Index

A

Actuator (class in neuromancer.psl.nonautonomous) add() (in module neuromancer.arg) AggregateLoss (class in neuromancer.loss)

apply_custom_hooks() (neuromancer.trainer.LitTrainer method) ArgParser (class in neuromancer.arg) AugmentedLagrangeLoss (class in neuromancer.loss) Autoignition (class in neuromancer.psl.autonomous)

B

backward() (neuromancer.slim.linear.IdentityGradReLU static method) BarrierLoss (class in neuromancer.loss) BasicLogger (class in neuromancer.loggers) batch_tensor() (in module neuromancer.dataset) begin_epoch() (neuromancer.callbacks.Callback method) begin_eval() (neuromancer.callbacks.Callback method)

begin_test() (neuromancer.callbacks.Callback method) begin_train() (neuromancer.callbacks.Callback method) BoundedNormLinear (class in neuromancer.slim.linear) Brusselator1D (class in neuromancer.psl.autonomous) build_graphs() (neuromancer.dataset.GraphDataset method) build_T() (neuromancer.slim.linear.SchurDecompositionLinear method) ButterflyLinear (class in neuromancer.slim.linear)

C

calculate_constraints() (neuromancer.loss.AggregateLoss method) (neuromancer.loss.BarrierLoss method) calculate_objectives() (neuromancer.loss.AggregateLoss method) Callback (class in neuromancer.callbacks) cdf_qz() (neuromancer.slim.linear.L0Linear method) check_for_group() (neuromancer.arg.ArgParser method) check_keys() (neuromancer.constraint.Variable method) ChuaCircuit (class in neuromancer.psl.autonomous) clean_up() (neuromancer.loggers.BasicLogger method) (neuromancer.loggers.MLFlowLogger method)

collate_fn() (neuromancer.dataset.DictDataset method) (neuromancer.dataset.GraphDataset static method) (neuromancer.dataset.SequenceDataset method) (neuromancer.dataset.StaticDataset method) configure_optimizers() (neuromancer.problem.LitProblem method) Constraint (class in neuromancer.constraint) CSTR (class in neuromancer.psl.nonautonomous) ctrl_loss() (in module neuromancer.arg) CustomEarlyStopping (class in neuromancer.trainer)

D

DampedSkewSymmetricLinear (class in neuromancer.slim.linear) data() (in module neuromancer.arg) denormalize_01() (in module neuromancer.dataset) denormalize_11() (in module neuromancer.dataset) destandardize() (in module neuromancer.dataset)

device (neuromancer.slim.linear.LinearBase property) DictDataset (class in neuromancer.dataset) display_name (neuromancer.constraint.Variable property) DoublePendulum (class in neuromancer.psl.autonomous) Duffing (class in neuromancer.psl.autonomous) DuffingControl (class in neuromancer.psl.nonautonomous)

E

effective_W() (neuromancer.slim.linear.ButterflyLinear method) (neuromancer.slim.linear.DampedSkewSymmetricLinear method) (neuromancer.slim.linear.GershgorinLinear method) (neuromancer.slim.linear.L0Linear method) (neuromancer.slim.linear.LassoLinear method) (neuromancer.slim.linear.LassoLinearRELU method) (neuromancer.slim.linear.LeftStochasticLinear method) (neuromancer.slim.linear.Linear method) (neuromancer.slim.linear.LinearBase method) (neuromancer.slim.linear.NonNegativeLinear method) (neuromancer.slim.linear.OrthogonalLinear method) (neuromancer.slim.linear.PerronFrobeniusLinear method) (neuromancer.slim.linear.PowerBoundLinear method) (neuromancer.slim.linear.PSDLinear method) (neuromancer.slim.linear.RightStochasticLinear method) (neuromancer.slim.linear.SchurDecompositionLinear method) (neuromancer.slim.linear.SkewSymmetricLinear method) (neuromancer.slim.linear.SpectralLinear method) (neuromancer.slim.linear.SplitLinear method) (neuromancer.slim.linear.SquareLinear method) (neuromancer.slim.linear.StableSplitLinear method) (neuromancer.slim.linear.SVDLinear method) (neuromancer.slim.linear.SymmetricLinear method) (neuromancer.slim.linear.SymplecticLinear method) (neuromancer.slim.linear.TrivialNullSpaceLinear method) eig() (neuromancer.slim.linear.LinearBase method) eig_v_estimate() (neuromancer.slim.linear.PowerBoundLinear method) end_batch() (neuromancer.callbacks.Callback method) end_epoch() (neuromancer.callbacks.Callback method) end_eval() (neuromancer.callbacks.Callback method)

