| src/bob/learn/em/__init__.py |
__appropriate__ |
2 |
0 |
0 |
100% |
| src/bob/learn/em/__init__.py |
(no function) |
10 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
is_input_dask_nested |
5 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
check_dask_input_samples_per_class |
7 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
reduce_iadd |
6 |
1 |
0 |
83% |
| src/bob/learn/em/factor_analysis.py |
mult_along_axis |
8 |
2 |
0 |
75% |
| src/bob/learn/em/factor_analysis.py |
FactorAnalysisBase.__init__ |
11 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
FactorAnalysisBase.feature_dimension |
1 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
FactorAnalysisBase.supervector_dimension |
1 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
FactorAnalysisBase.mean_supervector |
1 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
FactorAnalysisBase.variance_supervector |
1 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
FactorAnalysisBase.U |
1 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
FactorAnalysisBase.U |
1 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
FactorAnalysisBase.D |
1 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
FactorAnalysisBase.D |
1 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
FactorAnalysisBase.V |
1 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
FactorAnalysisBase.V |
1 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
FactorAnalysisBase.estimate_number_of_classes |
1 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
FactorAnalysisBase.initialize_using_array |
7 |
2 |
0 |
71% |
| src/bob/learn/em/factor_analysis.py |
FactorAnalysisBase.initialize |
11 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
FactorAnalysisBase.create_UVD |
9 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
FactorAnalysisBase._sum_n_statistics |
4 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
FactorAnalysisBase._sum_f_statistics |
4 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
FactorAnalysisBase._get_statistics_by_class_id |
2 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
FactorAnalysisBase._compute_id_plus_u_prod_ih |
3 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
FactorAnalysisBase._compute_fn_x_ih |
10 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
FactorAnalysisBase.compute_latent_x |
8 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
FactorAnalysisBase._compute_latent_x_per_class |
8 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
FactorAnalysisBase.update_U |
4 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
FactorAnalysisBase._compute_uprod |
5 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
FactorAnalysisBase.compute_accumulators_U |
13 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
FactorAnalysisBase.update_z |
10 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
FactorAnalysisBase._compute_id_plus_d_prod_i |
3 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
FactorAnalysisBase._compute_fn_z_i |
13 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
FactorAnalysisBase.compute_accumulators_D |
14 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
FactorAnalysisBase.initialize_XYZ |
