Files Coverage
src/probnum/__init__.py 84.62%
src/probnum/_config.py 100.00%
src/probnum/_probabilistic_numerical_method.py 90.00%
src/probnum/_randomvariablelist.py 84.13%
src/probnum/diffeq/__init__.py 100.00%
src/probnum/diffeq/_odesolution.py 100.00%
src/probnum/diffeq/_odesolver.py 100.00%
src/probnum/diffeq/_perturbsolve_ivp.py 100.00%
src/probnum/diffeq/_probsolve_ivp.py 100.00%
src/probnum/diffeq/odefiltsmooth/__init__.py 100.00%
src/probnum/diffeq/odefiltsmooth/_ivpfiltsmooth.py 97.59%
src/probnum/diffeq/odefiltsmooth/_kalman_odesolution.py 90.91%
src/probnum/diffeq/odefiltsmooth/initialization_routines/__init__.py 100.00%
...num/diffeq/odefiltsmooth/initialization_routines/_initialization_routine.py 100.00%
src/probnum/diffeq/odefiltsmooth/initialization_routines/_runge_kutta.py 100.00%
src/probnum/diffeq/odefiltsmooth/initialization_routines/_taylor_mode.py 95.00%
src/probnum/diffeq/perturbed/__init__.py 100.00%
src/probnum/diffeq/perturbed/scipy_wrapper/__init__.py 100.00%
src/probnum/diffeq/perturbed/scipy_wrapper/_wrapped_scipy_odesolution.py 100.00%
src/probnum/diffeq/perturbed/scipy_wrapper/_wrapped_scipy_solver.py 100.00%
src/probnum/diffeq/perturbed/step/__init__.py 100.00%
src/probnum/diffeq/perturbed/step/_perturbation_functions.py 89.47%
src/probnum/diffeq/perturbed/step/_perturbedstepsolution.py 100.00%
src/probnum/diffeq/perturbed/step/_perturbedstepsolver.py 100.00%
src/probnum/diffeq/stepsize/__init__.py 100.00%
src/probnum/diffeq/stepsize/_propose_firststep.py 100.00%
src/probnum/diffeq/stepsize/_steprule.py 100.00%
src/probnum/filtsmooth/__init__.py 100.00%
src/probnum/filtsmooth/_bayesfiltsmooth.py 100.00%
src/probnum/filtsmooth/_kalman_filter_smoother.py 100.00%
src/probnum/filtsmooth/_timeseriesposterior.py 96.88%
src/probnum/filtsmooth/gaussian/__init__.py 100.00%
src/probnum/filtsmooth/gaussian/_kalman.py 67.74%
src/probnum/filtsmooth/gaussian/_kalmanposterior.py 84.80%
src/probnum/filtsmooth/gaussian/approx/__init__.py 100.00%
src/probnum/filtsmooth/gaussian/approx/_extendedkalman.py 97.33%
src/probnum/filtsmooth/gaussian/approx/_unscentedkalman.py 88.68%
src/probnum/filtsmooth/gaussian/approx/_unscentedtransform.py 95.92%
src/probnum/filtsmooth/optim/__init__.py 100.00%
src/probnum/filtsmooth/optim/_gauss_newton.py 100.00%
src/probnum/filtsmooth/optim/_iterated_component.py 85.19%
src/probnum/filtsmooth/optim/_state_space_optimizer.py 88.24%
src/probnum/filtsmooth/optim/_stoppingcriterion.py 100.00%
src/probnum/filtsmooth/particle/__init__.py 100.00%
src/probnum/filtsmooth/particle/_importance_distributions.py 92.16%
src/probnum/filtsmooth/particle/_particle_filter.py 95.83%
src/probnum/filtsmooth/particle/_particle_filter_posterior.py 100.00%
src/probnum/filtsmooth/utils/__init__.py 100.00%
src/probnum/filtsmooth/utils/_merge_regression_problems.py 100.00%
src/probnum/kernels/__init__.py 100.00%
src/probnum/kernels/_exponentiated_quadratic.py 100.00%
src/probnum/kernels/_kernel.py 84.31%
src/probnum/kernels/_linear.py 100.00%
src/probnum/kernels/_matern.py 94.44%
src/probnum/kernels/_polynomial.py 100.00%
src/probnum/kernels/_rational_quadratic.py 100.00%
src/probnum/kernels/_white_noise.py 100.00%
src/probnum/linalg/__init__.py 100.00%
src/probnum/linalg/_problinsolve.py 53.26%
src/probnum/linalg/solvers/__init__.py 100.00%
src/probnum/linalg/solvers/_probabilistic_linear_solver.py 100.00%
src/probnum/linalg/solvers/_state.py 100.00%
src/probnum/linalg/solvers/beliefs/__init__.py 100.00%
src/probnum/linalg/solvers/beliefs/_linear_system_belief.py 76.92%
src/probnum/linalg/solvers/matrixbased.py 73.75%
src/probnum/linalg/solvers/policies/__init__.py 100.00%
