| bmm_multitask_learning/__init__.py |
(no function) |
0 |
0 |
0 |
100% |
| bmm_multitask_learning/coalescent/__init__.py |
(no function) |
0 |
0 |
0 |
100% |
| bmm_multitask_learning/coalescent/coalescent_inference.py |
m_norm |
3 |
3 |
0 |
0% |
| bmm_multitask_learning/coalescent/coalescent_inference.py |
Item.coalesce |
6 |
6 |
0 |
0% |
| bmm_multitask_learning/coalescent/coalescent_inference.py |
Item.optimal_t |
5 |
5 |
0 |
0% |
| bmm_multitask_learning/coalescent/coalescent_inference.py |
CoalescentTree.__init__ |
2 |
2 |
0 |
0% |
| bmm_multitask_learning/coalescent/coalescent_inference.py |
CoalescentTree.iterate_over |
3 |
3 |
0 |
0% |
| bmm_multitask_learning/coalescent/coalescent_inference.py |
CoalescentTree.select_candidates |
10 |
10 |
0 |
0% |
| bmm_multitask_learning/coalescent/coalescent_inference.py |
CoalescentTree._greedy_rate_brownian |
16 |
16 |
0 |
0% |
| bmm_multitask_learning/coalescent/coalescent_inference.py |
(no function) |
21 |
21 |
0 |
0% |
| bmm_multitask_learning/coalescent/coalescent_learner.py |
S_handler.__init__ |
2 |
2 |
0 |
0% |
| bmm_multitask_learning/coalescent/coalescent_learner.py |
S_handler.log_prob_S |
10 |
10 |
0 |
0% |
| bmm_multitask_learning/coalescent/coalescent_learner.py |
S_handler._optimize_s |
13 |
13 |
0 |
0% |
| bmm_multitask_learning/coalescent/coalescent_learner.py |
S_handler._optimize_s.grad_S |
10 |
10 |
0 |
0% |
| bmm_multitask_learning/coalescent/coalescent_learner.py |
S_handler.update_param |
5 |
5 |
0 |
0% |
| bmm_multitask_learning/coalescent/coalescent_learner.py |
MultitaskProblem.__init__ |
16 |
16 |
0 |
0% |
| bmm_multitask_learning/coalescent/coalescent_learner.py |
MultitaskProblem.get_weights |
3 |
3 |
0 |
0% |
| bmm_multitask_learning/coalescent/coalescent_learner.py |
MultitaskProblem.fit |
14 |
14 |
0 |
0% |
| bmm_multitask_learning/coalescent/coalescent_learner.py |
MultitaskProblem._update_weights |
7 |
7 |
0 |
0% |
| bmm_multitask_learning/coalescent/coalescent_learner.py |
(no function) |
16 |
16 |
0 |
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| bmm_multitask_learning/coalescent/inverse_wishart.py |
InverseWishart.__init__ |
7 |
7 |
0 |
0% |
| bmm_multitask_learning/coalescent/inverse_wishart.py |
InverseWishart.cov2corr |
10 |
10 |
0 |
0% |
| bmm_multitask_learning/coalescent/inverse_wishart.py |
InverseWishart.update_posterior |
6 |
6 |
0 |
0% |
| bmm_multitask_learning/coalescent/inverse_wishart.py |
InverseWishart.get_most_prob |
5 |
5 |
0 |
0% |
| bmm_multitask_learning/coalescent/inverse_wishart.py |
(no function) |
7 |
7 |
0 |
0% |
| bmm_multitask_learning/coalescent/parameters_cov.py |
optimal_cov |
20 |
20 |
0 |
0% |
| bmm_multitask_learning/coalescent/parameters_cov.py |
optimal_R |
2 |
2 |
0 |
0% |
| bmm_multitask_learning/coalescent/parameters_cov.py |
(no function) |
4 |
4 |
0 |
0% |
| bmm_multitask_learning/coalescent/plot_coalescent.py |
plot_coalesce |
21 |
21 |
0 |
0% |
| bmm_multitask_learning/coalescent/plot_coalescent.py |
(no function) |
2 |
2 |
0 |
0% |
| bmm_multitask_learning/coalescent/task_classes.py |
TaskData.most_prob_w |
5 |
5 |
0 |
0% |
| bmm_multitask_learning/coalescent/task_classes.py |
(no function) |
7 |
7 |
0 |
0% |
| bmm_multitask_learning/coalescent/utils.py |