8 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
FactorAnalysisBase.update_y |
8 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
FactorAnalysisBase._latent_y_per_class |
4 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
FactorAnalysisBase._compute_id_plus_vprod_i |
2 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
FactorAnalysisBase._compute_vprod |
5 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
FactorAnalysisBase.compute_accumulators_V |
15 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
FactorAnalysisBase._compute_fn_y_i |
11 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
FactorAnalysisBase.estimate_x |
4 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
FactorAnalysisBase.estimate_ux |
2 |
2 |
0 |
0% |
| src/bob/learn/em/factor_analysis.py |
FactorAnalysisBase._compute_id_plus_us_prod_inv |
9 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
FactorAnalysisBase._compute_fn_x |
6 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
FactorAnalysisBase.score_using_array |
1 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
FactorAnalysisBase.fit_using_array |
19 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
FactorAnalysisBase.enroll_using_array |
1 |
1 |
0 |
0% |
| src/bob/learn/em/factor_analysis.py |
FactorAnalysisBase._prepare_dask_input |
18 |
18 |
0 |
0% |
| src/bob/learn/em/factor_analysis.py |
FactorAnalysisBase._prepare_dask_input._len |
1 |
1 |
0 |
0% |
| src/bob/learn/em/factor_analysis.py |
ISVMachine.__init__ |
1 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
ISVMachine.e_step |
7 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
ISVMachine.m_step |
4 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
ISVMachine.fit |
13 |
1 |
0 |
92% |
| src/bob/learn/em/factor_analysis.py |
ISVMachine.transform |
2 |
2 |
0 |
0% |
| src/bob/learn/em/factor_analysis.py |
ISVMachine.enroll |
12 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
ISVMachine.enroll_using_array |
1 |
1 |
0 |
0% |
| src/bob/learn/em/factor_analysis.py |
ISVMachine.score |
13 |
6 |
0 |
54% |
| src/bob/learn/em/factor_analysis.py |
JFAMachine.__init__ |
1 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
JFAMachine.e_step_v |
6 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
JFAMachine.m_step_v |
7 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
JFAMachine.finalize_v |
5 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
JFAMachine.e_step_u |
6 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
JFAMachine.m_step_u |
4 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
JFAMachine.finalize_u |
5 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
JFAMachine.e_step_d |
4 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
JFAMachine.m_step_d |
5 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
JFAMachine.enroll |
13 |
0 |
0 |
100% |
| src/bob/learn/em/factor_analysis.py |
JFAMachine.fit |
31 |
1 |
0 |
97% |
| src/bob/learn/em/factor_analysis.py |
JFAMachine.score |
15 |
6 |
0 |
60% |
| src/bob/learn/em/factor_analysis.py |
(no function) |
95 |
0 |
0 |
100% |
| src/bob/learn/em/gmm.py |
logaddexp_reduce |
1 |
0 |
0 |
100% |
| src/bob/learn/em/gmm.py |
