probabilistic-numerics / probnum

Compare fabb512 ... +1 ... 772ee6b

89.38% ø ø

Overview Diff Coverage Changes Files Commits
Coverage Reach
randprocs/markov/continuous/_linear_sde.py randprocs/markov/continuous/_diffusions.py randprocs/markov/continuous/_lti_sde.py randprocs/markov/continuous/_sde.py randprocs/markov/continuous/__init__.py randprocs/markov/continuous/_mfd.py randprocs/markov/integrator/_iwp.py randprocs/markov/integrator/_matern.py randprocs/markov/integrator/_ioup.py randprocs/markov/integrator/_integrator.py randprocs/markov/integrator/_preconditioner.py randprocs/markov/integrator/__init__.py randprocs/markov/integrator/convert/_convert.py randprocs/markov/integrator/convert/__init__.py randprocs/markov/discrete/_linear_gaussian.py randprocs/markov/discrete/_nonlinear_gaussian.py randprocs/markov/discrete/_lti_gaussian.py randprocs/markov/discrete/_condition_state.py randprocs/markov/discrete/__init__.py randprocs/markov/_transition.py randprocs/markov/_markov_process.py randprocs/markov/utils/_generate_measurements.py randprocs/markov/utils/__init__.py randprocs/markov/__init__.py randprocs/kernels/_kernel.py randprocs/kernels/_matern.py randprocs/kernels/__init__.py randprocs/kernels/_rational_quadratic.py randprocs/kernels/_white_noise.py randprocs/kernels/_exponentiated_quadratic.py randprocs/kernels/_polynomial.py randprocs/kernels/_linear.py randprocs/_random_process.py randprocs/_gaussian_process.py randprocs/__init__.py linops/_linear_operator.py linops/_arithmetic.py linops/_kronecker.py linops/_scaling.py linops/_arithmetic_fallbacks.py linops/__init__.py linops/_utils.py randvars/_random_variable.py randvars/_normal.py randvars/_arithmetic.py randvars/_scipy_stats.py randvars/_randomvariablelist.py randvars/_constant.py randvars/_categorical.py randvars/__init__.py randvars/_utils.py diffeq/odefilter/initialization_routines/_runge_kutta.py diffeq/odefilter/initialization_routines/_taylor_mode.py diffeq/odefilter/initialization_routines/_initialization_routine.py diffeq/odefilter/initialization_routines/__init__.py diffeq/odefilter/information_operators/_ode_residual.py diffeq/odefilter/information_operators/_information_operator.py diffeq/odefilter/information_operators/_approx_information_operator.py diffeq/odefilter/information_operators/__init__.py diffeq/odefilter/_odefilter.py diffeq/odefilter/utils/_problem_utils.py diffeq/odefilter/utils/__init__.py diffeq/odefilter/approx_strategies/_ek.py diffeq/odefilter/approx_strategies/__init__.py diffeq/odefilter/approx_strategies/_approx_strategy.py diffeq/odefilter/_odefilter_solution.py diffeq/odefilter/__init__.py diffeq/perturbed/step/_perturbedstepsolver.py diffeq/perturbed/step/_perturbedstepsolution.py diffeq/perturbed/step/_perturbation_functions.py diffeq/perturbed/step/__init__.py diffeq/perturbed/scipy_wrapper/_wrapped_scipy_solver.py diffeq/perturbed/scipy_wrapper/_wrapped_scipy_odesolution.py diffeq/perturbed/scipy_wrapper/__init__.py diffeq/perturbed/__init__.py diffeq/_odesolver.py diffeq/stepsize/_steprule.py diffeq/stepsize/__init__.py diffeq/stepsize/_propose_firststep.py diffeq/_probsolve_ivp.py diffeq/_perturbsolve_ivp.py diffeq/callbacks/_discrete_callback.py diffeq/callbacks/_callback.py diffeq/callbacks/__init__.py diffeq/_odesolution.py diffeq/_odesolver_state.py diffeq/__init__.py linalg/solvers/matrixbased.py linalg/solvers/belief_updates/matrix_based/_matrix_based_linear_belief_update.py