), [1] NucNorm (class in rlaopt.atoms) num_iters (rlaopt.solvers.ADMMResult attribute) (rlaopt.solvers.PCGResult attribute) num_power_iters (rlaopt.linalg.NystromConfig attribute) num_samples (rlaopt.data.BatchedDataset property) (rlaopt.data.Dataset property) P PCG (class in rlaopt.solvers) PCGResult (class in rlaopt.solvers) PoissonRegression (class in rlaopt.atoms) Polyhedron (class in rlaopt.atoms) power (rlaopt.atoms.CompoundPoissonGammaRegression attribute) (rlaopt.atoms.CompoundPoissonGammaRegression property) precond_config (rlaopt.solvers.ProxGradConfig attribute) precond_update_freq (rlaopt.solvers.ProxGradConfig attribute) preconditioner_config (rlaopt.solvers.ADMMConfig attribute) (rlaopt.solvers.PCGConfig attribute) preconditioner_update_freq (rlaopt.solvers.ADMMConfig attribute) primal_residual_norm (rlaopt.solvers.ADMMResult attribute), [1] ProxGrad (class in rlaopt.solvers) R rank_init (rlaopt.linalg.NystromConfig attribute) rank_max (rlaopt.linalg.NystromConfig attribute) residual_norm (rlaopt.solvers.PCGResult attribute), [1] rho (rlaopt.solvers.ADMMConfig attribute) rho_update_factor (rlaopt.solvers.ADMMConfig attribute) rho_update_freq (rlaopt.solvers.ADMMConfig attribute) rho_update_threshold (rlaopt.solvers.ADMMConfig attribute) rhs_norm (rlaopt.linalg.LinSys property) rlaopt.atoms module rlaopt.data module rlaopt.expression module rlaopt.linalg module rlaopt.solvers module S select_relevant_variables() (rlaopt.expression.Expression method) shuffle (rlaopt.data.DataLoader property) sigma (rlaopt.solvers.ADMMConfig attribute) solution (rlaopt.solvers.PCGResult attribute) solve() (rlaopt.solvers.ADMM method) (rlaopt.solvers.PCG method) solver_time (rlaopt.solvers.ADMMResult attribute) (rlaopt.solvers.PCGResult attribute) step() (rlaopt.solvers.ADMM method) (rlaopt.solvers.PCG method) (rlaopt.solvers.ProxGrad method) subproblem_iters (rlaopt.solvers.ProxGradConfig attribute) sum() (rlaopt.expression.Expression method) SumSquares (class in rlaopt.atoms) T T (rlaopt.expression.Expression property) target_dimension (rlaopt.data.BatchedDataset property) (rlaopt.data.Dataset property) to() (rlaopt.data.Dataset method) tol (rlaopt.solvers.PCGStoppingCriteria attribute), [1] transpose() (rlaopt.expression.Expression method) tree() (rlaopt.atoms.Atom method) (rlaopt.expression.Constant method) (rlaopt.expression.Expression method) (rlaopt.expression.Variable method) U update_variables() (rlaopt.expression.Expression method) use_acceleration (rlaopt.solvers.ProxGradConfig attribute) use_linesearch (rlaopt.solvers.ProxGradConfig attribute) V value (rlaopt.expression.Constant property) (rlaopt.expression.Variable property) Variable (class in rlaopt.expression) variable_values (rlaopt.expression.Expression property) (rlaopt.solvers.ADMMResult attribute) X X (rlaopt.data.Dataset property) Y y (rlaopt.data.DataLoader attribute) (rlaopt.data.DataLoader property) (rlaopt.data.Dataset property)