| /opt/conda/lib/python3.12/site-packages/medil/__init__.py |
(no function) |
1 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/ecc_algorithms.py |
find_clique_min_cover |
21 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/ecc_algorithms.py |
branch |
25 |
1 |
0 |
96% |
| /opt/conda/lib/python3.12/site-packages/medil/ecc_algorithms.py |
max_cliques |
31 |
1 |
0 |
97% |
| /opt/conda/lib/python3.12/site-packages/medil/ecc_algorithms.py |
add_isolated_verts |
7 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/ecc_algorithms.py |
find_heuristic_1pc |
24 |
7 |
0 |
71% |
| /opt/conda/lib/python3.12/site-packages/medil/ecc_algorithms.py |
(no function) |
8 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/evaluate.py |
sfd |
21 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/evaluate.py |
shd |
17 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/evaluate.py |
recover_ug |
3 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/evaluate.py |
(no function) |
5 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/examples.py |
ExampleUDGAndMCM.__init__ |
3 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/examples.py |
ExampleUDGAndMCM.add_udg |
1 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/examples.py |
ExampleUDGAndMCM.add_mcm |
1 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/examples.py |
(no function) |
21 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/graph.py |
UndirectedDependenceGraph.__init__ |
5 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/graph.py |
UndirectedDependenceGraph.add_edges |
5 |
5 |
0 |
0% |
| /opt/conda/lib/python3.12/site-packages/medil/graph.py |
UndirectedDependenceGraph.rm_edges |
5 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/graph.py |
UndirectedDependenceGraph.make_aux |
18 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/graph.py |
UndirectedDependenceGraph.n_choose_2 |
1 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/graph.py |
UndirectedDependenceGraph.reducible_copy |
1 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/graph.py |
UndirectedDependenceGraph.convert_to_nde |
6 |
6 |
0 |
0% |
| /opt/conda/lib/python3.12/site-packages/medil/graph.py |
ReducibleUndDepGraph.__init__ |
16 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/graph.py |
ReducibleUndDepGraph.reset |
1 |
1 |
0 |
0% |
| /opt/conda/lib/python3.12/site-packages/medil/graph.py |
ReducibleUndDepGraph.reduzieren |
13 |
1 |
0 |
92% |
| /opt/conda/lib/python3.12/site-packages/medil/graph.py |
ReducibleUndDepGraph.rule_1 |
14 |
1 |
0 |
93% |
| /opt/conda/lib/python3.12/site-packages/medil/graph.py |
ReducibleUndDepGraph.rule_2 |
11 |
1 |
0 |
91% |
| /opt/conda/lib/python3.12/site-packages/medil/graph.py |
ReducibleUndDepGraph.rule_3 |
22 |
1 |
0 |
95% |
| /opt/conda/lib/python3.12/site-packages/medil/graph.py |
ReducibleUndDepGraph.choose_nbrhood |
11 |
1 |
0 |
91% |
| /opt/conda/lib/python3.12/site-packages/medil/graph.py |
ReducibleUndDepGraph.cover_edges |
17 |
1 |
0 |
94% |
| /opt/conda/lib/python3.12/site-packages/medil/graph.py |
ReducibleUndDepGraph.reconstruct_cover |
9 |
1 |
0 |
89% |
| /opt/conda/lib/python3.12/site-packages/medil/graph.py |
(no function) |
21 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/independence_testing.py |
dcov |
14 |
14 |
0 |
0% |
| /opt/conda/lib/python3.12/site-packages/medil/independence_testing.py |
estimate_UDG |
23 |
23 |
0 |
0% |
| /opt/conda/lib/python3.12/site-packages/medil/independence_testing.py |
xicor_test |
3 |
3 |
0 |
0% |
| /opt/conda/lib/python3.12/site-packages/medil/independence_testing.py |
_xicorr |
8 |
8 |
0 |
0% |
| /opt/conda/lib/python3.12/site-packages/medil/independence_testing.py |
xicorr |
25 |
25 |
0 |
0% |
| /opt/conda/lib/python3.12/site-packages/medil/independence_testing.py |
(no function) |
18 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/interv_vae.py |
VariationalAutoencoder.__init__ |
3 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/interv_vae.py |
VariationalAutoencoder.forward |
4 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/interv_vae.py |
VariationalAutoencoder.latent_sample |
5 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/interv_vae.py |
Encoder.__init__ |
6 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/interv_vae.py |
Encoder.forward |
6 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/interv_vae.py |
Decoder.__init__ |
20 |
2 |
0 |
90% |
| /opt/conda/lib/python3.12/site-packages/medil/interv_vae.py |
Decoder.forward |
21 |
4 |
0 |
81% |
| /opt/conda/lib/python3.12/site-packages/medil/interv_vae.py |
SparseLinear.__init__ |
10 |
1 |
0 |
90% |
| /opt/conda/lib/python3.12/site-packages/medil/interv_vae.py |
SparseLinear.reset_parameters |
