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There are a milion warnings in the build process

    • Closed Issue created by Amir MOHAMMADI @amohammadi

    Here is a filtered list of it:

    
WARNING: doc/bob.bio.video/README.rst:18: (WARNING/2) Title overline too short.

=========
 Run video face recognition algorithms
=========
doc/bob.db.biosecure/README.rst:24: WARNING: Unknown target name: "biosecure".
doc/bob.db.biosecure/README.rst:24: WARNING: Unknown target name: "biosecure".
doc/bob.db.biosecure/README.rst:24: WARNING: Unknown target name: "biosecure".
WARNING: doc/bob.db.nist_sre12/doc/py_api.rst:9: (WARNING/2) autodoc: failed to import module u'bob.db.nist_sre12'; the following exception was raised:
Traceback (most recent call last):
  File "sphinx/ext/autodoc.py", line 657, in import_object
    __import__(self.modname)
ImportError: No module named nist_sre12
WARNING: doc/bob.db.voxforge/doc/py_api.rst:9: (WARNING/2) autodoc: failed to import module u'bob.db.voxforge'; the following exception was raised:
Traceback (most recent call last):
  File "sphinx/ext/autodoc.py", line 657, in import_object
    __import__(self.modname)
ImportError: No module named voxforge
WARNING: doc/bob.extension/bob/extension/examples/bob.example.extension/doc/index.rst:15: (WARNING/2) autodoc: failed to import module u'bob.example.extension'; the following exception was raised:
Traceback (most recent call last):
  File "sphinx/ext/autodoc.py", line 657, in import_object
    __import__(self.modname)
ImportError: No module named example.extension
WARNING: doc/bob.extension/bob/extension/examples/bob.example.library/doc/index.rst:15: (WARNING/2) autodoc: failed to import module u'bob.example.library'; the following exception was raised:
Traceback (most recent call last):
  File "sphinx/ext/autodoc.py", line 657, in import_object
    __import__(self.modname)
ImportError: No module named example.library
WARNING: doc/bob.extension/bob/extension/examples/bob.example.project/doc/index.rst:15: (WARNING/2) autodoc: failed to import module u'bob.example.project'; the following exception was raised:
Traceback (most recent call last):
  File "sphinx/ext/autodoc.py", line 657, in import_object
    __import__(self.modname)
ImportError: No module named example.project
doc/bob.ip.optflow.hornschunck/README.rst:22: WARNING: Unknown target name: "horn & schunck".
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.Algorithm:0: WARNING: duplicate object description of bob.pad.base.algorithm.Algorithm, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.Algorithm.load_projector:0: WARNING: duplicate object description of bob.pad.base.algorithm.Algorithm.load_projector, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.Algorithm.project:0: WARNING: duplicate object description of bob.pad.base.algorithm.Algorithm.project, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.Algorithm.read_feature:0: WARNING: duplicate object description of bob.pad.base.algorithm.Algorithm.read_feature, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.Algorithm.read_toscore_object:0: WARNING: duplicate object description of bob.pad.base.algorithm.Algorithm.read_toscore_object, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.Algorithm.score:0: WARNING: duplicate object description of bob.pad.base.algorithm.Algorithm.score, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.Algorithm.score_for_multiple_projections:0: WARNING: duplicate object description of bob.pad.base.algorithm.Algorithm.score_for_multiple_projections, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.Algorithm.train_projector:0: WARNING: duplicate object description of bob.pad.base.algorithm.Algorithm.train_projector, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.Algorithm.write_feature:0: WARNING: duplicate object description of bob.pad.base.algorithm.Algorithm.write_feature, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.LogRegr:0: WARNING: duplicate object description of bob.pad.base.algorithm.LogRegr, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.LogRegr.load_lr_machine_and_mean_std:0: WARNING: duplicate object description of bob.pad.base.algorithm.LogRegr.load_lr_machine_and_mean_std, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.LogRegr.load_projector:0: WARNING: duplicate object description of bob.pad.base.algorithm.LogRegr.load_projector, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.LogRegr.project:0: WARNING: duplicate object description of bob.pad.base.algorithm.LogRegr.project, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.LogRegr.save_lr_machine_and_mean_std:0: WARNING: duplicate object description of bob.pad.base.algorithm.LogRegr.save_lr_machine_and_mean_std, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.LogRegr.score:0: WARNING: duplicate object description of bob.pad.base.algorithm.LogRegr.score, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.LogRegr.subsample_train_videos:0: WARNING: duplicate object description of bob.pad.base.algorithm.LogRegr.subsample_train_videos, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.LogRegr.train_lr:0: WARNING: duplicate object description of bob.pad.base.algorithm.LogRegr.train_lr, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.LogRegr.train_projector:0: WARNING: duplicate object description of bob.pad.base.algorithm.LogRegr.train_projector, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.OneClassGMM:0: WARNING: duplicate object description of bob.pad.base.algorithm.OneClassGMM, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.OneClassGMM.load_gmm_machine_and_mean_std:0: WARNING: duplicate object description of bob.pad.base.algorithm.OneClassGMM.load_gmm_machine_and_mean_std, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.OneClassGMM.load_projector:0: WARNING: duplicate object description of bob.pad.base.algorithm.OneClassGMM.load_projector, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.OneClassGMM.project:0: WARNING: duplicate object description of bob.pad.base.algorithm.OneClassGMM.project, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.OneClassGMM.save_gmm_machine_and_mean_std:0: WARNING: duplicate object description of bob.pad.base.algorithm.OneClassGMM.save_gmm_machine_and_mean_std, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.OneClassGMM.score:0: WARNING: duplicate object description of bob.pad.base.algorithm.OneClassGMM.score, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.OneClassGMM.train_gmm:0: WARNING: duplicate object description of bob.pad.base.algorithm.OneClassGMM.train_gmm, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.OneClassGMM.train_projector:0: WARNING: duplicate object description of bob.pad.base.algorithm.OneClassGMM.train_projector, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.Predictions:0: WARNING: duplicate object description of bob.pad.base.algorithm.Predictions, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.Predictions.score:0: WARNING: duplicate object description of bob.pad.base.algorithm.Predictions.score, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVM:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVM, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVM.comp_prediction_precision:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVM.comp_prediction_precision, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVM.load_projector:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVM.load_projector, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVM.p:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVM.p, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVM.project:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVM.project, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVM.score:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVM.score, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVM.score_for_multiple_projections:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVM.score_for_multiple_projections, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVM.train_projector:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVM.train_projector, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVM.train_svm:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVM.train_svm, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVMCascadePCA:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVMCascadePCA, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVMCascadePCA.combine_scores_of_svm_cascade:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVMCascadePCA.combine_scores_of_svm_cascade, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVMCascadePCA.comp_prediction_precision:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVMCascadePCA.comp_prediction_precision, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVMCascadePCA.get_cascade_file_names:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVMCascadePCA.get_cascade_file_names, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVMCascadePCA.get_data_start_end_idx:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVMCascadePCA.get_data_start_end_idx, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVMCascadePCA.load_cascade_of_machines:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVMCascadePCA.load_cascade_of_machines, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVMCascadePCA.load_machine:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVMCascadePCA.load_machine, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVMCascadePCA.load_projector:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVMCascadePCA.load_projector, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVMCascadePCA.project:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVMCascadePCA.project, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVMCascadePCA.save_cascade_of_machines:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVMCascadePCA.save_cascade_of_machines, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVMCascadePCA.save_machine:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVMCascadePCA.save_machine, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVMCascadePCA.score:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVMCascadePCA.score, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVMCascadePCA.train_pca:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVMCascadePCA.train_pca, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVMCascadePCA.train_pca_svm_cascade:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVMCascadePCA.train_pca_svm_cascade, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVMCascadePCA.train_projector:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVMCascadePCA.train_projector, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVMCascadePCA.train_svm:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVMCascadePCA.train_svm, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVMCascadePCA.train_svm_cascade:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVMCascadePCA.train_svm_cascade, other instance in doc/bob.pad.face/doc/api.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.Algorithm:0: WARNING: duplicate object description of bob.pad.base.algorithm.Algorithm, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.Algorithm.load_projector:0: WARNING: duplicate object description of bob.pad.base.algorithm.Algorithm.load_projector, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.Algorithm.project:0: WARNING: duplicate object description of bob.pad.base.algorithm.Algorithm.project, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.Algorithm.read_feature:0: WARNING: duplicate object description of bob.pad.base.algorithm.Algorithm.read_feature, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.Algorithm.read_toscore_object:0: WARNING: duplicate object description of bob.pad.base.algorithm.Algorithm.read_toscore_object, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.Algorithm.score:0: WARNING: duplicate object description of bob.pad.base.algorithm.Algorithm.score, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.Algorithm.score_for_multiple_projections:0: WARNING: duplicate object description of bob.pad.base.algorithm.Algorithm.score_for_multiple_projections, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.Algorithm.train_projector:0: WARNING: duplicate object description of bob.pad.base.algorithm.Algorithm.train_projector, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.Algorithm.write_feature:0: WARNING: duplicate object description of bob.pad.base.algorithm.Algorithm.write_feature, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.LogRegr:0: WARNING: duplicate object description of bob.pad.base.algorithm.LogRegr, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.LogRegr.load_lr_machine_and_mean_std:0: WARNING: duplicate object description of bob.pad.base.algorithm.LogRegr.load_lr_machine_and_mean_std, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.LogRegr.load_projector:0: WARNING: duplicate object description of bob.pad.base.algorithm.LogRegr.load_projector, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.LogRegr.project:0: WARNING: duplicate object description of bob.pad.base.algorithm.LogRegr.project, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.LogRegr.save_lr_machine_and_mean_std:0: WARNING: duplicate object description of bob.pad.base.algorithm.LogRegr.save_lr_machine_and_mean_std, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.LogRegr.score:0: WARNING: duplicate object description of bob.pad.base.algorithm.LogRegr.score, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.LogRegr.subsample_train_videos:0: WARNING: duplicate object description of bob.pad.base.algorithm.LogRegr.subsample_train_videos, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.LogRegr.train_lr:0: WARNING: duplicate object description of bob.pad.base.algorithm.LogRegr.train_lr, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.LogRegr.train_projector:0: WARNING: duplicate object description of bob.pad.base.algorithm.LogRegr.train_projector, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.OneClassGMM:0: WARNING: duplicate object description of bob.pad.base.algorithm.OneClassGMM, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.OneClassGMM.load_gmm_machine_and_mean_std:0: WARNING: duplicate object description of bob.pad.base.algorithm.OneClassGMM.load_gmm_machine_and_mean_std, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.OneClassGMM.load_projector:0: WARNING: duplicate object description of bob.pad.base.algorithm.OneClassGMM.load_projector, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.OneClassGMM.project:0: WARNING: duplicate object description of bob.pad.base.algorithm.OneClassGMM.project, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.OneClassGMM.save_gmm_machine_and_mean_std:0: WARNING: duplicate object description of bob.pad.base.algorithm.OneClassGMM.save_gmm_machine_and_mean_std, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.OneClassGMM.score:0: WARNING: duplicate object description of bob.pad.base.algorithm.OneClassGMM.score, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.OneClassGMM.train_gmm:0: WARNING: duplicate object description of bob.pad.base.algorithm.OneClassGMM.train_gmm, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.OneClassGMM.train_projector:0: WARNING: duplicate object description of bob.pad.base.algorithm.OneClassGMM.train_projector, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.Predictions:0: WARNING: duplicate object description of bob.pad.base.algorithm.Predictions, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.Predictions.score:0: WARNING: duplicate object description of bob.pad.base.algorithm.Predictions.score, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVM:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVM, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVM.comp_prediction_precision:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVM.comp_prediction_precision, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVM.load_projector:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVM.load_projector, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVM.p:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVM.p, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVM.project:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVM.project, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVM.score:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVM.score, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVM.score_for_multiple_projections:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVM.score_for_multiple_projections, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVM.train_projector:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVM.train_projector, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVM.train_svm:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVM.train_svm, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVMCascadePCA:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVMCascadePCA, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVMCascadePCA.combine_scores_of_svm_cascade:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVMCascadePCA.combine_scores_of_svm_cascade, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVMCascadePCA.comp_prediction_precision:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVMCascadePCA.comp_prediction_precision, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVMCascadePCA.get_cascade_file_names:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVMCascadePCA.get_cascade_file_names, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVMCascadePCA.get_data_start_end_idx:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVMCascadePCA.get_data_start_end_idx, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVMCascadePCA.load_cascade_of_machines:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVMCascadePCA.load_cascade_of_machines, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVMCascadePCA.load_machine:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVMCascadePCA.load_machine, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVMCascadePCA.load_projector:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVMCascadePCA.load_projector, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVMCascadePCA.project:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVMCascadePCA.project, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVMCascadePCA.save_cascade_of_machines:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVMCascadePCA.save_cascade_of_machines, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVMCascadePCA.save_machine:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVMCascadePCA.save_machine, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVMCascadePCA.score:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVMCascadePCA.score, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVMCascadePCA.train_pca:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVMCascadePCA.train_pca, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVMCascadePCA.train_pca_svm_cascade:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVMCascadePCA.train_pca_svm_cascade, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVMCascadePCA.train_projector:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVMCascadePCA.train_projector, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVMCascadePCA.train_svm:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVMCascadePCA.train_svm, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVMCascadePCA.train_svm_cascade:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVMCascadePCA.train_svm_cascade, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
WARNING: doc/bob.pad.voice/doc/index.rst:19: (WARNING/2) autodoc: failed to import module u'bob.pad.voice.extractor'; the following exception was raised:
Traceback (most recent call last):
  File "sphinx/ext/autodoc.py", line 657, in import_object
    __import__(self.modname)
ImportError: No module named voice.extractor
WARNING: doc/bob.pad.voice/doc/index.rst:24: (WARNING/2) autodoc: failed to import module u'bob.pad.voice.algorithm'; the following exception was raised:
Traceback (most recent call last):
  File "sphinx/ext/autodoc.py", line 657, in import_object
    __import__(self.modname)
ImportError: No module named voice.algorithm
WARNING: doc/bob.pad.voice/doc/index.rst:29: (WARNING/2) autodoc: failed to import module u'bob.pad.voice.database'; the following exception was raised:
Traceback (most recent call last):
  File "sphinx/ext/autodoc.py", line 657, in import_object
    __import__(self.modname)
ImportError: No module named voice.database