linalg/solvers/belief_updates/matrix_based/_symmetric_matrix_based_linear_belief_update.py linalg/solvers/belief_updates/matrix_based/__init__.py linalg/solvers/belief_updates/solution_based/_solution_based_proj_rhs_belief_update.py linalg/solvers/belief_updates/solution_based/__init__.py linalg/solvers/belief_updates/_linear_solver_belief_update.py linalg/solvers/belief_updates/__init__.py linalg/solvers/beliefs/_linear_system_belief.py linalg/solvers/beliefs/__init__.py linalg/solvers/_state.py linalg/solvers/stopping_criteria/_posterior_contraction.py linalg/solvers/stopping_criteria/_residual_norm.py linalg/solvers/stopping_criteria/_maxiter.py linalg/solvers/stopping_criteria/__init__.py linalg/solvers/stopping_criteria/_linear_solver_stopping_criterion.py linalg/solvers/_probabilistic_linear_solver.py linalg/solvers/policies/_random_unit_vector.py linalg/solvers/policies/_conjugate_gradient.py linalg/solvers/policies/__init__.py linalg/solvers/policies/_linear_solver_policy.py linalg/solvers/information_ops/__init__.py linalg/solvers/information_ops/_linear_solver_information_op.py linalg/solvers/information_ops/_matvec.py linalg/solvers/information_ops/_projected_rhs.py linalg/solvers/__init__.py linalg/_problinsolve.py linalg/__init__.py linalg/_bayescg.py filtsmooth/gaussian/approx/_extendedkalman.py filtsmooth/gaussian/approx/_unscentedkalman.py filtsmooth/gaussian/approx/_unscentedtransform.py filtsmooth/gaussian/approx/__init__.py filtsmooth/gaussian/_kalmanposterior.py filtsmooth/gaussian/_kalman.py filtsmooth/gaussian/__init__.py filtsmooth/particle/_particle_filter.py filtsmooth/particle/_importance_distributions.py filtsmooth/particle/_particle_filter_posterior.py filtsmooth/particle/__init__.py filtsmooth/optim/_iterated_component.py filtsmooth/optim/_stopping_criterion.py filtsmooth/optim/_state_space_optimizer.py filtsmooth/optim/_gauss_newton.py filtsmooth/optim/__init__.py filtsmooth/_timeseriesposterior.py filtsmooth/utils/_merge_regression_problems.py filtsmooth/utils/__init__.py filtsmooth/_kalman_filter_smoother.py filtsmooth/__init__.py filtsmooth/_bayesfiltsmooth.py problems/zoo/diffeq/_ivp_examples.py problems/zoo/diffeq/_ivp_examples_jax.py problems/zoo/diffeq/__init__.py problems/zoo/linalg/_suitesparse_matrix.py problems/zoo/linalg/_random_spd_matrix.py problems/zoo/linalg/_random_linear_system.py problems/zoo/linalg/__init__.py problems/zoo/filtsmooth/_filtsmooth_problems.py problems/zoo/filtsmooth/__init__.py problems/_problems.py problems/__init__.py quad/solvers/bayesian_quadrature.py quad/solvers/stopping_criteria/_rel_mean_change.py quad/solvers/stopping_criteria/__init__.py quad/solvers/stopping_criteria/_max_nevals.py quad/solvers/stopping_criteria/_integral_variance_tol.py quad/solvers/stopping_criteria/_bq_stopping_criterion.py quad/solvers/bq_state.py quad/solvers/belief_updates/_belief_update.py quad/solvers/belief_updates/__init__.py quad/solvers/policies/_policy.py quad/solvers/policies/__init__.py quad/solvers/__init__.py quad/_integration_measures.py quad/kernel_embeddings/_kernel_embedding.py quad/kernel_embeddings/_expquad_gauss.py quad/kernel_embeddings/_expquad_lebesgue.py quad/kernel_embeddings/__init__.py quad/_bayesquad.py quad/__init__.py utils/argutils.py utils/arrayutils.py utils/linalg/_cholesky_updates.py utils/linalg/__init__.py utils/__init__.py _config.py _pnmethod/_stopping_criterion.py _pnmethod/_probabilistic_numerical_method.py _pnmethod/__init__.py typing.py __init__.py conftest.py