end_test() (neuromancer.callbacks.Callback method) end_train() (neuromancer.callbacks.Callback method) Eq (class in neuromancer.constraint) equations() (neuromancer.psl.autonomous.Autoignition method) (neuromancer.psl.autonomous.Brusselator1D method) (neuromancer.psl.autonomous.ChuaCircuit method) (neuromancer.psl.autonomous.DoublePendulum method) (neuromancer.psl.autonomous.Duffing method) (neuromancer.psl.autonomous.LorenzSystem method) (neuromancer.psl.autonomous.LotkaVolterra method) (neuromancer.psl.autonomous.Pendulum method) (neuromancer.psl.autonomous.RosslerAttractor method) (neuromancer.psl.autonomous.ThomasAttractor method) (neuromancer.psl.autonomous.UniversalOscillator method) (neuromancer.psl.autonomous.VanDerPol method) (neuromancer.psl.nonautonomous.Actuator method) (neuromancer.psl.nonautonomous.CSTR method) (neuromancer.psl.nonautonomous.DuffingControl method) (neuromancer.psl.nonautonomous.HindmarshRose method) (neuromancer.psl.nonautonomous.InvPendulum method) (neuromancer.psl.nonautonomous.IverSimple method) (neuromancer.psl.nonautonomous.LorenzControl method) (neuromancer.psl.nonautonomous.SEIR_population method) (neuromancer.psl.nonautonomous.SwingEquation method) (neuromancer.psl.nonautonomous.Tank method) (neuromancer.psl.nonautonomous.ThomasAttractorControl method) (neuromancer.psl.nonautonomous.TwoTank method) (neuromancer.psl.nonautonomous.VanDerPolControl method) evaluate() (neuromancer.trainer.Trainer method) expected_signatures (neuromancer.problem.LitProblem attribute)

F

fit() (neuromancer.trainer.LitTrainer method) forward() (neuromancer.constraint.Constraint method) (neuromancer.constraint.Eq method) (neuromancer.constraint.GT method) (neuromancer.constraint.Loss method) (neuromancer.constraint.LT method) (neuromancer.constraint.Objective method) (neuromancer.constraint.Variable method) (neuromancer.loss.AggregateLoss method) (neuromancer.loss.AugmentedLagrangeLoss method) (neuromancer.loss.GPPHSLoss method) (neuromancer.loss.PenaltyLoss method) (neuromancer.problem.Problem method) (neuromancer.slim.linear.ButterflyLinear method) (neuromancer.slim.linear.IdentityGradReLU static method) (neuromancer.slim.linear.LassoLinear method) (neuromancer.slim.linear.Linear method) (neuromancer.slim.linear.LinearBase method) (neuromancer.slim.linear.OrthogonalLinear method) (neuromancer.slim.linear.SpectralLinear method) (neuromancer.slim.rnn.RNN method) (neuromancer.slim.rnn.RNNCell method)

freeze() (in module neuromancer.arg) (neuromancer.problem.Problem method)