grad_optimizer.__init__ |
3 |
3 |
0 |
0% |
| bmm_multitask_learning/coalescent/utils.py |
grad_optimizer.run |
9 |
9 |
0 |
0% |
| bmm_multitask_learning/coalescent/utils.py |
MyModel.__init__ |
1 |
1 |
0 |
0% |
| bmm_multitask_learning/coalescent/utils.py |
MyModel.predict |
1 |
1 |
0 |
0% |
| bmm_multitask_learning/coalescent/utils.py |
(no function) |
8 |
8 |
0 |
0% |
| bmm_multitask_learning/sbmtl/__init__.py |
(no function) |
0 |
0 |
0 |
100% |
| bmm_multitask_learning/sbmtl/sparse_bayesian_regression.py |
SparseBayesianRegression.__init__ |
5 |
0 |
0 |
100% |
| bmm_multitask_learning/sbmtl/sparse_bayesian_regression.py |
SparseBayesianRegression._init_hyperparams |
25 |
0 |
0 |
100% |
| bmm_multitask_learning/sbmtl/sparse_bayesian_regression.py |
SparseBayesianRegression._get_flat_params |
1 |
1 |
0 |
0% |
| bmm_multitask_learning/sbmtl/sparse_bayesian_regression.py |
SparseBayesianRegression._set_flat_params |
5 |
0 |
0 |
100% |
| bmm_multitask_learning/sbmtl/sparse_bayesian_regression.py |
SparseBayesianRegression.mean_gig |
5 |
0 |
0 |
100% |
| bmm_multitask_learning/sbmtl/sparse_bayesian_regression.py |
SparseBayesianRegression.mean_inv_gig |
5 |
0 |
0 |
100% |
| bmm_multitask_learning/sbmtl/sparse_bayesian_regression.py |
SparseBayesianRegression.mean_log_gig |
2 |
0 |
0 |
100% |
| bmm_multitask_learning/sbmtl/sparse_bayesian_regression.py |
SparseBayesianRegression.d_log_bessel_k |
2 |
0 |
0 |
100% |
| bmm_multitask_learning/sbmtl/sparse_bayesian_regression.py |
SparseBayesianRegression.update_gig_hyperparams |
10 |
10 |
0 |
0% |
| bmm_multitask_learning/sbmtl/sparse_bayesian_regression.py |
SparseBayesianRegression.update_gig_hyperparams.equations |
9 |
9 |
0 |
0% |
| bmm_multitask_learning/sbmtl/sparse_bayesian_regression.py |
SparseBayesianRegression.update_gig_prior |
13 |
0 |
0 |
100% |
| bmm_multitask_learning/sbmtl/sparse_bayesian_regression.py |
SparseBayesianRegression.update_gig_prior.equations |
9 |
0 |
0 |
100% |
| bmm_multitask_learning/sbmtl/sparse_bayesian_regression.py |
SparseBayesianRegression.compute_moments_W |
1 |
1 |
0 |
0% |
| bmm_multitask_learning/sbmtl/sparse_bayesian_regression.py |
SparseBayesianRegression.compute_moments_Z |
1 |
1 |
0 |
0% |
| bmm_multitask_learning/sbmtl/sparse_bayesian_regression.py |
SparseBayesianRegression.compute_moments_VVT |
1 |
1 |
0 |
0% |
| bmm_multitask_learning/sbmtl/sparse_bayesian_regression.py |
SparseBayesianRegression.compute_moments_VTV |
1 |
0 |
0 |
100% |
| bmm_multitask_learning/sbmtl/sparse_bayesian_regression.py |
SparseBayesianRegression.e_step |
5 |
0 |
0 |
100% |
| bmm_multitask_learning/sbmtl/sparse_bayesian_regression.py |
SparseBayesianRegression._compute_group_moments |
18 |
0 |
0 |
100% |
| bmm_multitask_learning/sbmtl/sparse_bayesian_regression.py |
SparseBayesianRegression._update_posterior_matrices |
31 |
0 |
0 |
100% |
| bmm_multitask_learning/sbmtl/sparse_bayesian_regression.py |
SparseBayesianRegression._update_posterior_wishart |
17 |
0 |
0 |
100% |
| bmm_multitask_learning/sbmtl/sparse_bayesian_regression.py |
SparseBayesianRegression._update_posterior_gig |
18 |
0 |
0 |
100% |
| bmm_multitask_learning/sbmtl/sparse_bayesian_regression.py |
SparseBayesianRegression.m_step |
1 |
0 |
0 |
100% |