No flags found

Use flags to group coverage reports by test type, project and/or folders.
Then setup custom commit statuses and notifications for each flag.

e.g., #unittest #integration

#production #enterprise

#frontend #backend

Learn more about Codecov Flags here.

2 untracked files changed.

No tracked files changed.

Everything is accounted for!

No changes detected that need to be reviewed.
What changes does Codecov check for?
Lines, not adjusted in diff, that have changed coverage data.
Files that introduced coverage data that had none before.
Files that have missing coverage data that once were tracked.

3 Commits

Pietro Monticone
89.38% ø ø
Update uncertainties_odefilters.ipynb
pitmonticone
#584 772ee6b
CI Passed
Pietro Monticone
Contextual
Update adaptive_steps_odefilter.ipynb
pitmonticone
9180ff9
Hiding 1 contexual commits
Jonathan Wenger
89.38% 100.00% +0.15%
[PLS Refactor] Base class `ProbabilisticLinearSolver` (#565)
JonathanWenger
fabb512
CI Passed
Files Coverage
src/probnum/__init__.py 100.00%
src/probnum/_config.py 100.00%
src/probnum/_pnmethod/__init__.py 100.00%
src/probnum/_pnmethod/_probabilistic_numerical_method.py 100.00%
src/probnum/_pnmethod/_stopping_criterion.py 100.00%
src/probnum/conftest.py 100.00%
src/probnum/diffeq/__init__.py 100.00%
src/probnum/diffeq/_odesolution.py 100.00%
src/probnum/diffeq/_odesolver.py 100.00%
src/probnum/diffeq/_odesolver_state.py 100.00%
src/probnum/diffeq/_perturbsolve_ivp.py 100.00%
src/probnum/diffeq/_probsolve_ivp.py 100.00%
src/probnum/diffeq/callbacks/__init__.py 100.00%
src/probnum/diffeq/callbacks/_callback.py 100.00%
src/probnum/diffeq/callbacks/_discrete_callback.py 100.00%
src/probnum/diffeq/odefilter/__init__.py 100.00%
src/probnum/diffeq/odefilter/_odefilter.py 97.65%
src/probnum/diffeq/odefilter/_odefilter_solution.py 90.91%
src/probnum/diffeq/odefilter/approx_strategies/__init__.py 100.00%
src/probnum/diffeq/odefilter/approx_strategies/_approx_strategy.py 100.00%
src/probnum/diffeq/odefilter/approx_strategies/_ek.py 100.00%
src/probnum/diffeq/odefilter/information_operators/__init__.py 100.00%
...bnum/diffeq/odefilter/information_operators/_approx_information_operator.py 91.30%
src/probnum/diffeq/odefilter/information_operators/_information_operator.py 100.00%
src/probnum/diffeq/odefilter/information_operators/_ode_residual.py 100.00%
src/probnum/diffeq/odefilter/initialization_routines/__init__.py 100.00%
...probnum/diffeq/odefilter/initialization_routines/_initialization_routine.py 100.00%
src/probnum/diffeq/odefilter/initialization_routines/_runge_kutta.py 100.00%
src/probnum/diffeq/odefilter/initialization_routines/_taylor_mode.py 95.00%
src/probnum/diffeq/odefilter/utils/__init__.py 100.00%
src/probnum/diffeq/odefilter/utils/_problem_utils.py 100.00%
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 96.23%
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 68.25%
src/probnum/filtsmooth/gaussian/_kalmanposterior.py 84.80%
src/probnum/filtsmooth/gaussian/approx/__init__.py 100.00%
src/probnum/filtsmooth/gaussian/approx/_extendedkalman.py 100.00%
src/probnum/filtsmooth/gaussian/approx/_unscentedkalman.py 91.84%
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 79.31%
src/probnum/filtsmooth/optim/_state_space_optimizer.py 88.24%
src/probnum/filtsmooth/optim/_stopping_criterion.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/linalg/__init__.py 100.00%
src/probnum/linalg/_bayescg.py 100.00%
src/probnum/linalg/_problinsolve.py 52.75%
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/belief_updates/__init__.py 100.00%
src/probnum/linalg/solvers/belief_updates/_linear_solver_belief_update.py 100.00%
src/probnum/linalg/solvers/belief_updates/matrix_based/__init__.py 100.00%
...g/solvers/belief_updates/matrix_based/_matrix_based_linear_belief_update.py 100.00%
...belief_updates/matrix_based/_symmetric_matrix_based_linear_belief_update.py 100.00%
src/probnum/linalg/solvers/belief_updates/solution_based/__init__.py 100.00%