G

GershgorinLinear (class in neuromancer.slim.linear) get_eps() (neuromancer.slim.linear.L0Linear method) get_full_batch() (neuromancer.dataset.SequenceDataset method) (neuromancer.dataset.StaticDataset method) get_full_sequence() (neuromancer.dataset.SequenceDataset method) get_gpphs_dataloaders() (in module neuromancer.dataset) get_loss() (in module neuromancer.loss) get_losses() (neuromancer.loggers.LossLogger method) get_problem() (neuromancer.problem.LitProblem method) get_sequence_dataloaders() (in module neuromancer.dataset) get_static_dataloaders() (in module neuromancer.dataset) get_U() (neuromancer.psl.nonautonomous.Actuator method) (neuromancer.psl.nonautonomous.CSTR method) (neuromancer.psl.nonautonomous.DuffingControl method) (neuromancer.psl.nonautonomous.HindmarshRose method) (neuromancer.psl.nonautonomous.InvPendulum method) (neuromancer.psl.nonautonomous.IverSimple method) (neuromancer.psl.nonautonomous.LorenzControl method) (neuromancer.psl.nonautonomous.SEIR_population method) (neuromancer.psl.nonautonomous.SwingEquation method) (neuromancer.psl.nonautonomous.Tank method) (neuromancer.psl.nonautonomous.ThomasAttractorControl method) (neuromancer.psl.nonautonomous.TwoTank method) (neuromancer.psl.nonautonomous.VanDerPolControl method)

get_value() (neuromancer.constraint.Variable method) get_weights() (neuromancer.trainer.LitTrainer method) get_x0() (neuromancer.psl.nonautonomous.CSTR method) (neuromancer.psl.nonautonomous.Tank method) (neuromancer.psl.nonautonomous.TwoTank method) GPPHSLoss (class in neuromancer.loss) grad() (neuromancer.constraint.Constraint method) (neuromancer.constraint.Loss method) (neuromancer.constraint.Objective method) (neuromancer.constraint.Variable method) gradient() (in module neuromancer.gradients) graph() (neuromancer.problem.Problem method) GraphDataset (class in neuromancer.dataset) group() (neuromancer.arg.ArgParser method) GT (class in neuromancer.constraint)

H

HindmarshRose (class in neuromancer.psl.nonautonomous)

Hprod() (in module neuromancer.slim.linear)

I

IdentityGradReLU (class in neuromancer.slim.linear) IdentityInitLinear (class in neuromancer.slim.linear)

IdentityLinear (class in neuromancer.slim.linear) InvPendulum (class in neuromancer.psl.nonautonomous) IverSimple (class in neuromancer.psl.nonautonomous)

J

jacobian() (in module neuromancer.gradients)

K

key (neuromancer.constraint.Variable property)

keys (neuromancer.constraint.Variable property)

L

L0Linear (class in neuromancer.slim.linear) LassoLinear (class in neuromancer.slim.linear) LassoLinearRELU (class in neuromancer.slim.linear) LeftStochasticLinear (class in neuromancer.slim.linear) lin() (in module neuromancer.arg) Linear (class in neuromancer.slim.linear) LinearBase (class in neuromancer.slim.linear) LitDataModule (class in neuromancer.dataset) LitProblem (class in neuromancer.problem) LitTrainer (class in neuromancer.trainer) log() (in module neuromancer.arg) log_artifacts() (neuromancer.loggers.BasicLogger method) (neuromancer.loggers.MLFlowLogger method)

log_metrics() (neuromancer.loggers.BasicLogger method) (neuromancer.loggers.LossLogger method) (neuromancer.loggers.MLFlowLogger method) log_parameters() (neuromancer.loggers.BasicLogger method) (neuromancer.loggers.MLFlowLogger method) log_weights() (neuromancer.loggers.BasicLogger method) (neuromancer.loggers.MLFlowLogger method) LorenzControl (class in neuromancer.psl.nonautonomous) LorenzSystem (class in neuromancer.psl.autonomous) Loss (class in neuromancer.constraint) loss() (in module neuromancer.arg) LossLogger (class in neuromancer.loggers) LotkaVolterra (class in neuromancer.psl.autonomous) LT (class in neuromancer.constraint)