doc/bob.db.iris/doc/links.rst: WARNING: document isn't included in any toctree
doc/bob.db.nist_sre12/README.rst: WARNING: document isn't included in any toctree
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bob/bio/base/preprocessor/__init__.py:docstring of bob.bio.base.preprocessor.ParallelPreprocessor:25: WARNING: more than one target found for 'any' cross-reference u'SequentialProcessor': could be :py:class: or :py:class:
bob/bio/base/extractor/__init__.py:docstring of bob.bio.base.extractor.ParallelExtractor:25: WARNING: more than one target found for 'any' cross-reference u'SequentialProcessor': could be :py:class: or :py:class:
doc/bob.bio.face/doc/baselines.rst:129: WARNING: undefined label: bob.bio.csu (if the link has no caption the label must precede a section header)
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doc/bob.bio.face/doc/index.rst:24: WARNING: undefined label: bob.bio.csu (if the link has no caption the label must precede a section header)
doc/bob.bio.vein/doc/api.rst:26: WARNING: py:exc reference target not found: AssertionError
bob/bio/vein/preprocessor/utils.py:docstring of bob.bio.vein.preprocessor.utils.show_image:1: WARNING: py:meth reference target not found: PIL.Image.Image.show
bob/bio/vein/preprocessor/utils.py:docstring of bob.bio.vein.preprocessor.utils.draw_mask_over_image:: WARNING: py:obj reference target not found: PIL.Image
bob/bio/vein/preprocessor/utils.py:docstring of bob.bio.vein.preprocessor.utils.show_mask_over_image:1: WARNING: py:meth reference target not found: PIL.Image.Image.show
bob/core/random/__init__.py:docstring of bob.core.random.binomial.draw:4: WARNING: py:meth reference target not found: __call__
bob/core/random/__init__.py:docstring of bob.core.random.discrete.draw:4: WARNING: py:meth reference target not found: __call__
bob/core/random/__init__.py:docstring of bob.core.random.gamma.draw:4: WARNING: py:meth reference target not found: __call__
bob/core/random/__init__.py:docstring of bob.core.random.lognormal.draw:4: WARNING: py:meth reference target not found: __call__
bob/core/random/__init__.py:docstring of bob.core.random.normal.draw:4: WARNING: py:meth reference target not found: __call__
bob/core/random/__init__.py:docstring of bob.core.random.uniform.draw:4: WARNING: py:meth reference target not found: __call__
doc/bob.db.nist_sre12/doc/guide.rst:42: WARNING: py:class reference target not found: bob.db.nist_sre12.Database
bob/db/voicepa/__init__.py:docstring of bob.db.voicepa.query.Database.objects:1: WARNING: py:class reference target not found: File
bob/db/voicepa/__init__.py:docstring of bob.db.voicepa.query.Database.objects:: WARNING: py:class reference target not found: File
doc/bob.db.voxforge/doc/guide.rst:15: WARNING: py:class reference target not found: bob.db.voxforge.Database
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bob/learn/activation/__init__.py:docstring of bob.learn.activation.Activation:10: WARNING: cpp:type reference target not found: bob::learn::activation::Activation
    Edited
    To upload designs, you'll need to enable LFS and have an admin enable hashed storage. More information

    Child items ...

    • Activity

    • Amir MOHAMMADI changed title from There a milion warnings in the build process to There are a milion warnings in the build process

      changed title from There a milion warnings in the build process to There are a milion warnings in the build process

    • André Anjos
      André Anjos @aanjos ·
      Owner

      You should remove the inclusion of files like README.rst from your doc list. This can be achieved by setting exclude_patterns = ['links.rst', 'README.rst'] on your conf.py for sphinx.

      That said, it would be good to check all of our packages have a README.rst and that this file does not have errors, but I think we need another bug in bob/bob.admin to handle that for all packages. It is more of a linting issue.

    • André Anjos mentioned in issue bob.admin#76 (moved)

      mentioned in issue bob.admin#76 (moved)

    • Amir MOHAMMADI
      Amir MOHAMMADI @amohammadi ·
      Author Owner

      Having readme.rst files added here is not that bad. I would like to keep it.

    • André Anjos
      André Anjos @aanjos ·
      Owner

      For the errors in bob.buildout, I don't see why that should be an issue. The module bob.buildout.dbpy exists and is included in the documentation. Are you using the right version of bob.buildout? (should be v2.1.6).

    • André Anjos
      André Anjos @aanjos ·
      Owner

      How is that adding anything to it? It seems to me a misleading place to check for this.

      Edited by André Anjos
    • André Anjos
      André Anjos @aanjos ·
      Owner

      For the issue with bob/bob.bio.vein, you need to make sure all nitpick_ignore.txt files are merged before you build the whole documentation.

    • Amir MOHAMMADI
      Amir MOHAMMADI @amohammadi ·
      Author Owner

      The file should be called nitpick-exceptions.txt to be taken into account.

    • Amir MOHAMMADI
      Amir MOHAMMADI @amohammadi ·
      Author Owner

      I render readme of all packages separately in https://www.idiap.ch/software/bob/docs/bob/docs/master/readme_index.html

    • Amir MOHAMMADI
      Amir MOHAMMADI @amohammadi ·
      Author Owner

      For the errors in bob.buildout, I don't see why that should be an issue. The module bob.buildout.dbpy exists and is included in the documentation. Are you using the right version of bob.buildout? (should be v2.1.6).

      I get this error locally only. It's not on the CI. I will remove it.

    • Amir MOHAMMADI changed the description

      changed the description

    • André Anjos
      André Anjos @aanjos ·
      Owner

      Does this still hold? Care to publish an updated list?