...ers/belief_updates/solution_based/_solution_based_proj_rhs_belief_update.py 100.00%
src/probnum/linalg/solvers/beliefs/__init__.py 100.00%
src/probnum/linalg/solvers/beliefs/_linear_system_belief.py 87.69%
src/probnum/linalg/solvers/information_ops/__init__.py 100.00%
src/probnum/linalg/solvers/information_ops/_linear_solver_information_op.py 100.00%
src/probnum/linalg/solvers/information_ops/_matvec.py 100.00%
src/probnum/linalg/solvers/information_ops/_projected_rhs.py 100.00%
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/linalg/solvers/stopping_criteria/__init__.py 100.00%
...obnum/linalg/solvers/stopping_criteria/_linear_solver_stopping_criterion.py 100.00%
src/probnum/linalg/solvers/stopping_criteria/_maxiter.py 100.00%
src/probnum/linalg/solvers/stopping_criteria/_posterior_contraction.py 100.00%
src/probnum/linalg/solvers/stopping_criteria/_residual_norm.py 100.00%
src/probnum/linops/__init__.py 100.00%
src/probnum/linops/_arithmetic.py 91.43%
src/probnum/linops/_arithmetic_fallbacks.py 92.86%
src/probnum/linops/_kronecker.py 87.62%
src/probnum/linops/_linear_operator.py 85.48%
src/probnum/linops/_scaling.py 81.70%
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 93.28%
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 90.83%
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 93.94%
src/probnum/quad/_integration_measures.py 90.48%
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/solvers/__init__.py 100.00%
src/probnum/quad/solvers/bayesian_quadrature.py 86.59%
src/probnum/quad/solvers/belief_updates/__init__.py 100.00%
src/probnum/quad/solvers/belief_updates/_belief_update.py 96.97%
src/probnum/quad/solvers/bq_state.py 100.00%
src/probnum/quad/solvers/policies/__init__.py 100.00%
src/probnum/quad/solvers/policies/_policy.py 100.00%
src/probnum/quad/solvers/stopping_criteria/__init__.py 100.00%
src/probnum/quad/solvers/stopping_criteria/_bq_stopping_criterion.py 100.00%
src/probnum/quad/solvers/stopping_criteria/_integral_variance_tol.py 100.00%
src/probnum/quad/solvers/stopping_criteria/_max_nevals.py 100.00%
src/probnum/quad/solvers/stopping_criteria/_rel_mean_change.py 70.00%
src/probnum/randprocs/__init__.py 100.00%
src/probnum/randprocs/_gaussian_process.py 92.86%
src/probnum/randprocs/_random_process.py 77.97%
src/probnum/randprocs/kernels/__init__.py 100.00%
src/probnum/randprocs/kernels/_exponentiated_quadratic.py 100.00%
src/probnum/randprocs/kernels/_kernel.py 96.97%
src/probnum/randprocs/kernels/_linear.py 100.00%
src/probnum/randprocs/kernels/_matern.py 93.55%
src/probnum/randprocs/kernels/_polynomial.py 100.00%
src/probnum/randprocs/kernels/_rational_quadratic.py 100.00%
src/probnum/randprocs/kernels/_white_noise.py 100.00%
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/_linear_sde.py 93.66%
src/probnum/randprocs/markov/continuous/_lti_sde.py 88.73%
src/probnum/randprocs/markov/continuous/_mfd.py 100.00%
src/probnum/randprocs/markov/continuous/_sde.py 100.00%
src/probnum/randprocs/markov/discrete/__init__.py 100.00%
src/probnum/randprocs/markov/discrete/_condition_state.py 100.00%
src/probnum/randprocs/markov/discrete/_linear_gaussian.py 100.00%
src/probnum/randprocs/markov/discrete/_lti_gaussian.py 70.00%
src/probnum/randprocs/markov/discrete/_nonlinear_gaussian.py 100.00%
src/probnum/randprocs/markov/integrator/__init__.py 100.00%
src/probnum/randprocs/markov/integrator/_integrator.py 89.19%
src/probnum/randprocs/markov/integrator/_ioup.py 97.18%
src/probnum/randprocs/markov/integrator/_iwp.py 97.59%
src/probnum/randprocs/markov/integrator/_matern.py 97.30%
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 92.52%
src/probnum/randvars/_categorical.py 100.00%
src/probnum/randvars/_constant.py 86.00%
src/probnum/randvars/_normal.py 81.78%
src/probnum/randvars/_random_variable.py 63.10%
src/probnum/randvars/_randomvariablelist.py 84.13%
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 (180 files) 89.38%
Loading