log_weighted_likelihood |
9 |
0 |
0 |
100% |
| src/bob/learn/em/gmm.py |
reduce_loglikelihood |
4 |
0 |
0 |
100% |
| src/bob/learn/em/gmm.py |
log_likelihood |
4 |
0 |
0 |
100% |
| src/bob/learn/em/gmm.py |
e_step |
17 |
0 |
0 |
100% |
| src/bob/learn/em/gmm.py |
m_step |
5 |
0 |
0 |
100% |
| src/bob/learn/em/gmm.py |
GMMStats.__init__ |
9 |
0 |
0 |
100% |
| src/bob/learn/em/gmm.py |
GMMStats.init_fields |
5 |
0 |
0 |
100% |
| src/bob/learn/em/gmm.py |
GMMStats.reset |
1 |
1 |
0 |
0% |
| src/bob/learn/em/gmm.py |
GMMStats.from_hdf5 |
24 |
10 |
0 |
58% |
| src/bob/learn/em/gmm.py |
GMMStats.save |
11 |
1 |
0 |
91% |
| src/bob/learn/em/gmm.py |
GMMStats.load |
5 |
2 |
0 |
60% |
| src/bob/learn/em/gmm.py |
GMMStats.__add__ |
9 |
1 |
0 |
89% |
| src/bob/learn/em/gmm.py |
GMMStats.__iadd__ |
8 |
1 |
0 |
88% |
| src/bob/learn/em/gmm.py |
GMMStats.__eq__ |
1 |
0 |
0 |
100% |
| src/bob/learn/em/gmm.py |
GMMStats.is_similar_to |
1 |
0 |
0 |
100% |
| src/bob/learn/em/gmm.py |
GMMStats.resize |
3 |
0 |
0 |
100% |
| src/bob/learn/em/gmm.py |
GMMStats.shape |
1 |
0 |
0 |
100% |
| src/bob/learn/em/gmm.py |
GMMStats.nbytes |
1 |
1 |
0 |
0% |
| src/bob/learn/em/gmm.py |
GMMMachine.__init__ |
33 |
3 |
0 |
91% |
| src/bob/learn/em/gmm.py |
GMMMachine.weights |
1 |
0 |
0 |
100% |
| src/bob/learn/em/gmm.py |
GMMMachine.weights |
2 |
0 |
0 |
100% |
| src/bob/learn/em/gmm.py |
GMMMachine.means |
3 |
1 |
0 |
67% |
| src/bob/learn/em/gmm.py |
GMMMachine.means |
1 |
0 |
0 |
100% |
| src/bob/learn/em/gmm.py |
GMMMachine.variances |
3 |
1 |
0 |
67% |
| src/bob/learn/em/gmm.py |
GMMMachine.variances |
3 |
0 |
0 |
100% |
| src/bob/learn/em/gmm.py |
GMMMachine.variance_thresholds |
3 |
1 |
0 |
67% |
| src/bob/learn/em/gmm.py |
GMMMachine.variance_thresholds |
3 |
0 |
0 |
100% |
| src/bob/learn/em/gmm.py |
GMMMachine.g_norms |
4 |
2 |
0 |
50% |
| src/bob/learn/em/gmm.py |
GMMMachine.log_weights |
1 |
0 |
0 |
100% |
| src/bob/learn/em/gmm.py |
GMMMachine.shape |
1 |
0 |
0 |
100% |
| src/bob/learn/em/gmm.py |
GMMMachine.from_hdf5 |
33 |
2 |
0 |
94% |
| src/bob/learn/em/gmm.py |
GMMMachine.load |
2 |
0 |
0 |
100% |
| src/bob/learn/em/gmm.py |
GMMMachine.save |
16 |
0 |
0 |
100% |
| src/bob/learn/em/gmm.py |
GMMMachine.__eq__ |
3 |
1 |
0 |
67% |
| src/bob/learn/em/gmm.py |
GMMMachine.is_similar_to |
1 |
0 |
0 |
100% |
| src/bob/learn/em/gmm.py |
GMMMachine.initialize_gaussians |
15 |
1 |
0 |
93% |
| src/bob/learn/em/gmm.py |
GMMMachine.log_weighted_likelihood |
1 |
1 |
0 |
0% |
| src/bob/learn/em/gmm.py |
GMMMachine.log_likelihood |
1 |
0 |
0 |
100% |
| src/bob/learn/em/gmm.py |
GMMMachine.fit |
31 |
2 |
0 |
94% |
| src/bob/learn/em/gmm.py |
GMMMachine.acc_stats |
1 |
0 |
0 |
100% |
| src/bob/learn/em/gmm.py |
GMMMachine.transform |
1 |
0 |
0 |
100% |
| src/bob/learn/em/gmm.py |
GMMMachine.stats_per_sample |
1 |
0 |
0 |
100% |
| src/bob/learn/em/gmm.py |
ml_gmm_m_step |
11 |
0 |
0 |
100% |
| src/bob/learn/em/gmm.py |
map_gmm_m_step |
19 |
1 |
0 |
95% |
| src/bob/learn/em/gmm.py |
(no function) |
76 |
0 |
0 |
100% |
| src/bob/learn/em/ivector.py |
IVectorStats.__init__ |
7 |
0 |
0 |
100% |
| src/bob/learn/em/ivector.py |
IVectorStats.shape |
1 |
0 |
0 |
100% |
| src/bob/learn/em/ivector.py |