    • Amir MOHAMMADI
      Amir MOHAMMADI @amohammadi ·
      Author Owner

      from https://gitlab.idiap.ch/bob/docs/-/jobs/139686

      + sphinx-build /local/builds/bob/docs/conda/../doc /local/builds/bob/docs/conda/../sphinx
Running Sphinx v1.6.3
making output directory...
Adding intersphinx source for `python': https://docs.python.org/3.6/
Adding intersphinx source for `numpy': https://docs.scipy.org/doc/numpy-1.13.0/
Adding intersphinx source for `scipy': https://docs.scipy.org/doc/scipy-1.0.0/reference/
Adding intersphinx source for `matplotlib': http://matplotlib.org/
Adding intersphinx source for `setuptools': https://setuptools.readthedocs.io/en/latest/
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Adding intersphinx source for `sqlalchemy': https://docs.sqlalchemy.org/en/latest/
Adding intersphinx source for `docopt': http://docopt.readthedocs.io/en/latest/
Adding intersphinx source for `scikit-learn': http://scikit-learn.org/stable/
Adding intersphinx source for `scikit-image': http://scikit-image.org/docs/dev/
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font search path ['/lib/python3.6/site-packages/matplotlib/mpl-data/fonts/ttf', '/lib/python3.6/site-packages/matplotlib/mpl-data/fonts/afm', '/lib/python3.6/site-packages/matplotlib/mpl-data/fonts/pdfcorefonts']
generated new fontManager
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[autosummary] generating autosummary for: bob.ap/README.rst, bob.ap/doc/guide.rst, bob.ap/doc/index.rst, bob.ap/doc/links.rst, bob.ap/doc/py_api.rst, bob.bio.base/README.rst, bob.bio.base/doc/annotations.rst, bob.bio.base/doc/baseline.rst, bob.bio.base/doc/experiments.rst, bob.bio.base/doc/filelist-guide.rst, ..., bob/doc/list.rst, bob/doc/source.rst, bob/doc/tutorial.rst, gridtk/README.rst, gridtk/doc/generate.rst, gridtk/doc/index.rst, gridtk/doc/manual.rst, gridtk/doc/program.rst, index.rst, readme_index.rst
bob.pad.voice@2018-06-10 04:29:24,795 -- INFO: Normalization file 'None' does not exist!
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bob.ip.dlib@2018-06-10 04:30:13,225 -- INFO: Downloading the shape_predictor_68_face_landmarks.dat Face model from  database from http://dlib.net/files/shape_predictor_68_face_landmarks.dat.bz2 ...
Downloading the shape_predictor_68_face_landmarks.dat Face model from  database from http://dlib.net/files/shape_predictor_68_face_landmarks.dat.bz2 ...
bob.ip.dlib@2018-06-10 04:31:15,218 -- INFO: Unziping in /lib/python3.6/site-packages/bob/ip/dlib/data
Unziping in /lib/python3.6/site-packages/bob/ip/dlib/data
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bob.ip.facelandmarks.utils@2018-06-10 04:31:31,344 -- INFO: Found 1 valid face detection(s) (after filtering)
Found 1 valid face detection(s) (after filtering)
bob.ip.facelandmarks.utils@2018-06-10 04:31:31,344 -- DEBUG: Detecting landmarks on bounding box 1/1 (quality=22.9897)...
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bob.learn.em@2018-06-10 04:31:59,826 -- DEBUG: Iteration = 1/200
bob.learn.em@2018-06-10 04:31:59,826 -- DEBUG: average euclidean distance = 0.227366
bob.learn.em@2018-06-10 04:31:59,826 -- DEBUG: convergence value = 0.203343
bob.learn.em@2018-06-10 04:31:59,826 -- DEBUG: Iteration = 2/200
bob.learn.em@2018-06-10 04:31:59,826 -- DEBUG: average euclidean distance = 0.220765
bob.learn.em@2018-06-10 04:31:59,826 -- DEBUG: convergence value = 0.029032
bob.learn.em@2018-06-10 04:31:59,827 -- DEBUG: Iteration = 3/200
bob.learn.em@2018-06-10 04:31:59,827 -- DEBUG: average euclidean distance = 0.218629
bob.learn.em@2018-06-10 04:31:59,827 -- DEBUG: convergence value = 0.009675
bob.learn.em@2018-06-10 04:31:59,827 -- DEBUG: Iteration = 4/200
bob.learn.em@2018-06-10 04:31:59,827 -- DEBUG: average euclidean distance = 0.218516
bob.learn.em@2018-06-10 04:31:59,827 -- DEBUG: convergence value = 0.000517
bob.learn.em@2018-06-10 04:31:59,827 -- DEBUG: Iteration = 5/200
bob.learn.em@2018-06-10 04:31:59,827 -- DEBUG: average euclidean distance = 0.218346
bob.learn.em@2018-06-10 04:31:59,827 -- DEBUG: convergence value = 0.000777
bob.learn.em@2018-06-10 04:31:59,827 -- DEBUG: Iteration = 6/200
bob.learn.em@2018-06-10 04:31:59,827 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:31:59,827 -- DEBUG: convergence value = 0.000441
bob.learn.em@2018-06-10 04:31:59,827 -- DEBUG: Iteration = 7/200
bob.learn.em@2018-06-10 04:31:59,827 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:31:59,827 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:31:59,827 -- INFO: EM training converged after 6 iterations with convergence value 0.000000
EM training converged after 6 iterations with convergence value 0.000000
bob.learn.em@2018-06-10 04:32:00,001 -- DEBUG: Iteration = 1/200
bob.learn.em@2018-06-10 04:32:00,001 -- DEBUG: log likelihood = -1.929960
bob.learn.em@2018-06-10 04:32:00,001 -- DEBUG: convergence value = 0.510492
bob.learn.em@2018-06-10 04:32:00,001 -- DEBUG: Iteration = 2/200
bob.learn.em@2018-06-10 04:32:00,001 -- DEBUG: log likelihood = -1.772420
bob.learn.em@2018-06-10 04:32:00,001 -- DEBUG: convergence value = 0.081629
bob.learn.em@2018-06-10 04:32:00,001 -- DEBUG: Iteration = 3/200
bob.learn.em@2018-06-10 04:32:00,001 -- DEBUG: log likelihood = -1.660990
bob.learn.em@2018-06-10 04:32:00,002 -- DEBUG: convergence value = 0.062869
bob.learn.em@2018-06-10 04:32:00,002 -- DEBUG: Iteration = 4/200
bob.learn.em@2018-06-10 04:32:00,002 -- DEBUG: log likelihood = -1.556431
bob.learn.em@2018-06-10 04:32:00,002 -- DEBUG: convergence value = 0.062950
bob.learn.em@2018-06-10 04:32:00,002 -- DEBUG: Iteration = 5/200
bob.learn.em@2018-06-10 04:32:00,002 -- DEBUG: log likelihood = -1.475068
bob.learn.em@2018-06-10 04:32:00,002 -- DEBUG: convergence value = 0.052275
bob.learn.em@2018-06-10 04:32:00,002 -- DEBUG: Iteration = 6/200
bob.learn.em@2018-06-10 04:32:00,002 -- DEBUG: log likelihood = -1.366972
bob.learn.em@2018-06-10 04:32:00,002 -- DEBUG: convergence value = 0.073282
bob.learn.em@2018-06-10 04:32:00,002 -- DEBUG: Iteration = 7/200
bob.learn.em@2018-06-10 04:32:00,002 -- DEBUG: log likelihood = -1.356305
bob.learn.em@2018-06-10 04:32:00,002 -- DEBUG: convergence value = 0.007804
bob.learn.em@2018-06-10 04:32:00,002 -- DEBUG: Iteration = 8/200
bob.learn.em@2018-06-10 04:32:00,002 -- DEBUG: log likelihood = -1.354488
bob.learn.em@2018-06-10 04:32:00,002 -- DEBUG: convergence value = 0.001339
bob.learn.em@2018-06-10 04:32:00,002 -- DEBUG: Iteration = 9/200
bob.learn.em@2018-06-10 04:32:00,003 -- DEBUG: log likelihood = -1.353568
bob.learn.em@2018-06-10 04:32:00,003 -- DEBUG: convergence value = 0.000679
bob.learn.em@2018-06-10 04:32:00,003 -- DEBUG: Iteration = 10/200
bob.learn.em@2018-06-10 04:32:00,003 -- DEBUG: log likelihood = -1.353112
bob.learn.em@2018-06-10 04:32:00,003 -- DEBUG: convergence value = 0.000337
bob.learn.em@2018-06-10 04:32:00,003 -- DEBUG: Iteration = 11/200
bob.learn.em@2018-06-10 04:32:00,003 -- DEBUG: log likelihood = -1.352901
bob.learn.em@2018-06-10 04:32:00,003 -- DEBUG: convergence value = 0.000156
bob.learn.em@2018-06-10 04:32:00,003 -- DEBUG: Iteration = 12/200
bob.learn.em@2018-06-10 04:32:00,003 -- DEBUG: log likelihood = -1.352806
bob.learn.em@2018-06-10 04:32:00,003 -- DEBUG: convergence value = 0.000070
bob.learn.em@2018-06-10 04:32:00,003 -- DEBUG: Iteration = 13/200
bob.learn.em@2018-06-10 04:32:00,003 -- DEBUG: log likelihood = -1.352761
bob.learn.em@2018-06-10 04:32:00,003 -- DEBUG: convergence value = 0.000033
bob.learn.em@2018-06-10 04:32:00,003 -- DEBUG: Iteration = 14/200
bob.learn.em@2018-06-10 04:32:00,003 -- DEBUG: log likelihood = -1.352737
bob.learn.em@2018-06-10 04:32:00,003 -- DEBUG: convergence value = 0.000018
bob.learn.em@2018-06-10 04:32:00,004 -- DEBUG: Iteration = 15/200
bob.learn.em@2018-06-10 04:32:00,004 -- DEBUG: log likelihood = -1.352721
bob.learn.em@2018-06-10 04:32:00,004 -- DEBUG: convergence value = 0.000011
bob.learn.em@2018-06-10 04:32:00,004 -- DEBUG: Iteration = 16/200
bob.learn.em@2018-06-10 04:32:00,004 -- DEBUG: log likelihood = -1.352710
bob.learn.em@2018-06-10 04:32:00,004 -- DEBUG: convergence value = 0.000008
bob.learn.em@2018-06-10 04:32:00,004 -- INFO: EM training converged after 15 iterations with convergence value 0.000008
EM training converged after 15 iterations with convergence value 0.000008
bob.learn.em@2018-06-10 04:32:00,175 -- DEBUG: Iteration = 1/200
bob.learn.em@2018-06-10 04:32:00,175 -- DEBUG: log likelihood = -2.494965
bob.learn.em@2018-06-10 04:32:00,175 -- DEBUG: convergence value = 0.367186
bob.learn.em@2018-06-10 04:32:00,175 -- DEBUG: Iteration = 2/200
bob.learn.em@2018-06-10 04:32:00,176 -- DEBUG: log likelihood = -2.478313
bob.learn.em@2018-06-10 04:32:00,176 -- DEBUG: convergence value = 0.006674
bob.learn.em@2018-06-10 04:32:00,176 -- DEBUG: Iteration = 3/200
bob.learn.em@2018-06-10 04:32:00,176 -- DEBUG: log likelihood = -2.474644
bob.learn.em@2018-06-10 04:32:00,176 -- DEBUG: convergence value = 0.001481
bob.learn.em@2018-06-10 04:32:00,176 -- DEBUG: Iteration = 4/200
bob.learn.em@2018-06-10 04:32:00,176 -- DEBUG: log likelihood = -2.473214
bob.learn.em@2018-06-10 04:32:00,176 -- DEBUG: convergence value = 0.000578
bob.learn.em@2018-06-10 04:32:00,176 -- DEBUG: Iteration = 5/200
bob.learn.em@2018-06-10 04:32:00,176 -- DEBUG: log likelihood = -2.472555
bob.learn.em@2018-06-10 04:32:00,176 -- DEBUG: convergence value = 0.000267
bob.learn.em@2018-06-10 04:32:00,176 -- DEBUG: Iteration = 6/200
bob.learn.em@2018-06-10 04:32:00,176 -- DEBUG: log likelihood = -2.472223
bob.learn.em@2018-06-10 04:32:00,176 -- DEBUG: convergence value = 0.000134
bob.learn.em@2018-06-10 04:32:00,176 -- DEBUG: Iteration = 7/200
bob.learn.em@2018-06-10 04:32:00,176 -- DEBUG: log likelihood = -2.472047
bob.learn.em@2018-06-10 04:32:00,176 -- DEBUG: convergence value = 0.000071
bob.learn.em@2018-06-10 04:32:00,177 -- DEBUG: Iteration = 8/200
bob.learn.em@2018-06-10 04:32:00,177 -- DEBUG: log likelihood = -2.471951
bob.learn.em@2018-06-10 04:32:00,177 -- DEBUG: convergence value = 0.000039
bob.learn.em@2018-06-10 04:32:00,177 -- DEBUG: Iteration = 9/200
bob.learn.em@2018-06-10 04:32:00,177 -- DEBUG: log likelihood = -2.471897
bob.learn.em@2018-06-10 04:32:00,177 -- DEBUG: convergence value = 0.000022
bob.learn.em@2018-06-10 04:32:00,177 -- DEBUG: Iteration = 10/200
bob.learn.em@2018-06-10 04:32:00,177 -- DEBUG: log likelihood = -2.471867
bob.learn.em@2018-06-10 04:32:00,177 -- DEBUG: convergence value = 0.000012
bob.learn.em@2018-06-10 04:32:00,177 -- DEBUG: Iteration = 11/200
bob.learn.em@2018-06-10 04:32:00,177 -- DEBUG: log likelihood = -2.471850
bob.learn.em@2018-06-10 04:32:00,177 -- DEBUG: convergence value = 0.000007
bob.learn.em@2018-06-10 04:32:00,177 -- INFO: EM training converged after 10 iterations with convergence value 0.000007
EM training converged after 10 iterations with convergence value 0.000007
bob.learn.em@2018-06-10 04:32:00,367 -- DEBUG: Iteration = 1/50
bob.learn.em@2018-06-10 04:32:00,367 -- DEBUG: average euclidean distance = 0.227366
bob.learn.em@2018-06-10 04:32:00,368 -- DEBUG: convergence value = 0.203343
bob.learn.em@2018-06-10 04:32:00,368 -- DEBUG: Iteration = 2/50
bob.learn.em@2018-06-10 04:32:00,368 -- DEBUG: average euclidean distance = 0.220765
bob.learn.em@2018-06-10 04:32:00,368 -- DEBUG: convergence value = 0.029032
bob.learn.em@2018-06-10 04:32:00,368 -- DEBUG: Iteration = 3/50
bob.learn.em@2018-06-10 04:32:00,368 -- DEBUG: average euclidean distance = 0.218629
bob.learn.em@2018-06-10 04:32:00,368 -- DEBUG: convergence value = 0.009675
bob.learn.em@2018-06-10 04:32:00,368 -- DEBUG: Iteration = 4/50
bob.learn.em@2018-06-10 04:32:00,368 -- DEBUG: average euclidean distance = 0.218516
bob.learn.em@2018-06-10 04:32:00,368 -- DEBUG: convergence value = 0.000517
bob.learn.em@2018-06-10 04:32:00,368 -- DEBUG: Iteration = 5/50
bob.learn.em@2018-06-10 04:32:00,368 -- DEBUG: average euclidean distance = 0.218346
bob.learn.em@2018-06-10 04:32:00,368 -- DEBUG: convergence value = 0.000777
bob.learn.em@2018-06-10 04:32:00,368 -- DEBUG: Iteration = 6/50
bob.learn.em@2018-06-10 04:32:00,368 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,368 -- DEBUG: convergence value = 0.000441
bob.learn.em@2018-06-10 04:32:00,368 -- DEBUG: Iteration = 7/50
bob.learn.em@2018-06-10 04:32:00,368 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,369 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,369 -- DEBUG: Iteration = 8/50
bob.learn.em@2018-06-10 04:32:00,369 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,369 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,369 -- DEBUG: Iteration = 9/50
bob.learn.em@2018-06-10 04:32:00,369 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,369 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,369 -- DEBUG: Iteration = 10/50
bob.learn.em@2018-06-10 04:32:00,369 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,369 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,369 -- DEBUG: Iteration = 11/50
bob.learn.em@2018-06-10 04:32:00,369 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,369 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,369 -- DEBUG: Iteration = 12/50
bob.learn.em@2018-06-10 04:32:00,369 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,369 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,369 -- DEBUG: Iteration = 13/50
bob.learn.em@2018-06-10 04:32:00,369 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,370 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,370 -- DEBUG: Iteration = 14/50
bob.learn.em@2018-06-10 04:32:00,370 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,370 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,370 -- DEBUG: Iteration = 15/50
bob.learn.em@2018-06-10 04:32:00,370 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,370 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,370 -- DEBUG: Iteration = 16/50
bob.learn.em@2018-06-10 04:32:00,370 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,370 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,370 -- DEBUG: Iteration = 17/50