M

make_graph() (neuromancer.constraint.Variable method) make_map() (neuromancer.dataset.GraphDataset method) minimize() (neuromancer.constraint.Variable method) MLFlowLogger (class in neuromancer.loggers) module neuromancer.activations neuromancer.arg neuromancer.blocks neuromancer.callbacks neuromancer.constraint neuromancer.dataset neuromancer.dynamics neuromancer.gradients neuromancer.loggers neuromancer.loss neuromancer.ode neuromancer.problem neuromancer.psl.autonomous neuromancer.psl.nonautonomous neuromancer.rnn neuromancer.slim.linear neuromancer.slim.rnn neuromancer.solvers neuromancer.trainer

move_batch_to_device() (in module neuromancer.trainer) mT (neuromancer.constraint.Variable property)

N

neuromancer.activations module neuromancer.arg module neuromancer.blocks module neuromancer.callbacks module neuromancer.constraint module neuromancer.dataset module neuromancer.dynamics module neuromancer.gradients module neuromancer.loggers module neuromancer.loss module neuromancer.ode module

neuromancer.problem module neuromancer.psl.autonomous module neuromancer.psl.nonautonomous module neuromancer.rnn module neuromancer.slim.linear module neuromancer.slim.rnn module neuromancer.solvers module neuromancer.trainer module NonNegativeLinear (class in neuromancer.slim.linear) normalize_01() (in module neuromancer.dataset) normalize_11() (in module neuromancer.dataset) normalize_data() (in module neuromancer.dataset)

O

Objective (class in neuromancer.constraint) on_train_epoch_end() (neuromancer.problem.LitProblem method)

opt() (in module neuromancer.arg) orthogonal_error() (neuromancer.slim.linear.SVDLinear method) OrthogonalLinear (class in neuromancer.slim.linear)

P

params (neuromancer.psl.autonomous.Autoignition property) (neuromancer.psl.autonomous.Brusselator1D property) (neuromancer.psl.autonomous.ChuaCircuit property) (neuromancer.psl.autonomous.DoublePendulum property) (neuromancer.psl.autonomous.Duffing property) (neuromancer.psl.autonomous.LorenzSystem property) (neuromancer.psl.autonomous.LotkaVolterra property) (neuromancer.psl.autonomous.Pendulum property) (neuromancer.psl.autonomous.RosslerAttractor property) (neuromancer.psl.autonomous.ThomasAttractor property) (neuromancer.psl.autonomous.UniversalOscillator property) (neuromancer.psl.autonomous.VanDerPol property) (neuromancer.psl.nonautonomous.Actuator property) (neuromancer.psl.nonautonomous.CSTR property) (neuromancer.psl.nonautonomous.DuffingControl property) (neuromancer.psl.nonautonomous.HindmarshRose property) (neuromancer.psl.nonautonomous.InvPendulum property) (neuromancer.psl.nonautonomous.IverSimple property) (neuromancer.psl.nonautonomous.LorenzControl property) (neuromancer.psl.nonautonomous.SEIR_population property) (neuromancer.psl.nonautonomous.SwingEquation property) (neuromancer.psl.nonautonomous.Tank property) (neuromancer.psl.nonautonomous.ThomasAttractorControl property) (neuromancer.psl.nonautonomous.TwoTank property) (neuromancer.psl.nonautonomous.VanDerPolControl property)

parse_arg_groups() (neuromancer.arg.ArgParser method) PenaltyLoss (class in neuromancer.loss) Pendulum (class in neuromancer.psl.autonomous) PerronFrobeniusLinear (class in neuromancer.slim.linear) policy() (in module neuromancer.arg) PowerBoundLinear (class in neuromancer.slim.linear) Problem (class in neuromancer.problem) PSDLinear (class in neuromancer.slim.linear)

Q

quantile_concrete() (neuromancer.slim.linear.L0Linear method)

