kooplearn.datasets

compute_prinz_potential_eig(gamma, sigma, dt)	Computes the eigenvalues and eigenfunctions of the Generator of the Overdamped Langevin dynamics for the Prinz potential.
compute_logistic_map_eig([M, eval_right_on, ...])	Compute eigenvalues and eigenfunctions of the Transfer operator.
compute_logistic_map_invariant_pdf([M, ...])	Compute the invariant probability density function.
fetch_ordered_mnist(*[, num_digits, ...])	Fetch the MNIST dataset and return an ordered subset interleaving samples from each digit class.
make_duffing(X0[, n_steps, dt, alpha, beta, ...])	Generate a trajectory from the Duffing oscillator.
make_linear_system(X0, A[, n_steps, noise, ...])	Generate a trajectory from a discrete-time linear dynamical system.
make_logistic_map(X0[, n_steps, r, M, dt, ...])	Generate a trajectory from the logistic map with optional trigonometric noise Ostruszka et al. [1].
make_lorenz63(X0[, n_steps, dt, sigma, mu, beta])	Generate a trajectory from the Lorenz-63 system.
make_prinz_potential(X0[, n_steps, dt, ...])	Generate a 1D Langevin trajectory for the "Prinz potential" Prinz et al. [1].
make_regime_switching_var(X0, phi1, phi2, ...)	Generate a trajectory from a regime-switching vector autoregressive (VAR) process.