bob.learn.em@2018-06-10 04:32:00,370 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,370 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,370 -- DEBUG: Iteration = 18/50
bob.learn.em@2018-06-10 04:32:00,370 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,370 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,370 -- DEBUG: Iteration = 19/50
bob.learn.em@2018-06-10 04:32:00,370 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,371 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,371 -- DEBUG: Iteration = 20/50
bob.learn.em@2018-06-10 04:32:00,371 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,371 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,371 -- DEBUG: Iteration = 21/50
bob.learn.em@2018-06-10 04:32:00,371 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,371 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,371 -- DEBUG: Iteration = 22/50
bob.learn.em@2018-06-10 04:32:00,371 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,371 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,371 -- DEBUG: Iteration = 23/50
bob.learn.em@2018-06-10 04:32:00,371 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,371 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,371 -- DEBUG: Iteration = 24/50
bob.learn.em@2018-06-10 04:32:00,371 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,371 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,371 -- DEBUG: Iteration = 25/50
bob.learn.em@2018-06-10 04:32:00,371 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,372 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,372 -- DEBUG: Iteration = 26/50
bob.learn.em@2018-06-10 04:32:00,372 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,372 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,372 -- DEBUG: Iteration = 27/50
bob.learn.em@2018-06-10 04:32:00,372 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,372 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,372 -- DEBUG: Iteration = 28/50
bob.learn.em@2018-06-10 04:32:00,372 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,372 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,372 -- DEBUG: Iteration = 29/50
bob.learn.em@2018-06-10 04:32:00,372 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,372 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,372 -- DEBUG: Iteration = 30/50
bob.learn.em@2018-06-10 04:32:00,372 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,372 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,372 -- DEBUG: Iteration = 31/50
bob.learn.em@2018-06-10 04:32:00,372 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,372 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,373 -- DEBUG: Iteration = 32/50
bob.learn.em@2018-06-10 04:32:00,373 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,373 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,373 -- DEBUG: Iteration = 33/50
bob.learn.em@2018-06-10 04:32:00,373 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,373 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,373 -- DEBUG: Iteration = 34/50
bob.learn.em@2018-06-10 04:32:00,373 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,373 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,373 -- DEBUG: Iteration = 35/50
bob.learn.em@2018-06-10 04:32:00,373 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,373 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,373 -- DEBUG: Iteration = 36/50
bob.learn.em@2018-06-10 04:32:00,373 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,373 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,373 -- DEBUG: Iteration = 37/50
bob.learn.em@2018-06-10 04:32:00,373 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,373 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,374 -- DEBUG: Iteration = 38/50
bob.learn.em@2018-06-10 04:32:00,374 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,374 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,374 -- DEBUG: Iteration = 39/50
bob.learn.em@2018-06-10 04:32:00,374 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,374 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,374 -- DEBUG: Iteration = 40/50
bob.learn.em@2018-06-10 04:32:00,374 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,374 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,374 -- DEBUG: Iteration = 41/50
bob.learn.em@2018-06-10 04:32:00,374 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,374 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,374 -- DEBUG: Iteration = 42/50
bob.learn.em@2018-06-10 04:32:00,374 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,374 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,374 -- DEBUG: Iteration = 43/50
bob.learn.em@2018-06-10 04:32:00,374 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,374 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,374 -- DEBUG: Iteration = 44/50
bob.learn.em@2018-06-10 04:32:00,375 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,375 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,375 -- DEBUG: Iteration = 45/50
bob.learn.em@2018-06-10 04:32:00,375 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,375 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,375 -- DEBUG: Iteration = 46/50
bob.learn.em@2018-06-10 04:32:00,375 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,375 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,375 -- DEBUG: Iteration = 47/50
bob.learn.em@2018-06-10 04:32:00,375 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,375 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,375 -- DEBUG: Iteration = 48/50
bob.learn.em@2018-06-10 04:32:00,375 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,375 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,375 -- DEBUG: Iteration = 49/50
bob.learn.em@2018-06-10 04:32:00,375 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,375 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,375 -- DEBUG: Iteration = 50/50
bob.learn.em@2018-06-10 04:32:00,376 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,376 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,376 -- DEBUG: Iteration = 1/50
bob.learn.em@2018-06-10 04:32:00,376 -- DEBUG: log likelihood = -1.529799
bob.learn.em@2018-06-10 04:32:00,376 -- DEBUG: convergence value = 0.005452
bob.learn.em@2018-06-10 04:32:00,376 -- DEBUG: Iteration = 2/50
bob.learn.em@2018-06-10 04:32:00,376 -- DEBUG: log likelihood = -1.527871
bob.learn.em@2018-06-10 04:32:00,376 -- DEBUG: convergence value = 0.001260
bob.learn.em@2018-06-10 04:32:00,376 -- DEBUG: Iteration = 3/50
bob.learn.em@2018-06-10 04:32:00,376 -- DEBUG: log likelihood = -1.527129
bob.learn.em@2018-06-10 04:32:00,376 -- DEBUG: convergence value = 0.000486
bob.learn.em@2018-06-10 04:32:00,376 -- DEBUG: Iteration = 4/50
bob.learn.em@2018-06-10 04:32:00,376 -- DEBUG: log likelihood = -1.526824
bob.learn.em@2018-06-10 04:32:00,376 -- DEBUG: convergence value = 0.000200
bob.learn.em@2018-06-10 04:32:00,376 -- DEBUG: Iteration = 5/50
bob.learn.em@2018-06-10 04:32:00,377 -- DEBUG: log likelihood = -1.526698
bob.learn.em@2018-06-10 04:32:00,377 -- DEBUG: convergence value = 0.000082
bob.learn.em@2018-06-10 04:32:00,377 -- DEBUG: Iteration = 6/50
bob.learn.em@2018-06-10 04:32:00,377 -- DEBUG: log likelihood = -1.526646
bob.learn.em@2018-06-10 04:32:00,377 -- DEBUG: convergence value = 0.000034
bob.learn.em@2018-06-10 04:32:00,377 -- DEBUG: Iteration = 7/50
bob.learn.em@2018-06-10 04:32:00,377 -- DEBUG: log likelihood = -1.526625
bob.learn.em@2018-06-10 04:32:00,377 -- DEBUG: convergence value = 0.000014
bob.learn.em@2018-06-10 04:32:00,377 -- DEBUG: Iteration = 8/50
bob.learn.em@2018-06-10 04:32:00,377 -- DEBUG: log likelihood = -1.526617
bob.learn.em@2018-06-10 04:32:00,377 -- DEBUG: convergence value = 0.000006
bob.learn.em@2018-06-10 04:32:00,377 -- DEBUG: Iteration = 9/50
bob.learn.em@2018-06-10 04:32:00,377 -- DEBUG: log likelihood = -1.526613
bob.learn.em@2018-06-10 04:32:00,377 -- DEBUG: convergence value = 0.000002
bob.learn.em@2018-06-10 04:32:00,377 -- DEBUG: Iteration = 10/50
bob.learn.em@2018-06-10 04:32:00,377 -- DEBUG: log likelihood = -1.526612
bob.learn.em@2018-06-10 04:32:00,377 -- DEBUG: convergence value = 0.000001
bob.learn.em@2018-06-10 04:32:00,378 -- DEBUG: Iteration = 11/50
bob.learn.em@2018-06-10 04:32:00,378 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,378 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,378 -- DEBUG: Iteration = 12/50
bob.learn.em@2018-06-10 04:32:00,378 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,378 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,378 -- DEBUG: Iteration = 13/50
bob.learn.em@2018-06-10 04:32:00,378 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,378 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,378 -- DEBUG: Iteration = 14/50
bob.learn.em@2018-06-10 04:32:00,378 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,378 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,378 -- DEBUG: Iteration = 15/50
bob.learn.em@2018-06-10 04:32:00,378 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,378 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,378 -- DEBUG: Iteration = 16/50
bob.learn.em@2018-06-10 04:32:00,378 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,379 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,379 -- DEBUG: Iteration = 17/50
bob.learn.em@2018-06-10 04:32:00,379 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,379 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,379 -- DEBUG: Iteration = 18/50
bob.learn.em@2018-06-10 04:32:00,379 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,379 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,379 -- DEBUG: Iteration = 19/50
bob.learn.em@2018-06-10 04:32:00,379 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,379 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,379 -- DEBUG: Iteration = 20/50
bob.learn.em@2018-06-10 04:32:00,379 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,379 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,379 -- DEBUG: Iteration = 21/50
bob.learn.em@2018-06-10 04:32:00,379 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,379 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,379 -- DEBUG: Iteration = 22/50
bob.learn.em@2018-06-10 04:32:00,380 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,380 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,380 -- DEBUG: Iteration = 23/50
bob.learn.em@2018-06-10 04:32:00,380 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,380 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,380 -- DEBUG: Iteration = 24/50
bob.learn.em@2018-06-10 04:32:00,380 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,380 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,380 -- DEBUG: Iteration = 25/50
bob.learn.em@2018-06-10 04:32:00,380 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,380 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,380 -- DEBUG: Iteration = 26/50
bob.learn.em@2018-06-10 04:32:00,380 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,380 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,380 -- DEBUG: Iteration = 27/50
bob.learn.em@2018-06-10 04:32:00,380 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,380 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,380 -- DEBUG: Iteration = 28/50
bob.learn.em@2018-06-10 04:32:00,381 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,381 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,381 -- DEBUG: Iteration = 29/50
bob.learn.em@2018-06-10 04:32:00,381 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,381 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,381 -- DEBUG: Iteration = 30/50
bob.learn.em@2018-06-10 04:32:00,381 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,381 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,381 -- DEBUG: Iteration = 31/50
bob.learn.em@2018-06-10 04:32:00,381 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,381 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,381 -- DEBUG: Iteration = 32/50
bob.learn.em@2018-06-10 04:32:00,381 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,381 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,381 -- DEBUG: Iteration = 33/50
bob.learn.em@2018-06-10 04:32:00,381 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,381 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,382 -- DEBUG: Iteration = 34/50
bob.learn.em@2018-06-10 04:32:00,382 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,382 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,382 -- DEBUG: Iteration = 35/50
bob.learn.em@2018-06-10 04:32:00,382 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,382 -- DEBUG: convergence value = 0.000000
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bob.learn.em@2018-06-10 04:32:00,382 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,382 -- DEBUG: convergence value = 0.000000
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bob.learn.em@2018-06-10 04:32:00,382 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,382 -- DEBUG: convergence value = 0.000000
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bob.learn.em@2018-06-10 04:32:00,382 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,382 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,382 -- DEBUG: Iteration = 39/50
bob.learn.em@2018-06-10 04:32:00,383 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,383 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,383 -- DEBUG: Iteration = 40/50
bob.learn.em@2018-06-10 04:32:00,383 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,383 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,383 -- DEBUG: Iteration = 41/50
bob.learn.em@2018-06-10 04:32:00,383 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,383 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,383 -- DEBUG: Iteration = 42/50
