Index

_

__init__() (torchdyno.data.datasets.hhar.HHARDataset method), [1] (torchdyno.data.datasets.lorenz_system.LorenzSystem method), [1] (torchdyno.data.datasets.memory_capacity.MemoryCapacityDataset method), [1] (torchdyno.data.datasets.seq_mnist.SequentialMNIST method), [1] (torchdyno.data.datasets.wesad.WESADDataset method), [1] (torchdyno.models.esn.esn.EchoStateNetwork method), [1] (torchdyno.models.esn.reservoir.Reservoir method), [1] (torchdyno.models.rnn_assembly.block_diagonal.BlockDiagonal method), [1] (torchdyno.models.rnn_assembly.rnn_assembly.RNNAssembly method), [1] (torchdyno.models.rnn_assembly.skew_symm_coupling.SkewAntisymmetricCoupling method), [1] (torchdyno.optim.intrinsic_plasticity.IntrinsicPlasticity method), [1]

A

apply_reservoirs() (torchdyno.models.esn.esn.EchoStateNetwork method), [1]

B

backward() (torchdyno.optim.intrinsic_plasticity.IntrinsicPlasticity method) block_diagonal() (in module torchdyno.models.initializers) block_diagonal_coupling() (in module torchdyno.models.initializers)

block_sizes (torchdyno.models.rnn_assembly.block_diagonal.BlockDiagonal property) BlockDiagonal (class in torchdyno.models.rnn_assembly.block_diagonal) blocks (torchdyno.models.rnn_assembly.block_diagonal.BlockDiagonal property)

C

compile() (torchdyno.optim.intrinsic_plasticity.IntrinsicPlasticity method) compress_ridge_matrices() (in module torchdyno.optim.ridge_regression) compute_ridge_matrices() (in module torchdyno.optim.ridge_regression)

compute_states() (torchdyno.models.rnn_assembly.rnn_assembly.RNNAssembly method) CONTEXTS (torchdyno.data.datasets.hhar.HHARDataset attribute) (torchdyno.data.datasets.wesad.WESADDataset attribute) couplings (torchdyno.models.rnn_assembly.skew_symm_coupling.SkewAntisymmetricCoupling property)

D

detach() (torchdyno.optim.intrinsic_plasticity.IntrinsicPlasticity method)

diagonal() (in module torchdyno.models.initializers)

E

EchoStateNetwork (class in torchdyno.models.esn.esn)

evaluate() (torchdyno.models.esn.esn.EchoStateNetwork method), [1]

F

fit_and_validate_readout() (in module torchdyno.optim.ridge_regression) fit_from_matrices() (torchdyno.models.esn.esn.EchoStateNetwork method), [1] fit_readout() (in module torchdyno.optim.ridge_regression) (torchdyno.models.esn.esn.EchoStateNetwork method), [1] (torchdyno.models.rnn_assembly.rnn_assembly.RNNAssembly method), [1]

forward() (torchdyno.models.esn.esn.EchoStateNetwork method), [1] (torchdyno.models.esn.reservoir.Reservoir method), [1] (torchdyno.models.rnn_assembly.block_diagonal.BlockDiagonal method), [1] (torchdyno.models.rnn_assembly.rnn_assembly.RNNAssembly method), [1] (torchdyno.models.rnn_assembly.skew_symm_coupling.SkewAntisymmetricCoupling method), [1] from_initializers() (torchdyno.models.rnn_assembly.rnn_assembly.RNNAssembly static method), [1]

G

get_coupling_indices() (in module torchdyno.models.rnn_assembly.skew_symm_coupling)

H

HHARDataset (class in torchdyno.data.datasets.hhar) hidden_size (torchdyno.models.esn.esn.EchoStateNetwork property), [1] (torchdyno.models.esn.reservoir.Reservoir property), [1] (torchdyno.models.rnn_assembly.rnn_assembly.RNNAssembly property)

I

input_size (torchdyno.models.esn.reservoir.Reservoir property), [1]

IntrinsicPlasticity (class in torchdyno.optim.intrinsic_plasticity)

L

layer_size (torchdyno.models.rnn_assembly.block_diagonal.BlockDiagonal property)