IVectorStats.__add__ |
8 |
1 |
0 |
88% |
| src/bob/learn/em/ivector.py |
IVectorStats.__iadd__ |
7 |
7 |
0 |
0% |
| src/bob/learn/em/ivector.py |
compute_tct_sigmac_inv |
2 |
0 |
0 |
100% |
| src/bob/learn/em/ivector.py |
compute_tct_sigmac_inv_tc |
3 |
0 |
0 |
100% |
| src/bob/learn/em/ivector.py |
compute_id_tt_sigma_inv_t |
4 |
0 |
0 |
100% |
| src/bob/learn/em/ivector.py |
compute_tt_sigma_inv_fnorm |
4 |
0 |
0 |
100% |
| src/bob/learn/em/ivector.py |
e_step |
17 |
0 |
0 |
100% |
| src/bob/learn/em/ivector.py |
m_step |
12 |
0 |
0 |
100% |
| src/bob/learn/em/ivector.py |
IVectorMachine.__init__ |
13 |
1 |
0 |
92% |
| src/bob/learn/em/ivector.py |
IVectorMachine.fit |
26 |
0 |
0 |
100% |
| src/bob/learn/em/ivector.py |
IVectorMachine.project |
1 |
0 |
0 |
100% |
| src/bob/learn/em/ivector.py |
IVectorMachine.transform |
1 |
0 |
0 |
100% |
| src/bob/learn/em/ivector.py |
IVectorMachine._more_tags |
1 |
1 |
0 |
0% |
| src/bob/learn/em/ivector.py |
(no function) |
28 |
0 |
0 |
100% |
| src/bob/learn/em/kmeans.py |
get_centroids_distance |
7 |
0 |
0 |
100% |
| src/bob/learn/em/kmeans.py |
get_closest_centroid_index |
1 |
0 |
0 |
100% |
| src/bob/learn/em/kmeans.py |
e_step |
10 |
0 |
0 |
100% |
| src/bob/learn/em/kmeans.py |
m_step |
8 |
0 |
0 |
100% |
| src/bob/learn/em/kmeans.py |
accumulate_indices_means_vars |
10 |
0 |
0 |
100% |
| src/bob/learn/em/kmeans.py |
reduce_indices_means_vars |
12 |
0 |
0 |
100% |
| src/bob/learn/em/kmeans.py |
KMeansMachine.__init__ |
14 |
1 |
0 |
93% |
| src/bob/learn/em/kmeans.py |
KMeansMachine.means |
1 |
0 |
0 |
100% |
| src/bob/learn/em/kmeans.py |
KMeansMachine.means |
1 |
0 |
0 |
100% |
| src/bob/learn/em/kmeans.py |
KMeansMachine.__eq__ |
1 |
0 |
0 |
100% |
| src/bob/learn/em/kmeans.py |
KMeansMachine.is_similar_to |
4 |
0 |
0 |
100% |
| src/bob/learn/em/kmeans.py |
KMeansMachine.get_variances_and_weights_for_each_cluster |
8 |
0 |
0 |
100% |
| src/bob/learn/em/kmeans.py |
KMeansMachine.initialize |
8 |
0 |
0 |
100% |
| src/bob/learn/em/kmeans.py |
KMeansMachine.fit |
29 |
0 |
0 |
100% |
| src/bob/learn/em/kmeans.py |
KMeansMachine.transform |
1 |
0 |
0 |
100% |
| src/bob/learn/em/kmeans.py |
KMeansMachine.predict |
1 |
0 |
0 |
100% |
| src/bob/learn/em/kmeans.py |
(no function) |
30 |
0 |
0 |
100% |
| src/bob/learn/em/linear_scoring.py |
linear_scoring |
22 |
2 |
0 |
91% |
| src/bob/learn/em/linear_scoring.py |
(no function) |
7 |
0 |
0 |
100% |
| src/bob/learn/em/utils.py |
check_and_persist_dask_input |
12 |
0 |
0 |
100% |
| src/bob/learn/em/utils.py |
array_to_delayed_list |
4 |
0 |
0 |
100% |
| src/bob/learn/em/utils.py |
(no function) |
7 |
0 |
0 |
100% |
| src/bob/learn/em/wccn.py |
WCCN.__init__ |
2 |
0 |
0 |
100% |
| src/bob/learn/em/wccn.py |
WCCN.fit |
21 |
0 |
0 |
100% |
| src/bob/learn/em/wccn.py |
WCCN.transform |
1 |
0 |
0 |
100% |
| src/bob/learn/em/wccn.py |
(no function) |
7 |
0 |
0 |
100% |
| src/bob/learn/em/whitening.py |
Whitening.__init__ |
2 |
0 |
0 |
100% |
| src/bob/learn/em/whitening.py |
Whitening.fit |
12 |
0 |
0 |
100% |
| src/bob/learn/em/whitening.py |
Whitening.transform |
1 |
0 |
0 |
100% |
| src/bob/learn/em/whitening.py |
(no function) |
7 |
0 |
0 |
100% |