5 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/interv_vae.py |
SparseLinear.forward |
3 |
1 |
0 |
67% |
| /opt/conda/lib/python3.12/site-packages/medil/interv_vae.py |
SparseLinear.extra_repr |
1 |
1 |
0 |
0% |
| /opt/conda/lib/python3.12/site-packages/medil/interv_vae.py |
Intervenable.__init__ |
2 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/interv_vae.py |
Intervenable.forward |
12 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/interv_vae.py |
(no function) |
23 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/interv_vae2.py |
VariationalAutoencoder.__init__ |
3 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/interv_vae2.py |
VariationalAutoencoder.forward |
4 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/interv_vae2.py |
VariationalAutoencoder.latent_sample |
5 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/interv_vae2.py |
Encoder.__init__ |
6 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/interv_vae2.py |
Encoder.forward |
6 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/interv_vae2.py |
Decoder.__init__ |
20 |
2 |
0 |
90% |
| /opt/conda/lib/python3.12/site-packages/medil/interv_vae2.py |
Decoder.forward |
24 |
4 |
0 |
83% |
| /opt/conda/lib/python3.12/site-packages/medil/interv_vae2.py |
SparseLinear.__init__ |
10 |
1 |
0 |
90% |
| /opt/conda/lib/python3.12/site-packages/medil/interv_vae2.py |
SparseLinear.reset_parameters |
5 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/interv_vae2.py |
SparseLinear.forward |
3 |
1 |
0 |
67% |
| /opt/conda/lib/python3.12/site-packages/medil/interv_vae2.py |
SparseLinear.extra_repr |
1 |
1 |
0 |
0% |
| /opt/conda/lib/python3.12/site-packages/medil/interv_vae2.py |
Intervenable.__init__ |
2 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/interv_vae2.py |
Intervenable.forward |
11 |
1 |
0 |
91% |
| /opt/conda/lib/python3.12/site-packages/medil/interv_vae2.py |
(no function) |
23 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
MedilCausalModel.__init__ |
4 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
MedilCausalModel.fit |
1 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
MedilCausalModel.sample |
1 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
Parameters.__init__ |
17 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
Parameters.__str__ |
1 |
1 |
0 |
0% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
GaussianMCM.__init__ |
2 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
GaussianMCM.fit |
15 |
1 |
0 |
93% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
GaussianMCM.fit._objective |
5 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
GaussianMCM._compute_biadj |
3 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
GaussianMCM._estimate_udg |
9 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
GaussianMCM.sample |
5 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
NeuroCausalFactorAnalysis.__init__ |
10 |
1 |
0 |
90% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
NeuroCausalFactorAnalysis.log |
8 |
6 |
0 |
25% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
NeuroCausalFactorAnalysis.fit |
18 |
7 |
0 |
61% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
NeuroCausalFactorAnalysis._compute_biadj |
3 |
3 |
0 |
0% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
NeuroCausalFactorAnalysis._estimate_udg |
1 |
1 |
0 |
0% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
NeuroCausalFactorAnalysis._data_loader |
5 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
NeuroCausalFactorAnalysis._train_vae |
47 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
NeuroCausalFactorAnalysis._valid_vae |
16 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
NeuroCausalFactorAnalysis._elbo_gaussian |
18 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
NeuroCausalFactorAnalysis._recon_error |
8 |
1 |
0 |
88% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
NeuroCausalFactorAnalysis._apply_along_axis |
1 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
DevMedil.__init__ |
2 |
2 |
0 |
0% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
DevMedil.fit_penalized_mle |
16 |
16 |
0 |
0% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
DevMedil.fit_penalized_mle.penalized_mle_loss |
10 |
10 |
0 |
0% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
DevMedil.validation_mle |
11 |
11 |
0 |
0% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
DevMedil.fit_penalized_lse |
16 |
16 |
0 |
0% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
DevMedil.fit_penalized_lse.penalized_lse_loss |
6 |
6 |
0 |
0% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
DevMedil.validation_lse |
7 |
7 |
0 |
0% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