bob.learn.em@2018-06-10 04:32:00,383 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,383 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,383 -- DEBUG: Iteration = 43/50
bob.learn.em@2018-06-10 04:32:00,383 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,383 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,383 -- DEBUG: Iteration = 44/50
bob.learn.em@2018-06-10 04:32:00,383 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,383 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,383 -- DEBUG: Iteration = 45/50
bob.learn.em@2018-06-10 04:32:00,384 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,384 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,384 -- DEBUG: Iteration = 46/50
bob.learn.em@2018-06-10 04:32:00,384 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,384 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,384 -- DEBUG: Iteration = 47/50
bob.learn.em@2018-06-10 04:32:00,384 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,384 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,384 -- DEBUG: Iteration = 48/50
bob.learn.em@2018-06-10 04:32:00,384 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,384 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,384 -- DEBUG: Iteration = 49/50
bob.learn.em@2018-06-10 04:32:00,384 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,384 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,384 -- DEBUG: Iteration = 50/50
bob.learn.em@2018-06-10 04:32:00,384 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,384 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,386 -- DEBUG: Iteration = 1/50
bob.learn.em@2018-06-10 04:32:00,386 -- DEBUG: Iteration = 2/50
bob.learn.em@2018-06-10 04:32:00,387 -- DEBUG: Iteration = 3/50
bob.learn.em@2018-06-10 04:32:00,387 -- DEBUG: Iteration = 4/50
bob.learn.em@2018-06-10 04:32:00,388 -- DEBUG: Iteration = 5/50
bob.learn.em@2018-06-10 04:32:00,389 -- DEBUG: Iteration = 6/50
bob.learn.em@2018-06-10 04:32:00,389 -- DEBUG: Iteration = 7/50
bob.learn.em@2018-06-10 04:32:00,390 -- DEBUG: Iteration = 8/50
bob.learn.em@2018-06-10 04:32:00,390 -- DEBUG: Iteration = 9/50
bob.learn.em@2018-06-10 04:32:00,391 -- DEBUG: Iteration = 10/50
bob.learn.em@2018-06-10 04:32:00,392 -- DEBUG: Iteration = 11/50
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bob.learn.em@2018-06-10 04:32:00,393 -- DEBUG: Iteration = 13/50
bob.learn.em@2018-06-10 04:32:00,393 -- DEBUG: Iteration = 14/50
bob.learn.em@2018-06-10 04:32:00,394 -- DEBUG: Iteration = 15/50
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bob.learn.em@2018-06-10 04:32:00,395 -- DEBUG: Iteration = 17/50
bob.learn.em@2018-06-10 04:32:00,396 -- DEBUG: Iteration = 18/50
bob.learn.em@2018-06-10 04:32:00,396 -- DEBUG: Iteration = 19/50
bob.learn.em@2018-06-10 04:32:00,397 -- DEBUG: Iteration = 20/50
bob.learn.em@2018-06-10 04:32:00,397 -- DEBUG: Iteration = 21/50
bob.learn.em@2018-06-10 04:32:00,398 -- DEBUG: Iteration = 22/50
bob.learn.em@2018-06-10 04:32:00,399 -- DEBUG: Iteration = 23/50
bob.learn.em@2018-06-10 04:32:00,399 -- DEBUG: Iteration = 24/50
bob.learn.em@2018-06-10 04:32:00,400 -- DEBUG: Iteration = 25/50
bob.learn.em@2018-06-10 04:32:00,400 -- DEBUG: Iteration = 26/50
bob.learn.em@2018-06-10 04:32:00,401 -- DEBUG: Iteration = 27/50
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bob.learn.em@2018-06-10 04:32:00,404 -- DEBUG: Iteration = 32/50
bob.learn.em@2018-06-10 04:32:00,404 -- DEBUG: Iteration = 33/50
bob.learn.em@2018-06-10 04:32:00,405 -- DEBUG: Iteration = 34/50
bob.learn.em@2018-06-10 04:32:00,406 -- DEBUG: Iteration = 35/50
bob.learn.em@2018-06-10 04:32:00,406 -- DEBUG: Iteration = 36/50
bob.learn.em@2018-06-10 04:32:00,407 -- DEBUG: Iteration = 37/50
bob.learn.em@2018-06-10 04:32:00,407 -- DEBUG: Iteration = 38/50
bob.learn.em@2018-06-10 04:32:00,408 -- DEBUG: Iteration = 39/50
bob.learn.em@2018-06-10 04:32:00,409 -- DEBUG: Iteration = 40/50
bob.learn.em@2018-06-10 04:32:00,409 -- DEBUG: Iteration = 41/50
bob.learn.em@2018-06-10 04:32:00,410 -- DEBUG: Iteration = 42/50
bob.learn.em@2018-06-10 04:32:00,410 -- DEBUG: Iteration = 43/50
bob.learn.em@2018-06-10 04:32:00,411 -- DEBUG: Iteration = 44/50
bob.learn.em@2018-06-10 04:32:00,412 -- DEBUG: Iteration = 45/50
bob.learn.em@2018-06-10 04:32:00,412 -- DEBUG: Iteration = 46/50
bob.learn.em@2018-06-10 04:32:00,413 -- DEBUG: Iteration = 47/50
bob.learn.em@2018-06-10 04:32:00,413 -- DEBUG: Iteration = 48/50
bob.learn.em@2018-06-10 04:32:00,414 -- DEBUG: Iteration = 49/50
bob.learn.em@2018-06-10 04:32:00,414 -- DEBUG: Iteration = 50/50
bob.learn.em@2018-06-10 04:32:00,652 -- DEBUG: Iteration = 1/50
bob.learn.em@2018-06-10 04:32:00,652 -- DEBUG: average euclidean distance = 0.227366
bob.learn.em@2018-06-10 04:32:00,652 -- DEBUG: convergence value = 0.203343
bob.learn.em@2018-06-10 04:32:00,652 -- DEBUG: Iteration = 2/50
bob.learn.em@2018-06-10 04:32:00,652 -- DEBUG: average euclidean distance = 0.220765
bob.learn.em@2018-06-10 04:32:00,652 -- DEBUG: convergence value = 0.029032
bob.learn.em@2018-06-10 04:32:00,652 -- DEBUG: Iteration = 3/50
bob.learn.em@2018-06-10 04:32:00,652 -- DEBUG: average euclidean distance = 0.218629
bob.learn.em@2018-06-10 04:32:00,652 -- DEBUG: convergence value = 0.009675
bob.learn.em@2018-06-10 04:32:00,652 -- DEBUG: Iteration = 4/50
bob.learn.em@2018-06-10 04:32:00,652 -- DEBUG: average euclidean distance = 0.218516
bob.learn.em@2018-06-10 04:32:00,652 -- DEBUG: convergence value = 0.000517
bob.learn.em@2018-06-10 04:32:00,653 -- DEBUG: Iteration = 5/50
bob.learn.em@2018-06-10 04:32:00,653 -- DEBUG: average euclidean distance = 0.218346
bob.learn.em@2018-06-10 04:32:00,653 -- DEBUG: convergence value = 0.000777
bob.learn.em@2018-06-10 04:32:00,653 -- DEBUG: Iteration = 6/50
bob.learn.em@2018-06-10 04:32:00,653 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,653 -- DEBUG: convergence value = 0.000441
bob.learn.em@2018-06-10 04:32:00,653 -- DEBUG: Iteration = 7/50
bob.learn.em@2018-06-10 04:32:00,653 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,653 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,653 -- DEBUG: Iteration = 8/50
bob.learn.em@2018-06-10 04:32:00,653 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,653 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,653 -- DEBUG: Iteration = 9/50
bob.learn.em@2018-06-10 04:32:00,653 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,653 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,653 -- DEBUG: Iteration = 10/50
bob.learn.em@2018-06-10 04:32:00,653 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,653 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,653 -- DEBUG: Iteration = 11/50
bob.learn.em@2018-06-10 04:32:00,654 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,654 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,654 -- DEBUG: Iteration = 12/50
bob.learn.em@2018-06-10 04:32:00,654 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,654 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,654 -- DEBUG: Iteration = 13/50
bob.learn.em@2018-06-10 04:32:00,654 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,654 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,654 -- DEBUG: Iteration = 14/50
bob.learn.em@2018-06-10 04:32:00,654 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,654 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,654 -- DEBUG: Iteration = 15/50
bob.learn.em@2018-06-10 04:32:00,654 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,654 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,654 -- DEBUG: Iteration = 16/50
bob.learn.em@2018-06-10 04:32:00,654 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,654 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,654 -- DEBUG: Iteration = 17/50
bob.learn.em@2018-06-10 04:32:00,655 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,655 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,655 -- DEBUG: Iteration = 18/50
bob.learn.em@2018-06-10 04:32:00,655 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,655 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,655 -- DEBUG: Iteration = 19/50
bob.learn.em@2018-06-10 04:32:00,655 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,655 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,655 -- DEBUG: Iteration = 20/50
bob.learn.em@2018-06-10 04:32:00,655 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,655 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,655 -- DEBUG: Iteration = 21/50
bob.learn.em@2018-06-10 04:32:00,655 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,655 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,655 -- DEBUG: Iteration = 22/50
bob.learn.em@2018-06-10 04:32:00,655 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,655 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,655 -- DEBUG: Iteration = 23/50
bob.learn.em@2018-06-10 04:32:00,656 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,656 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,656 -- DEBUG: Iteration = 24/50
bob.learn.em@2018-06-10 04:32:00,656 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,656 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,656 -- DEBUG: Iteration = 25/50
bob.learn.em@2018-06-10 04:32:00,656 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,656 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,656 -- DEBUG: Iteration = 26/50
bob.learn.em@2018-06-10 04:32:00,656 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,656 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,656 -- DEBUG: Iteration = 27/50
bob.learn.em@2018-06-10 04:32:00,656 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,656 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,656 -- DEBUG: Iteration = 28/50
bob.learn.em@2018-06-10 04:32:00,656 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,656 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,656 -- DEBUG: Iteration = 29/50
bob.learn.em@2018-06-10 04:32:00,657 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,657 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,657 -- DEBUG: Iteration = 30/50
bob.learn.em@2018-06-10 04:32:00,657 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,657 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,657 -- DEBUG: Iteration = 31/50
bob.learn.em@2018-06-10 04:32:00,657 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,657 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,657 -- DEBUG: Iteration = 32/50
bob.learn.em@2018-06-10 04:32:00,657 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,657 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,657 -- DEBUG: Iteration = 33/50
bob.learn.em@2018-06-10 04:32:00,657 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,657 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,657 -- DEBUG: Iteration = 34/50
bob.learn.em@2018-06-10 04:32:00,657 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,657 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,657 -- DEBUG: Iteration = 35/50
bob.learn.em@2018-06-10 04:32:00,657 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,658 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,658 -- DEBUG: Iteration = 36/50
bob.learn.em@2018-06-10 04:32:00,658 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,658 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,658 -- DEBUG: Iteration = 37/50
bob.learn.em@2018-06-10 04:32:00,658 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,658 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,658 -- DEBUG: Iteration = 38/50
bob.learn.em@2018-06-10 04:32:00,658 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,658 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,658 -- DEBUG: Iteration = 39/50
bob.learn.em@2018-06-10 04:32:00,658 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,658 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,658 -- DEBUG: Iteration = 40/50
bob.learn.em@2018-06-10 04:32:00,658 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,658 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,658 -- DEBUG: Iteration = 41/50
bob.learn.em@2018-06-10 04:32:00,658 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,658 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,659 -- DEBUG: Iteration = 42/50
bob.learn.em@2018-06-10 04:32:00,659 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,659 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,659 -- DEBUG: Iteration = 43/50
bob.learn.em@2018-06-10 04:32:00,659 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,659 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,659 -- DEBUG: Iteration = 44/50
bob.learn.em@2018-06-10 04:32:00,659 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,659 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,659 -- DEBUG: Iteration = 45/50
bob.learn.em@2018-06-10 04:32:00,659 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,659 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,659 -- DEBUG: Iteration = 46/50
bob.learn.em@2018-06-10 04:32:00,659 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,659 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,659 -- DEBUG: Iteration = 47/50
bob.learn.em@2018-06-10 04:32:00,659 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,659 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,660 -- DEBUG: Iteration = 48/50
bob.learn.em@2018-06-10 04:32:00,660 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,660 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,660 -- DEBUG: Iteration = 49/50
bob.learn.em@2018-06-10 04:32:00,660 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,660 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,660 -- DEBUG: Iteration = 50/50
bob.learn.em@2018-06-10 04:32:00,660 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,660 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,660 -- DEBUG: Iteration = 1/50
bob.learn.em@2018-06-10 04:32:00,660 -- DEBUG: log likelihood = -1.529799