R

read_file() (in module neuromancer.dataset) reg_error() (neuromancer.slim.linear.BoundedNormLinear method) (neuromancer.slim.linear.L0Linear method) (neuromancer.slim.linear.LassoLinear method) (neuromancer.slim.linear.LassoLinearRELU method) (neuromancer.slim.linear.LinearBase method) (neuromancer.slim.linear.PowerBoundLinear method) (neuromancer.slim.linear.SchurDecompositionLinear method) (neuromancer.slim.linear.SVDLinear method) (neuromancer.slim.rnn.RNN method) (neuromancer.slim.rnn.RNNCell method)

RightStochasticLinear (class in neuromancer.slim.linear) RNN (class in neuromancer.slim.rnn) RNNCell (class in neuromancer.slim.rnn) RosslerAttractor (class in neuromancer.psl.autonomous)

S

SchurDecompositionLinear (class in neuromancer.slim.linear) SEIR_population (class in neuromancer.psl.nonautonomous) SequenceDataset (class in neuromancer.dataset) set_transform() (neuromancer.constraint.Variable method) setup() (neuromancer.dataset.LitDataModule method) show() (neuromancer.constraint.Variable method) (neuromancer.problem.Problem method) shuffle() (neuromancer.dataset.GraphDataset method) Sigma() (neuromancer.slim.linear.SpectralLinear method) SkewSymmetricLinear (class in neuromancer.slim.linear) SpectralLinear (class in neuromancer.slim.linear) split_sequence_data() (in module neuromancer.dataset) split_static_data() (in module neuromancer.dataset)

SplitLinear (class in neuromancer.slim.linear) SquareLinear (class in neuromancer.slim.linear) ssm() (in module neuromancer.arg) StableSplitLinear (class in neuromancer.slim.linear) standardize() (in module neuromancer.dataset) StaticDataset (class in neuromancer.dataset) step() (neuromancer.problem.Problem method) SVDLinear (class in neuromancer.slim.linear) SVDLinearLearnBounds (class in neuromancer.slim.linear) SwingEquation (class in neuromancer.psl.nonautonomous) SymmetricLinear (class in neuromancer.slim.linear) SymmetricSpectralLinear (class in neuromancer.slim.linear) SymmetricSVDLinear (class in neuromancer.slim.linear) SymplecticLinear (class in neuromancer.slim.linear)

T

T (neuromancer.constraint.Variable property) Tank (class in neuromancer.psl.nonautonomous) test() (neuromancer.trainer.Trainer method) test_dataloader() (neuromancer.dataset.LitDataModule method) ThomasAttractor (class in neuromancer.psl.autonomous) ThomasAttractorControl (class in neuromancer.psl.nonautonomous)

train() (neuromancer.trainer.Trainer method) train_dataloader() (neuromancer.dataset.LitDataModule method) Trainer (class in neuromancer.trainer) training_step() (neuromancer.problem.LitProblem method) TrivialNullSpaceLinear (class in neuromancer.slim.linear) TwoTank (class in neuromancer.psl.nonautonomous)

U

u_fun() (neuromancer.psl.nonautonomous.LorenzControl method) umax (neuromancer.psl.nonautonomous.TwoTank property) umin (neuromancer.psl.nonautonomous.TwoTank property) Umultiply() (neuromancer.slim.linear.SpectralLinear method)

unbatch_tensor() (in module neuromancer.dataset) unfreeze() (neuromancer.problem.Problem method) UniversalOscillator (class in neuromancer.psl.autonomous) unpack (neuromancer.constraint.Variable attribute) update_name() (neuromancer.constraint.Constraint method)

V

val_dataloader() (neuromancer.dataset.LitDataModule method) validation_step() (neuromancer.problem.LitProblem method) value (neuromancer.constraint.Variable property) VanDerPol (class in neuromancer.psl.autonomous) VanDerPolControl (class in neuromancer.psl.nonautonomous)

Variable (class in neuromancer.constraint) variable() (in module neuromancer.constraint) variable_names (neuromancer.constraint.Constraint property) (neuromancer.constraint.Objective property) Vmultiply() (neuromancer.slim.linear.SpectralLinear method)