| bmm_multitask_learning/sbmtl/sparse_bayesian_regression.py |
SparseBayesianRegression.fit |
5 |
0 |
0 |
100% |
| bmm_multitask_learning/sbmtl/sparse_bayesian_regression.py |
SparseBayesianRegression.predict |
3 |
0 |
0 |
100% |
| bmm_multitask_learning/sbmtl/sparse_bayesian_regression.py |
(no function) |
35 |
0 |
0 |
100% |
| bmm_multitask_learning/task_clustering/MultiTask_Algo.py |
MultiTaskNN.__init__ |
4 |
4 |
0 |
0% |
| bmm_multitask_learning/task_clustering/MultiTask_Algo.py |
MultiTaskNN.log_likelihood |
49 |
49 |
0 |
0% |
| bmm_multitask_learning/task_clustering/MultiTask_Algo.py |
MultiTaskNN.fit |
25 |
25 |
0 |
0% |
| bmm_multitask_learning/task_clustering/MultiTask_Algo.py |
MultiTaskNN._unpack_parameters |
13 |
13 |
0 |
0% |
| bmm_multitask_learning/task_clustering/MultiTask_Algo.py |
MultiTaskNNDependentMean.__init__ |
5 |
5 |
0 |
0% |
| bmm_multitask_learning/task_clustering/MultiTask_Algo.py |
MultiTaskNNDependentMean.log_likelihood |
42 |
42 |
0 |
0% |
| bmm_multitask_learning/task_clustering/MultiTask_Algo.py |
MultiTaskNNDependentMean.fit |
22 |
22 |
0 |
0% |
| bmm_multitask_learning/task_clustering/MultiTask_Algo.py |
MultiTaskNNDependentMean._unpack_parameters |
13 |
13 |
0 |
0% |
| bmm_multitask_learning/task_clustering/MultiTask_Algo.py |
MultiTaskNNClustering.__init__ |
7 |
7 |
0 |
0% |
| bmm_multitask_learning/task_clustering/MultiTask_Algo.py |
MultiTaskNNClustering._compute_task_log_likelihood |
19 |
19 |
0 |
0% |
| bmm_multitask_learning/task_clustering/MultiTask_Algo.py |
MultiTaskNNClustering.e_step |
7 |
7 |
0 |
0% |
| bmm_multitask_learning/task_clustering/MultiTask_Algo.py |
MultiTaskNNClustering.m_step |
35 |
35 |
0 |
0% |
| bmm_multitask_learning/task_clustering/MultiTask_Algo.py |
MultiTaskNNClustering.m_step.objective |
11 |
11 |
0 |
0% |
| bmm_multitask_learning/task_clustering/MultiTask_Algo.py |
MultiTaskNNClustering._compute_map_estimate |
8 |
8 |
0 |
0% |
| bmm_multitask_learning/task_clustering/MultiTask_Algo.py |
MultiTaskNNClustering.fit |
22 |
22 |
0 |
0% |
| bmm_multitask_learning/task_clustering/MultiTask_Algo.py |
MultiTaskNNClustering.fit._compute_final_weights |
3 |
3 |
0 |
0% |
| bmm_multitask_learning/task_clustering/MultiTask_Algo.py |
MultiTaskNNClustering.fit.get_cluster_assignments |
1 |
1 |
0 |
0% |
| bmm_multitask_learning/task_clustering/MultiTask_Algo.py |
MultiTaskNNClustering.fit.get_task_similarity |
2 |
2 |
0 |
0% |
| bmm_multitask_learning/task_clustering/MultiTask_Algo.py |
MultiTaskNNClustering._compute_final_weights |
3 |
3 |
0 |
0% |
| bmm_multitask_learning/task_clustering/MultiTask_Algo.py |
MultiTaskNNClustering.get_cluster_assignments |
1 |
1 |
0 |
0% |
| bmm_multitask_learning/task_clustering/MultiTask_Algo.py |
MultiTaskNNClustering.get_task_similarity |
2 |
2 |
0 |
0% |
| bmm_multitask_learning/task_clustering/MultiTask_Algo.py |
MultiTaskNNGating.__init__ |
8 |
8 |
0 |
0% |
| bmm_multitask_learning/task_clustering/MultiTask_Algo.py |
MultiTaskNNGating.compute_gating_probabilities |
5 |
5 |
0 |
0% |
| bmm_multitask_learning/task_clustering/MultiTask_Algo.py |
MultiTaskNNGating._compute_task_log_likelihood |
19 |
19 |
0 |
0% |
| bmm_multitask_learning/task_clustering/MultiTask_Algo.py |
MultiTaskNNGating.e_step |
11 |
11 |
0 |
0% |