bob.learn.em@2018-06-10 04:32:00,660 -- DEBUG: convergence value = 0.005452
bob.learn.em@2018-06-10 04:32:00,660 -- DEBUG: Iteration = 2/50
bob.learn.em@2018-06-10 04:32:00,660 -- DEBUG: log likelihood = -1.527871
bob.learn.em@2018-06-10 04:32:00,660 -- DEBUG: convergence value = 0.001260
bob.learn.em@2018-06-10 04:32:00,661 -- DEBUG: Iteration = 3/50
bob.learn.em@2018-06-10 04:32:00,661 -- DEBUG: log likelihood = -1.527129
bob.learn.em@2018-06-10 04:32:00,661 -- DEBUG: convergence value = 0.000486
bob.learn.em@2018-06-10 04:32:00,661 -- DEBUG: Iteration = 4/50
bob.learn.em@2018-06-10 04:32:00,661 -- DEBUG: log likelihood = -1.526824
bob.learn.em@2018-06-10 04:32:00,661 -- DEBUG: convergence value = 0.000200
bob.learn.em@2018-06-10 04:32:00,661 -- DEBUG: Iteration = 5/50
bob.learn.em@2018-06-10 04:32:00,661 -- DEBUG: log likelihood = -1.526698
bob.learn.em@2018-06-10 04:32:00,661 -- DEBUG: convergence value = 0.000082
bob.learn.em@2018-06-10 04:32:00,661 -- DEBUG: Iteration = 6/50
bob.learn.em@2018-06-10 04:32:00,661 -- DEBUG: log likelihood = -1.526646
bob.learn.em@2018-06-10 04:32:00,661 -- DEBUG: convergence value = 0.000034
bob.learn.em@2018-06-10 04:32:00,661 -- DEBUG: Iteration = 7/50
bob.learn.em@2018-06-10 04:32:00,661 -- DEBUG: log likelihood = -1.526625
bob.learn.em@2018-06-10 04:32:00,661 -- DEBUG: convergence value = 0.000014
bob.learn.em@2018-06-10 04:32:00,661 -- DEBUG: Iteration = 8/50
bob.learn.em@2018-06-10 04:32:00,661 -- DEBUG: log likelihood = -1.526617
bob.learn.em@2018-06-10 04:32:00,662 -- DEBUG: convergence value = 0.000006
bob.learn.em@2018-06-10 04:32:00,662 -- DEBUG: Iteration = 9/50
bob.learn.em@2018-06-10 04:32:00,662 -- DEBUG: log likelihood = -1.526613
bob.learn.em@2018-06-10 04:32:00,662 -- DEBUG: convergence value = 0.000002
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bob.learn.em@2018-06-10 04:32:00,662 -- DEBUG: log likelihood = -1.526612
bob.learn.em@2018-06-10 04:32:00,662 -- DEBUG: convergence value = 0.000001
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bob.learn.em@2018-06-10 04:32:00,662 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,662 -- DEBUG: convergence value = 0.000000
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bob.learn.em@2018-06-10 04:32:00,662 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,662 -- DEBUG: convergence value = 0.000000
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bob.learn.em@2018-06-10 04:32:00,662 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,662 -- DEBUG: convergence value = 0.000000
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bob.learn.em@2018-06-10 04:32:00,663 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,663 -- DEBUG: convergence value = 0.000000
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bob.learn.em@2018-06-10 04:32:00,663 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,663 -- DEBUG: convergence value = 0.000000
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bob.learn.em@2018-06-10 04:32:00,663 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,663 -- DEBUG: convergence value = 0.000000
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bob.learn.em@2018-06-10 04:32:00,663 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,663 -- DEBUG: convergence value = 0.000000
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bob.learn.em@2018-06-10 04:32:00,663 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,663 -- DEBUG: convergence value = 0.000000
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bob.learn.em@2018-06-10 04:32:00,663 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,663 -- DEBUG: convergence value = 0.000000
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bob.learn.em@2018-06-10 04:32:00,664 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,664 -- DEBUG: convergence value = 0.000000
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bob.learn.em@2018-06-10 04:32:00,664 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,664 -- DEBUG: convergence value = 0.000000
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bob.learn.em@2018-06-10 04:32:00,664 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,664 -- DEBUG: convergence value = 0.000000
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bob.learn.em@2018-06-10 04:32:00,664 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,664 -- DEBUG: convergence value = 0.000000
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bob.learn.em@2018-06-10 04:32:00,664 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,664 -- DEBUG: convergence value = 0.000000
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bob.learn.em@2018-06-10 04:32:00,664 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,664 -- DEBUG: convergence value = 0.000000
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bob.learn.em@2018-06-10 04:32:00,665 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,665 -- DEBUG: convergence value = 0.000000
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bob.learn.em@2018-06-10 04:32:00,665 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,665 -- DEBUG: convergence value = 0.000000
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bob.learn.em@2018-06-10 04:32:00,665 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,665 -- DEBUG: convergence value = 0.000000
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bob.learn.em@2018-06-10 04:32:00,665 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,665 -- DEBUG: convergence value = 0.000000
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bob.learn.em@2018-06-10 04:32:00,665 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,665 -- DEBUG: convergence value = 0.000000
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bob.learn.em@2018-06-10 04:32:00,665 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,666 -- DEBUG: convergence value = 0.000000
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bob.learn.em@2018-06-10 04:32:00,666 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,666 -- DEBUG: convergence value = 0.000000
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bob.learn.em@2018-06-10 04:32:00,666 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,666 -- DEBUG: convergence value = 0.000000
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bob.learn.em@2018-06-10 04:32:00,666 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,666 -- DEBUG: convergence value = 0.000000
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bob.learn.em@2018-06-10 04:32:00,666 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,666 -- DEBUG: convergence value = 0.000000
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bob.learn.em@2018-06-10 04:32:00,666 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,666 -- DEBUG: convergence value = 0.000000
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bob.learn.em@2018-06-10 04:32:00,667 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,667 -- DEBUG: convergence value = 0.000000
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bob.learn.em@2018-06-10 04:32:00,667 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,667 -- DEBUG: convergence value = 0.000000
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bob.learn.em@2018-06-10 04:32:00,667 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,667 -- DEBUG: convergence value = 0.000000
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bob.learn.em@2018-06-10 04:32:00,667 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,667 -- DEBUG: convergence value = 0.000000
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bob.learn.em@2018-06-10 04:32:00,667 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,667 -- DEBUG: convergence value = 0.000000
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bob.learn.em@2018-06-10 04:32:00,667 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,667 -- DEBUG: convergence value = 0.000000
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bob.learn.em@2018-06-10 04:32:00,668 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,668 -- DEBUG: convergence value = 0.000000
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bob.learn.em@2018-06-10 04:32:00,668 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,668 -- DEBUG: convergence value = 0.000000
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bob.learn.em@2018-06-10 04:32:00,668 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,668 -- DEBUG: convergence value = 0.000000
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bob.learn.em@2018-06-10 04:32:00,668 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,668 -- DEBUG: convergence value = 0.000000
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bob.learn.em@2018-06-10 04:32:00,668 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,668 -- DEBUG: convergence value = 0.000000
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bob.learn.em@2018-06-10 04:32:00,668 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,668 -- DEBUG: convergence value = 0.000000
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bob.learn.em@2018-06-10 04:32:00,669 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,669 -- DEBUG: convergence value = 0.000000
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bob.learn.em@2018-06-10 04:32:00,669 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:00,669 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,669 -- INFO: V subspace estimation...
V subspace estimation...
bob.learn.em@2018-06-10 04:32:00,670 -- DEBUG: Iteration = 1/50
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bob.learn.em@2018-06-10 04:32:00,678 -- INFO: U subspace estimation...
U subspace estimation...
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bob.learn.em@2018-06-10 04:32:00,705 -- DEBUG: Iteration = 50/50
bob.learn.em@2018-06-10 04:32:00,706 -- INFO: D subspace estimation...
D subspace estimation...
bob.learn.em@2018-06-10 04:32:00,706 -- DEBUG: Iteration = 1/50
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bob.learn.em@2018-06-10 04:32:00,713 -- DEBUG: Iteration = 49/50
bob.learn.em@2018-06-10 04:32:00,713 -- DEBUG: Iteration = 50/50
bob.learn.em@2018-06-10 04:32:00,991 -- DEBUG: Iteration = 1/50
bob.learn.em@2018-06-10 04:32:00,992 -- DEBUG: average euclidean distance = 0.227366
bob.learn.em@2018-06-10 04:32:00,992 -- DEBUG: convergence value = 0.203343
bob.learn.em@2018-06-10 04:32:00,992 -- DEBUG: Iteration = 2/50
bob.learn.em@2018-06-10 04:32:00,992 -- DEBUG: average euclidean distance = 0.220765
bob.learn.em@2018-06-10 04:32:00,992 -- DEBUG: convergence value = 0.029032
bob.learn.em@2018-06-10 04:32:00,992 -- DEBUG: Iteration = 3/50
bob.learn.em@2018-06-10 04:32:00,992 -- DEBUG: average euclidean distance = 0.218629
bob.learn.em@2018-06-10 04:32:00,992 -- DEBUG: convergence value = 0.009675
bob.learn.em@2018-06-10 04:32:00,992 -- DEBUG: Iteration = 4/50
bob.learn.em@2018-06-10 04:32:00,992 -- DEBUG: average euclidean distance = 0.218516
bob.learn.em@2018-06-10 04:32:00,992 -- DEBUG: convergence value = 0.000517
bob.learn.em@2018-06-10 04:32:00,992 -- DEBUG: Iteration = 5/50
bob.learn.em@2018-06-10 04:32:00,992 -- DEBUG: average euclidean distance = 0.218346
bob.learn.em@2018-06-10 04:32:00,992 -- DEBUG: convergence value = 0.000777
bob.learn.em@2018-06-10 04:32:00,992 -- DEBUG: Iteration = 6/50
bob.learn.em@2018-06-10 04:32:00,992 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,992 -- DEBUG: convergence value = 0.000441
bob.learn.em@2018-06-10 04:32:00,992 -- DEBUG: Iteration = 7/50
bob.learn.em@2018-06-10 04:32:00,993 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,993 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,993 -- DEBUG: Iteration = 8/50
bob.learn.em@2018-06-10 04:32:00,993 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,993 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,993 -- DEBUG: Iteration = 9/50
bob.learn.em@2018-06-10 04:32:00,993 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,993 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,993 -- DEBUG: Iteration = 10/50
bob.learn.em@2018-06-10 04:32:00,993 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,993 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,993 -- DEBUG: Iteration = 11/50
bob.learn.em@2018-06-10 04:32:00,993 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,993 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,993 -- DEBUG: Iteration = 12/50
bob.learn.em@2018-06-10 04:32:00,993 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,993 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,993 -- DEBUG: Iteration = 13/50
bob.learn.em@2018-06-10 04:32:00,993 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,994 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,994 -- DEBUG: Iteration = 14/50
bob.learn.em@2018-06-10 04:32:00,994 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,994 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,994 -- DEBUG: Iteration = 15/50
bob.learn.em@2018-06-10 04:32:00,994 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,994 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,994 -- DEBUG: Iteration = 16/50
bob.learn.em@2018-06-10 04:32:00,994 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,994 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,994 -- DEBUG: Iteration = 17/50
bob.learn.em@2018-06-10 04:32:00,994 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,994 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,994 -- DEBUG: Iteration = 18/50
bob.learn.em@2018-06-10 04:32:00,994 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,994 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,994 -- DEBUG: Iteration = 19/50
bob.learn.em@2018-06-10 04:32:00,994 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,995 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,995 -- DEBUG: Iteration = 20/50