src/probnum/linalg/solvers/policies/_conjugate_gradient.py 100.00%
src/probnum/linalg/solvers/policies/_linear_solver_policy.py 100.00%
src/probnum/linalg/solvers/policies/_random_unit_vector.py 100.00%
src/probnum/linops/__init__.py 100.00%
src/probnum/linops/_arithmetic.py 68.55%
src/probnum/linops/_kronecker.py 86.00%
src/probnum/linops/_linear_operator.py 82.65%
src/probnum/linops/_scaling.py 81.82%
src/probnum/linops/_utils.py 69.23%
src/probnum/problems/__init__.py 100.00%
src/probnum/problems/_problems.py 84.91%
src/probnum/problems/zoo/diffeq/__init__.py 100.00%
src/probnum/problems/zoo/diffeq/_ivp_examples.py 92.44%
src/probnum/problems/zoo/diffeq/_ivp_examples_jax.py 87.27%
src/probnum/problems/zoo/filtsmooth/__init__.py 100.00%
src/probnum/problems/zoo/filtsmooth/_filtsmooth_problems.py 92.66%
src/probnum/problems/zoo/linalg/__init__.py 100.00%
src/probnum/problems/zoo/linalg/_random_linear_system.py 100.00%
src/probnum/problems/zoo/linalg/_random_spd_matrix.py 93.55%
src/probnum/problems/zoo/linalg/_suitesparse_matrix.py 83.95%
src/probnum/quad/__init__.py 100.00%
src/probnum/quad/_bayesquad.py 73.68%
src/probnum/quad/_integration_measures.py 91.55%
src/probnum/quad/bq_methods/__init__.py 100.00%
src/probnum/quad/bq_methods/bayesian_quadrature.py 97.62%
src/probnum/quad/kernel_embeddings/__init__.py 100.00%
src/probnum/quad/kernel_embeddings/_expquad_gauss.py 100.00%
src/probnum/quad/kernel_embeddings/_expquad_lebesgue.py 100.00%
src/probnum/quad/kernel_embeddings/_kernel_embedding.py 91.30%
src/probnum/quad/policies/__init__.py 100.00%
src/probnum/quad/policies/sample_measure.py 100.00%
src/probnum/randprocs/__init__.py 100.00%
src/probnum/randprocs/_gaussian_process.py 100.00%
src/probnum/randprocs/_random_process.py 87.76%
src/probnum/randprocs/markov/__init__.py 100.00%
src/probnum/randprocs/markov/_markov_process.py 83.87%
src/probnum/randprocs/markov/_transition.py 100.00%
src/probnum/randprocs/markov/continuous/__init__.py 100.00%
src/probnum/randprocs/markov/continuous/_diffusions.py 94.94%
src/probnum/randprocs/markov/continuous/_mfd.py 100.00%
src/probnum/randprocs/markov/continuous/_sde.py 92.61%
src/probnum/randprocs/markov/discrete/__init__.py 100.00%
src/probnum/randprocs/markov/discrete/_condition_state.py 100.00%
src/probnum/randprocs/markov/discrete/_discrete_gaussian.py 87.50%
src/probnum/randprocs/markov/integrator/__init__.py 100.00%
src/probnum/randprocs/markov/integrator/_integrator.py 100.00%
src/probnum/randprocs/markov/integrator/_ioup.py 97.33%
src/probnum/randprocs/markov/integrator/_iwp.py 97.59%
src/probnum/randprocs/markov/integrator/_matern.py 97.44%
src/probnum/randprocs/markov/integrator/_preconditioner.py 94.44%
src/probnum/randprocs/markov/integrator/convert/__init__.py 100.00%
src/probnum/randprocs/markov/integrator/convert/_convert.py 100.00%
src/probnum/randprocs/markov/utils/__init__.py 100.00%
src/probnum/randprocs/markov/utils/_generate_measurements.py 100.00%
src/probnum/randvars/__init__.py 100.00%
src/probnum/randvars/_arithmetic.py 80.29%
src/probnum/randvars/_categorical.py 100.00%
src/probnum/randvars/_constant.py 85.71%
src/probnum/randvars/_normal.py 81.70%
src/probnum/randvars/_random_variable.py 61.03%
src/probnum/randvars/_scipy_stats.py 70.93%
src/probnum/randvars/_utils.py 88.24%
src/probnum/typing.py 100.00%
src/probnum/utils/__init__.py 100.00%
src/probnum/utils/argutils.py 100.00%
src/probnum/utils/arrayutils.py 37.50%
src/probnum/utils/linalg/__init__.py 100.00%
src/probnum/utils/linalg/_cholesky_updates.py 100.00%
Project Totals (134 files) 86.87%
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