DevMedil.compute_sigma |
2 |
2 |
0 |
0% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
DevMedil.rho |
1 |
1 |
0 |
0% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
DevMedil.sigma |
1 |
1 |
0 |
0% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
DevMedil.sample |
13 |
13 |
0 |
0% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
DevMedil.fit |
5 |
5 |
0 |
0% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
DevMedilInterv.__init__ |
3 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
DevMedilInterv._train_vae |
45 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
DevMedilInterv._valid_vae |
18 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
DevMedilInterv._elbo_gaussian |
16 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
DevMedilInterv2.__init__ |
3 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
DevMedilInterv2._data_loader |
5 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
DevMedilInterv2._sampler.__init__ |
5 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
DevMedilInterv2._sampler.__len__ |
1 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
DevMedilInterv2._sampler.__iter__ |
5 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
DevMedilInterv2._train_vae |
53 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
DevMedilInterv2._valid_vae |
18 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
DevMedilInterv2._elbo_gaussian |
16 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
BlockLinear.__init__ |
9 |
1 |
0 |
89% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
BlockLinear.reset_parameters |
5 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
BlockLinear.forward |
1 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
BlockLinear.extra_repr |
1 |
1 |
0 |
0% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
Intervenable.__init__ |
10 |
1 |
0 |
90% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
Intervenable.reset_parameters |
5 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
Intervenable.forward |
9 |
1 |
0 |
89% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
Intervenable.extra_repr |
1 |
1 |
0 |
0% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
VAE.__init__ |
12 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
VAE.encode |
2 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
VAE.reparameterize |
3 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
VAE.decode |
4 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
VAE.forward |
4 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
_numpy_to_pytorch_dataset |
8 |
1 |
0 |
88% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
_sampler.__init__ |
4 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
_sampler.__len__ |
1 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
_sampler.__iter__ |
5 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
IvnFA.__init__ |
4 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
IvnFA.fit |
28 |
4 |
0 |
86% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
IvnFA._loss_function |
6 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
IvnFA._train |
23 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
IvnFA._validate |
16 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/models.py |
(no function) |
103 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/sample.py |
mcm |
18 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/sample.py |
biadj |
32 |
1 |
0 |
97% |
| /opt/conda/lib/python3.12/site-packages/medil/sample.py |
(no function) |
8 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/vae.py |
VariationalAutoencoder.__init__ |
3 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/vae.py |
VariationalAutoencoder.forward |
4 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/vae.py |
VariationalAutoencoder.latent_sample |
5 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/vae.py |
Block.__init__ |
5 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/vae.py |
Encoder.__init__ |
6 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/vae.py |
Encoder.forward |
6 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/vae.py |
Decoder.__init__ |
14 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/vae.py |
Decoder.forward |
14 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/vae.py |
SparseLinear.__init__ |
12 |
1 |
0 |
92% |
| /opt/conda/lib/python3.12/site-packages/medil/vae.py |
SparseLinear.reset_parameters |
5 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/vae.py |
SparseLinear.forward |
1 |
0 |
0 |
100% |
| /opt/conda/lib/python3.12/site-packages/medil/vae.py |
SparseLinear.extra_repr |
1 |
1 |
0 |
0% |
| /opt/conda/lib/python3.12/site-packages/medil/vae.py |
(no function) |
21 |
0 |
0 |
100% |