LorenzSystem (class in torchdyno.data.datasets.lorenz_system) lower_feedforward() (in module torchdyno.models.initializers)

M

MemoryCapacityDataset (class in torchdyno.data.datasets.memory_capacity) merge_reservoirs() (torchdyno.models.esn.reservoir.Reservoir method), [1] module torchdyno.data torchdyno.data.datasets torchdyno.data.datasets.hhar torchdyno.data.datasets.lorenz_system torchdyno.data.datasets.memory_capacity torchdyno.data.datasets.seq_mnist torchdyno.data.datasets.wesad torchdyno.data.utils torchdyno.data.utils.seq_loader torchdyno.models torchdyno.models.esn torchdyno.models.esn.esn torchdyno.models.esn.reservoir torchdyno.models.initializers torchdyno.models.rnn_assembly torchdyno.models.rnn_assembly.block_diagonal torchdyno.models.rnn_assembly.rnn_assembly torchdyno.models.rnn_assembly.skew_symm_coupling torchdyno.optim torchdyno.optim.intrinsic_plasticity torchdyno.optim.ridge_regression

N

n_blocks (torchdyno.models.rnn_assembly.block_diagonal.BlockDiagonal property)

normal() (in module torchdyno.models.initializers)

O

ones() (in module torchdyno.models.initializers)

orthogonal() (in module torchdyno.models.initializers)

P

preprocess() (torchdyno.data.datasets.hhar.HHARDataset method) (torchdyno.data.datasets.wesad.WESADDataset method)

processed_path (torchdyno.data.datasets.hhar.HHARDataset property) (torchdyno.data.datasets.wesad.WESADDataset property)

R

raw_path (torchdyno.data.datasets.hhar.HHARDataset property) (torchdyno.data.datasets.wesad.WESADDataset property) rescale() (in module torchdyno.models.initializers)

Reservoir (class in torchdyno.models.esn.reservoir) ring() (in module torchdyno.models.initializers) RNNAssembly (class in torchdyno.models.rnn_assembly.rnn_assembly)

S

seq_collate_fn() (in module torchdyno.data.utils.seq_loader) seq_length (torchdyno.data.datasets.hhar.HHARDataset property), [1] (torchdyno.data.datasets.wesad.WESADDataset property) SequentialMNIST (class in torchdyno.data.datasets.seq_mnist)

SkewAntisymmetricCoupling (class in torchdyno.models.rnn_assembly.skew_symm_coupling) solve_ab_decomposition() (in module torchdyno.optim.ridge_regression) sparse() (in module torchdyno.models.initializers) step() (torchdyno.optim.intrinsic_plasticity.IntrinsicPlasticity method)

T

TEST_SIZE (torchdyno.data.datasets.memory_capacity.MemoryCapacityDataset attribute) torchdyno.data module torchdyno.data.datasets module torchdyno.data.datasets.hhar module torchdyno.data.datasets.lorenz_system module torchdyno.data.datasets.memory_capacity module torchdyno.data.datasets.seq_mnist module torchdyno.data.datasets.wesad module torchdyno.data.utils module torchdyno.data.utils.seq_loader module torchdyno.models module torchdyno.models.esn module

torchdyno.models.esn.esn module torchdyno.models.esn.reservoir module torchdyno.models.initializers module torchdyno.models.rnn_assembly module torchdyno.models.rnn_assembly.block_diagonal module torchdyno.models.rnn_assembly.rnn_assembly module torchdyno.models.rnn_assembly.skew_symm_coupling module torchdyno.optim module torchdyno.optim.intrinsic_plasticity module torchdyno.optim.ridge_regression module TRAIN_SIZE (torchdyno.data.datasets.memory_capacity.MemoryCapacityDataset attribute)

U

uniform() (in module torchdyno.models.initializers)

USERS (torchdyno.data.datasets.hhar.HHARDataset attribute) (torchdyno.data.datasets.wesad.WESADDataset attribute)

V

validate_readout() (in module torchdyno.optim.ridge_regression)

W

WESADDataset (class in torchdyno.data.datasets.wesad)

Z

zeros() (in module torchdyno.models.initializers)