[setup] cleaning config and entry-points

bob/bio/gmm/config/algorithm/gmm_regular.py

-#!/usr/bin/env python
-
-import bob.bio.gmm
-
-algorithm = bob.bio.gmm.algorithm.GMMRegular(number_of_gaussians=512)

bob/bio/gmm/config/algorithm/isv.py

-import bob.bio.gmm
-
-algorithm = bob.bio.gmm.algorithm.ISV(
-    # ISV parameters
-    subspace_dimension_of_u=160,
-    # GMM parameters
-    number_of_gaussians=512,
-)

bob/bio/gmm/config/algorithm/ivector_cosine.py

-import bob.bio.gmm
-
-algorithm = bob.bio.gmm.algorithm.IVector(
-    # IVector parameters
-    subspace_dimension_of_t=400,
-    update_sigma=True,
-    tv_training_iterations=3,  # Number of EM iterations for the TV training
-    # GMM parameters
-    number_of_gaussians=512,
-)

bob/bio/gmm/config/algorithm/ivector_lda_wccn_plda.py

-import bob.bio.gmm
-
-algorithm = bob.bio.gmm.algorithm.IVector(
-    # IVector parameters
-    subspace_dimension_of_t=100,
-    update_sigma=True,
-    tv_training_iterations=25,  # Number of EM iterations for the TV training
-    # GMM parameters
-    number_of_gaussians=256,
-    use_lda=True,
-    use_wccn=True,
-    use_plda=True,
-    lda_dim=50,
-    plda_dim_F=50,
-    plda_dim_G=50,
-    plda_training_iterations=200,
-)

bob/bio/gmm/config/algorithm/ivector_plda.py

-import bob.bio.gmm
-
-algorithm = bob.bio.gmm.algorithm.IVector(
-    # IVector parameters
-    subspace_dimension_of_t=100,
-    update_sigma=True,
-    tv_training_iterations=25,  # Number of EM iterations for the TV training
-    # GMM parameters
-    number_of_gaussians=256,
-    use_plda=True,
-    plda_dim_F=50,
-    plda_dim_G=50,
-    plda_training_iterations=200,
-)

bob/bio/gmm/config/algorithm/jfa.py

-#!/usr/bin/env python
-
-import bob.bio.gmm
-
-algorithm = bob.bio.gmm.algorithm.JFA(
-    # JFA Training
-    subspace_dimension_of_u=2,  # U subspace dimension
-    subspace_dimension_of_v=2,  # V subspace dimension
-    jfa_training_iterations=10,  # Number of EM iterations for the JFA training
-    # GMM training
-    number_of_gaussians=512,
-)

setup.py

@@ -98,17 +98,9 @@ setup(
         "console_scripts": [],
         "bob.bio.database": [],
         "bob.bio.preprocessor": [],
-        "bob.bio.extractor": [
-            "dummy2d           = bob.bio.gmm.test.dummy.extractor:extractor",  # for test purposes only
-        ],
+        "bob.bio.extractor": [],
         "bob.bio.algorithm": [
             "gmm                            = bob.bio.gmm.config.algorithm.gmm:algorithm",
-            "gmm-regular               = bob.bio.gmm.config.algorithm.gmm_regular:algorithm",
-            "jfa                                = bob.bio.gmm.config.algorithm.jfa:algorithm",
-            "isv                                = bob.bio.gmm.config.algorithm.isv:algorithm",
-            "ivector-cosine             = bob.bio.gmm.config.algorithm.ivector_cosine:algorithm",
-            "ivector-plda                = bob.bio.gmm.config.algorithm.ivector_plda:algorithm",
-            "ivector-lda-wccn-plda = bob.bio.gmm.config.algorithm.ivector_lda_wccn_plda:algorithm",
         ],
     },
     # Classifiers are important if you plan to distribute this package through