bob.learn.em@2018-06-10 04:32:00,995 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,995 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,995 -- DEBUG: Iteration = 21/50
bob.learn.em@2018-06-10 04:32:00,995 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,995 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,995 -- DEBUG: Iteration = 22/50
bob.learn.em@2018-06-10 04:32:00,995 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,995 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,995 -- DEBUG: Iteration = 23/50
bob.learn.em@2018-06-10 04:32:00,995 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,995 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,995 -- DEBUG: Iteration = 24/50
bob.learn.em@2018-06-10 04:32:00,995 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,995 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,995 -- DEBUG: Iteration = 25/50
bob.learn.em@2018-06-10 04:32:00,995 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,996 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,996 -- DEBUG: Iteration = 26/50
bob.learn.em@2018-06-10 04:32:00,996 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,996 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,996 -- DEBUG: Iteration = 27/50
bob.learn.em@2018-06-10 04:32:00,996 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,996 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,996 -- DEBUG: Iteration = 28/50
bob.learn.em@2018-06-10 04:32:00,996 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,996 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,996 -- DEBUG: Iteration = 29/50
bob.learn.em@2018-06-10 04:32:00,996 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,996 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,996 -- DEBUG: Iteration = 30/50
bob.learn.em@2018-06-10 04:32:00,996 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,996 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,996 -- DEBUG: Iteration = 31/50
bob.learn.em@2018-06-10 04:32:00,996 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,996 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,997 -- DEBUG: Iteration = 32/50
bob.learn.em@2018-06-10 04:32:00,997 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,997 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,997 -- DEBUG: Iteration = 33/50
bob.learn.em@2018-06-10 04:32:00,997 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,997 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,997 -- DEBUG: Iteration = 34/50
bob.learn.em@2018-06-10 04:32:00,997 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,997 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,997 -- DEBUG: Iteration = 35/50
bob.learn.em@2018-06-10 04:32:00,997 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,997 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,997 -- DEBUG: Iteration = 36/50
bob.learn.em@2018-06-10 04:32:00,997 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,997 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,997 -- DEBUG: Iteration = 37/50
bob.learn.em@2018-06-10 04:32:00,997 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,997 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,997 -- DEBUG: Iteration = 38/50
bob.learn.em@2018-06-10 04:32:00,998 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,998 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,998 -- DEBUG: Iteration = 39/50
bob.learn.em@2018-06-10 04:32:00,998 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,998 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,998 -- DEBUG: Iteration = 40/50
bob.learn.em@2018-06-10 04:32:00,998 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,998 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,998 -- DEBUG: Iteration = 41/50
bob.learn.em@2018-06-10 04:32:00,998 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,998 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,998 -- DEBUG: Iteration = 42/50
bob.learn.em@2018-06-10 04:32:00,998 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,998 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,998 -- DEBUG: Iteration = 43/50
bob.learn.em@2018-06-10 04:32:00,998 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,998 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,998 -- DEBUG: Iteration = 44/50
bob.learn.em@2018-06-10 04:32:00,999 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,999 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,999 -- DEBUG: Iteration = 45/50
bob.learn.em@2018-06-10 04:32:00,999 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,999 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,999 -- DEBUG: Iteration = 46/50
bob.learn.em@2018-06-10 04:32:00,999 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,999 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,999 -- DEBUG: Iteration = 47/50
bob.learn.em@2018-06-10 04:32:00,999 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,999 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,999 -- DEBUG: Iteration = 48/50
bob.learn.em@2018-06-10 04:32:00,999 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,999 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,999 -- DEBUG: Iteration = 49/50
bob.learn.em@2018-06-10 04:32:00,999 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:00,999 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:00,999 -- DEBUG: Iteration = 50/50
bob.learn.em@2018-06-10 04:32:01,000 -- DEBUG: average euclidean distance = 0.218250
bob.learn.em@2018-06-10 04:32:01,000 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:01,000 -- DEBUG: Iteration = 1/50
bob.learn.em@2018-06-10 04:32:01,000 -- DEBUG: log likelihood = -1.529799
bob.learn.em@2018-06-10 04:32:01,000 -- DEBUG: convergence value = 0.005452
bob.learn.em@2018-06-10 04:32:01,000 -- DEBUG: Iteration = 2/50
bob.learn.em@2018-06-10 04:32:01,000 -- DEBUG: log likelihood = -1.527871
bob.learn.em@2018-06-10 04:32:01,000 -- DEBUG: convergence value = 0.001260
bob.learn.em@2018-06-10 04:32:01,000 -- DEBUG: Iteration = 3/50
bob.learn.em@2018-06-10 04:32:01,000 -- DEBUG: log likelihood = -1.527129
bob.learn.em@2018-06-10 04:32:01,000 -- DEBUG: convergence value = 0.000486
bob.learn.em@2018-06-10 04:32:01,000 -- DEBUG: Iteration = 4/50
bob.learn.em@2018-06-10 04:32:01,000 -- DEBUG: log likelihood = -1.526824
bob.learn.em@2018-06-10 04:32:01,000 -- DEBUG: convergence value = 0.000200
bob.learn.em@2018-06-10 04:32:01,000 -- DEBUG: Iteration = 5/50
bob.learn.em@2018-06-10 04:32:01,001 -- DEBUG: log likelihood = -1.526698
bob.learn.em@2018-06-10 04:32:01,001 -- DEBUG: convergence value = 0.000082
bob.learn.em@2018-06-10 04:32:01,001 -- DEBUG: Iteration = 6/50
bob.learn.em@2018-06-10 04:32:01,001 -- DEBUG: log likelihood = -1.526646
bob.learn.em@2018-06-10 04:32:01,001 -- DEBUG: convergence value = 0.000034
bob.learn.em@2018-06-10 04:32:01,001 -- DEBUG: Iteration = 7/50
bob.learn.em@2018-06-10 04:32:01,001 -- DEBUG: log likelihood = -1.526625
bob.learn.em@2018-06-10 04:32:01,001 -- DEBUG: convergence value = 0.000014
bob.learn.em@2018-06-10 04:32:01,001 -- DEBUG: Iteration = 8/50
bob.learn.em@2018-06-10 04:32:01,001 -- DEBUG: log likelihood = -1.526617
bob.learn.em@2018-06-10 04:32:01,001 -- DEBUG: convergence value = 0.000006
bob.learn.em@2018-06-10 04:32:01,001 -- DEBUG: Iteration = 9/50
bob.learn.em@2018-06-10 04:32:01,001 -- DEBUG: log likelihood = -1.526613
bob.learn.em@2018-06-10 04:32:01,001 -- DEBUG: convergence value = 0.000002
bob.learn.em@2018-06-10 04:32:01,001 -- DEBUG: Iteration = 10/50
bob.learn.em@2018-06-10 04:32:01,001 -- DEBUG: log likelihood = -1.526612
bob.learn.em@2018-06-10 04:32:01,002 -- DEBUG: convergence value = 0.000001
bob.learn.em@2018-06-10 04:32:01,002 -- DEBUG: Iteration = 11/50
bob.learn.em@2018-06-10 04:32:01,002 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:01,002 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:01,002 -- DEBUG: Iteration = 12/50
bob.learn.em@2018-06-10 04:32:01,002 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:01,002 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:01,002 -- DEBUG: Iteration = 13/50
bob.learn.em@2018-06-10 04:32:01,002 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:01,002 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:01,002 -- DEBUG: Iteration = 14/50
bob.learn.em@2018-06-10 04:32:01,002 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:01,002 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:01,002 -- DEBUG: Iteration = 15/50
bob.learn.em@2018-06-10 04:32:01,002 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:01,002 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:01,002 -- DEBUG: Iteration = 16/50
bob.learn.em@2018-06-10 04:32:01,003 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:01,003 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:01,003 -- DEBUG: Iteration = 17/50
bob.learn.em@2018-06-10 04:32:01,003 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:01,003 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:01,003 -- DEBUG: Iteration = 18/50
bob.learn.em@2018-06-10 04:32:01,003 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:01,003 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:01,003 -- DEBUG: Iteration = 19/50
bob.learn.em@2018-06-10 04:32:01,003 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:01,003 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:01,003 -- DEBUG: Iteration = 20/50
bob.learn.em@2018-06-10 04:32:01,003 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:01,003 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:01,003 -- DEBUG: Iteration = 21/50
bob.learn.em@2018-06-10 04:32:01,003 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:01,003 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:01,003 -- DEBUG: Iteration = 22/50
bob.learn.em@2018-06-10 04:32:01,004 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:01,004 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:01,004 -- DEBUG: Iteration = 23/50
bob.learn.em@2018-06-10 04:32:01,004 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:01,004 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:01,004 -- DEBUG: Iteration = 24/50
bob.learn.em@2018-06-10 04:32:01,004 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:01,004 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:01,004 -- DEBUG: Iteration = 25/50
bob.learn.em@2018-06-10 04:32:01,004 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:01,004 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:01,004 -- DEBUG: Iteration = 26/50
bob.learn.em@2018-06-10 04:32:01,004 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:01,004 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:01,004 -- DEBUG: Iteration = 27/50
bob.learn.em@2018-06-10 04:32:01,004 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:01,004 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:01,005 -- DEBUG: Iteration = 28/50
bob.learn.em@2018-06-10 04:32:01,005 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:01,005 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:01,005 -- DEBUG: Iteration = 29/50
bob.learn.em@2018-06-10 04:32:01,005 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:01,005 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:01,005 -- DEBUG: Iteration = 30/50
bob.learn.em@2018-06-10 04:32:01,005 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:01,005 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:01,005 -- DEBUG: Iteration = 31/50
bob.learn.em@2018-06-10 04:32:01,005 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:01,005 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:01,005 -- DEBUG: Iteration = 32/50
bob.learn.em@2018-06-10 04:32:01,005 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:01,005 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:01,005 -- DEBUG: Iteration = 33/50
bob.learn.em@2018-06-10 04:32:01,006 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:01,006 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:01,006 -- DEBUG: Iteration = 34/50
bob.learn.em@2018-06-10 04:32:01,006 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:01,006 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:01,006 -- DEBUG: Iteration = 35/50
bob.learn.em@2018-06-10 04:32:01,006 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:01,006 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:01,006 -- DEBUG: Iteration = 36/50
bob.learn.em@2018-06-10 04:32:01,006 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:01,006 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:01,006 -- DEBUG: Iteration = 37/50
bob.learn.em@2018-06-10 04:32:01,006 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:01,006 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:01,006 -- DEBUG: Iteration = 38/50
bob.learn.em@2018-06-10 04:32:01,006 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:01,006 -- DEBUG: convergence value = 0.000000
bob.learn.em@2018-06-10 04:32:01,006 -- DEBUG: Iteration = 39/50
bob.learn.em@2018-06-10 04:32:01,007 -- DEBUG: log likelihood = -1.526611
bob.learn.em@2018-06-10 04:32:01,007 -- DEBUG: convergence value = 0.000000
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/lib/python3.6/site-packages/matplotlib/axes/_axes.py:6462: UserWarning: The 'normed' kwarg is deprecated, and has been replaced by the 'density' kwarg.
  warnings.warn("The 'normed' kwarg is deprecated, and has been "
doc/bob.ap/doc/guide.rst:34: WARNING: duplicate citation Davis1980, other instance in doc/bob.ap/README.rst
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doc/bob.db.biosecure/README.rst:24: WARNING: Unknown target name: "biosecure".
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doc/bob.db.verafinger/doc/references.rst:10: WARNING: duplicate citation TVM14, other instance in doc/bob.bio.vein/doc/references.rst
WARNING: doc/bob.extension/bob/extension/examples/bob.example.extension/doc/index.rst:15: (WARNING/2) autodoc: failed to import module 'bob.example.extension'; the following exception was raised:
Traceback (most recent call last):
  File "/lib/python3.6/site-packages/sphinx/ext/autodoc.py", line 657, in import_object
    __import__(self.modname)
ModuleNotFoundError: No module named 'bob.example'
WARNING: doc/bob.extension/bob/extension/examples/bob.example.library/doc/index.rst:15: (WARNING/2) autodoc: failed to import module 'bob.example.library'; the following exception was raised:
Traceback (most recent call last):
  File "/lib/python3.6/site-packages/sphinx/ext/autodoc.py", line 657, in import_object
    __import__(self.modname)
ModuleNotFoundError: No module named 'bob.example'
WARNING: doc/bob.extension/bob/extension/examples/bob.example.project/doc/index.rst:15: (WARNING/2) autodoc: failed to import module 'bob.example.project'; the following exception was raised:
Traceback (most recent call last):
  File "/lib/python3.6/site-packages/sphinx/ext/autodoc.py", line 657, in import_object
    __import__(self.modname)
ModuleNotFoundError: No module named 'bob.example'
doc/bob.ip.facedetect/doc/index.rst:43: WARNING: duplicate citation Atanasoaei2012, other instance in doc/bob.ip.base/doc/index.rst
doc/bob.ip.optflow.hornschunck/README.rst:22: WARNING: Unknown target name: "horn & schunck".
/lib/python3.6/site-packages/bob/measure/plot.py:docstring of bob.measure.plot.detection_identification_curve:14: WARNING: duplicate citation LiJain2005, other instance in doc/bob.db.atnt/doc/index.rst
doc/bob.pad.base/doc/experiments.rst:43: WARNING: duplicate label running_part_1, other instance in doc/bob.bio.base/doc/experiments.rst
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/lib/python3.6/site-packages/bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.Algorithm:0: WARNING: duplicate object description of bob.pad.base.algorithm.Algorithm, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
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/lib/python3.6/site-packages/bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.Algorithm.read_feature:0: WARNING: duplicate object description of bob.pad.base.algorithm.Algorithm.read_feature, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
/lib/python3.6/site-packages/bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.Algorithm.read_toscore_object:0: WARNING: duplicate object description of bob.pad.base.algorithm.Algorithm.read_toscore_object, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
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/lib/python3.6/site-packages/bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.Algorithm.train_projector:0: WARNING: duplicate object description of bob.pad.base.algorithm.Algorithm.train_projector, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
/lib/python3.6/site-packages/bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.Algorithm.write_feature:0: WARNING: duplicate object description of bob.pad.base.algorithm.Algorithm.write_feature, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
/lib/python3.6/site-packages/bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.LogRegr:0: WARNING: duplicate object description of bob.pad.base.algorithm.LogRegr, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
/lib/python3.6/site-packages/bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.LogRegr.load_lr_machine_and_mean_std:0: WARNING: duplicate object description of bob.pad.base.algorithm.LogRegr.load_lr_machine_and_mean_std, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
/lib/python3.6/site-packages/bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.LogRegr.load_projector:0: WARNING: duplicate object description of bob.pad.base.algorithm.LogRegr.load_projector, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
/lib/python3.6/site-packages/bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.LogRegr.project:0: WARNING: duplicate object description of bob.pad.base.algorithm.LogRegr.project, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
/lib/python3.6/site-packages/bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.LogRegr.save_lr_machine_and_mean_std:0: WARNING: duplicate object description of bob.pad.base.algorithm.LogRegr.save_lr_machine_and_mean_std, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
/lib/python3.6/site-packages/bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.LogRegr.score:0: WARNING: duplicate object description of bob.pad.base.algorithm.LogRegr.score, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
/lib/python3.6/site-packages/bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.LogRegr.subsample_train_videos:0: WARNING: duplicate object description of bob.pad.base.algorithm.LogRegr.subsample_train_videos, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
/lib/python3.6/site-packages/bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.LogRegr.train_lr:0: WARNING: duplicate object description of bob.pad.base.algorithm.LogRegr.train_lr, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
/lib/python3.6/site-packages/bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.LogRegr.train_projector:0: WARNING: duplicate object description of bob.pad.base.algorithm.LogRegr.train_projector, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
/lib/python3.6/site-packages/bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.OneClassGMM:0: WARNING: duplicate object description of bob.pad.base.algorithm.OneClassGMM, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
/lib/python3.6/site-packages/bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.OneClassGMM.load_gmm_machine_and_mean_std:0: WARNING: duplicate object description of bob.pad.base.algorithm.OneClassGMM.load_gmm_machine_and_mean_std, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
/lib/python3.6/site-packages/bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.OneClassGMM.load_projector:0: WARNING: duplicate object description of bob.pad.base.algorithm.OneClassGMM.load_projector, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
/lib/python3.6/site-packages/bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.OneClassGMM.project:0: WARNING: duplicate object description of bob.pad.base.algorithm.OneClassGMM.project, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
/lib/python3.6/site-packages/bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.OneClassGMM.save_gmm_machine_and_mean_std:0: WARNING: duplicate object description of bob.pad.base.algorithm.OneClassGMM.save_gmm_machine_and_mean_std, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
/lib/python3.6/site-packages/bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.OneClassGMM.score:0: WARNING: duplicate object description of bob.pad.base.algorithm.OneClassGMM.score, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
/lib/python3.6/site-packages/bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.OneClassGMM.train_gmm:0: WARNING: duplicate object description of bob.pad.base.algorithm.OneClassGMM.train_gmm, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
/lib/python3.6/site-packages/bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.OneClassGMM.train_projector:0: WARNING: duplicate object description of bob.pad.base.algorithm.OneClassGMM.train_projector, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
/lib/python3.6/site-packages/bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.Predictions:0: WARNING: duplicate object description of bob.pad.base.algorithm.Predictions, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
/lib/python3.6/site-packages/bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.Predictions.score:0: WARNING: duplicate object description of bob.pad.base.algorithm.Predictions.score, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
/lib/python3.6/site-packages/bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVM:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVM, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
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/lib/python3.6/site-packages/bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVM.project:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVM.project, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
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/lib/python3.6/site-packages/bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVMCascadePCA:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVMCascadePCA, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
/lib/python3.6/site-packages/bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVMCascadePCA.combine_scores_of_svm_cascade:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVMCascadePCA.combine_scores_of_svm_cascade, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
/lib/python3.6/site-packages/bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVMCascadePCA.comp_prediction_precision:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVMCascadePCA.comp_prediction_precision, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
/lib/python3.6/site-packages/bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVMCascadePCA.get_cascade_file_names:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVMCascadePCA.get_cascade_file_names, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
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/lib/python3.6/site-packages/bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVMCascadePCA.load_projector:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVMCascadePCA.load_projector, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
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/lib/python3.6/site-packages/bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVMCascadePCA.save_cascade_of_machines:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVMCascadePCA.save_cascade_of_machines, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
/lib/python3.6/site-packages/bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVMCascadePCA.save_machine:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVMCascadePCA.save_machine, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
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/lib/python3.6/site-packages/bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVMCascadePCA.train_pca:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVMCascadePCA.train_pca, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
/lib/python3.6/site-packages/bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVMCascadePCA.train_pca_svm_cascade:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVMCascadePCA.train_pca_svm_cascade, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
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/lib/python3.6/site-packages/bob/pad/base/algorithm/__init__.py:docstring of bob.pad.base.algorithm.SVMCascadePCA.train_svm:0: WARNING: duplicate object description of bob.pad.base.algorithm.SVMCascadePCA.train_svm, other instance in doc/bob.pad.base/doc/implemented.rst, use :noindex: for one of them
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doc/bob.pad.face/doc/api.rst:73: WARNING: failed to import bob.pad.face.utils.blocks_generator
doc/bob.pad.vein/doc/references.rst:7: WARNING: duplicate citation TVM14, other instance in doc/bob.db.verafinger/doc/references.rst
looking for now-outdated files... none found
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doc/bob.extension/bob/extension/examples/bob.example.library/doc/index.rst: WARNING: document isn't included in any toctree
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/lib/python3.6/site-packages/bob/bio/base/score/load.py:docstring of bob.bio.base.score.load.split_four_column:: WARNING: more than one target found for cross-reference 'array': bob.blitz.array, gridtk.models.Job.array
/lib/python3.6/site-packages/bob/bio/base/score/load.py:docstring of bob.bio.base.score.load.split_five_column:: WARNING: more than one target found for cross-reference 'array': bob.blitz.array, gridtk.models.Job.array
/lib/python3.6/site-packages/bob/bio/base/score/load.py:docstring of bob.bio.base.score.load.load_score:: WARNING: more than one target found for cross-reference 'array': bob.blitz.array, gridtk.models.Job.array
/lib/python3.6/site-packages/bob/bio/face/annotator/__init__.py:docstring of bob.bio.face.annotator.BobIpFacedetect.annotate:: WARNING: more than one target found for cross-reference 'array': bob.blitz.array, gridtk.models.Job.array
/lib/python3.6/site-packages/bob/bio/face/annotator/__init__.py:docstring of bob.bio.face.annotator.BobIpFlandmark.annotate:: WARNING: more than one target found for cross-reference 'array': bob.blitz.array, gridtk.models.Job.array
/lib/python3.6/site-packages/bob/bio/video/annotator/__init__.py:docstring of bob.bio.video.annotator.normalize_annotations:: WARNING: more than one target found for cross-reference 'callable': bob.bio.base.preprocessor.CallablePreprocessor.callable, bob.bio.base.extractor.CallableExtractor.callable, bob.bio.base.annotator.Callable.callable
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/lib/python3.6/site-packages/bob/measure/script/common_options.py:docstring of bob.measure.script.common_options.scores_argument:: WARNING: more than one target found for cross-reference 'callable': bob.bio.base.preprocessor.CallablePreprocessor.callable, bob.bio.base.extractor.CallableExtractor.callable, bob.bio.base.annotator.Callable.callable
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/lib/python3.6/site-packages/bob/pad/voice/algorithm/__init__.py:docstring of bob.pad.voice.algorithm.TensorflowEval.project:12: WARNING: py:meth reference target not found: read_feature
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build succeeded, 126 warnings.
    • André Anjos mentioned in issue bob.devtools#7 (closed)

      mentioned in issue bob.devtools#7 (closed)

    • Yannick DAYER closed

      closed

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