| bmm_multitask_learning/task_clustering/MultiTask_Algo.py |
MultiTaskNNGating.m_step |
44 |
44 |
0 |
0% |
| bmm_multitask_learning/task_clustering/MultiTask_Algo.py |
MultiTaskNNGating.m_step.objective |
11 |
11 |
0 |
0% |
| bmm_multitask_learning/task_clustering/MultiTask_Algo.py |
MultiTaskNNGating._compute_map_estimate |
8 |
8 |
0 |
0% |
| bmm_multitask_learning/task_clustering/MultiTask_Algo.py |
MultiTaskNNGating.fit |
32 |
32 |
0 |
0% |
| bmm_multitask_learning/task_clustering/MultiTask_Algo.py |
MultiTaskNNGating._compute_final_weights |
3 |
3 |
0 |
0% |
| bmm_multitask_learning/task_clustering/MultiTask_Algo.py |
MultiTaskNNGating.get_cluster_assignments |
1 |
1 |
0 |
0% |
| bmm_multitask_learning/task_clustering/MultiTask_Algo.py |
MultiTaskNNGating.get_task_similarity |
2 |
2 |
0 |
0% |
| bmm_multitask_learning/task_clustering/MultiTask_Algo.py |
(no function) |
41 |
41 |
0 |
0% |
| bmm_multitask_learning/task_clustering/MultiTask_Base_Class.py |
MultiTaskNNBase.__init__ |
5 |
5 |
0 |
0% |
| bmm_multitask_learning/task_clustering/MultiTask_Base_Class.py |
MultiTaskNNBase._initialize_weights |
2 |
2 |
0 |
0% |
| bmm_multitask_learning/task_clustering/MultiTask_Base_Class.py |
MultiTaskNNBase._activate |
5 |
5 |
0 |
0% |
| bmm_multitask_learning/task_clustering/MultiTask_Base_Class.py |
MultiTaskNNBase.compute_hidden_activations |
3 |
3 |
0 |
0% |
| bmm_multitask_learning/task_clustering/MultiTask_Base_Class.py |
MultiTaskNNBase.predict |
2 |
2 |
0 |
0% |
| bmm_multitask_learning/task_clustering/MultiTask_Base_Class.py |
MultiTaskNNBase.compute_sufficient_statistics |
2 |
2 |
0 |
0% |
| bmm_multitask_learning/task_clustering/MultiTask_Base_Class.py |
MultiTaskNNBase._normalize_data |
3 |
3 |
0 |
0% |
| bmm_multitask_learning/task_clustering/MultiTask_Base_Class.py |
(no function) |
9 |
9 |
0 |
0% |
| bmm_multitask_learning/task_clustering/__init__.py |
(no function) |
0 |
0 |
0 |
100% |
| bmm_multitask_learning/variational/__init__.py |
(no function) |
0 |
0 |
0 |
100% |
| bmm_multitask_learning/variational/distr.py |
kl_sample_estimation |
4 |
0 |
0 |
100% |
| bmm_multitask_learning/variational/distr.py |
build_predictive |
5 |
0 |
0 |
100% |
| bmm_multitask_learning/variational/distr.py |
(no function) |
8 |
0 |
0 |
100% |
| bmm_multitask_learning/variational/elbo.py |
MultiTaskElbo.__init__ |
13 |
1 |
0 |
92% |
| bmm_multitask_learning/variational/elbo.py |
MultiTaskElbo.forward |
27 |
0 |
0 |
100% |
| bmm_multitask_learning/variational/elbo.py |
MultiTaskElbo._compute_lh_per_task |
4 |
0 |
0 |
100% |
| bmm_multitask_learning/variational/elbo.py |
MultiTaskElbo._compute_latent_kl_per_task |
3 |
0 |
0 |
100% |
| bmm_multitask_learning/variational/elbo.py |
MultiTaskElbo._compute_cls_kl_per_task |
2 |
0 |
0 |
100% |
| bmm_multitask_learning/variational/elbo.py |
MultiTaskElbo._compute_kl |
6 |
2 |
0 |
67% |
| bmm_multitask_learning/variational/elbo.py |
MultiTaskElbo._get_gumbelsm_mixing |
7 |
0 |
0 |
100% |
| bmm_multitask_learning/variational/elbo.py |
MultiTaskElbo.classifier_mixings_params |
1 |
1 |
0 |
0% |
| bmm_multitask_learning/variational/elbo.py |
MultiTaskElbo.latent_mixings_params |
1 |
1 |
0 |
0% |
| bmm_multitask_learning/variational/elbo.py |
(no function) |
20 |
0 |
0 |
100% |