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bob.learn.em
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26fbb5affe95fed08511a2584c10fbab0b8dcb3a
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bob_em_train
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k-means implementation and tests
Start of port of K-Means to python
[conda] remove bob-devel from test requirements [skip ci]
remove traces of libsvm
Increased latest version to 2.1.8b0 [skip ci]
Increased stable version to 2.1.7
v2.1.7
v2.1.7
Add pyproject.toml for PEP 517
[doc] turn nitpick off
[conda recipe] Add make next to cmake dependency
Sphinx 3 autodoc no longer accepts autodoc_default_flags and autodoc_default_options should be used
Merge branch 'pickle' into 'master'
[sphinx] Cleaning up documentation
v2.1.7b0
v2.1.7b0
Pickle iVectorMachine
Pickle GMMStats
Pickling KMeans
Merge branch 'dask-pipelines' into 'master'
Removed Z-T-ZT Normalization from this package
Serialized ISVMachine
Increased latest version to 2.1.7b0 [skip ci]
Increased stable version to 2.1.6
v2.1.6
v2.1.6
Updated badges section [ci skip]
Updated badges section [ci skip]
Removed dependency with bob.pipelines
Changed test function
Pickling ISV Base
Temporally add bob.pipelines as dependency [conda]
Removed unecessary module
Making GMMMachine picklable
Increased latest version to 2.1.6b0 [skip ci]
Increased stable version to 2.1.5
v2.1.5
v2.1.5
add debugging messages
bob_em_train
bob_em_train
Increased latest version to 2.1.5b0 [skip ci]
Increased stable version to 2.1.4
v2.1.4
v2.1.4
Merge branch 'issue-31' into 'master'
Fixing possible issue with numpy.ndarray.resize
Improvements to the em train script
Fix the import for the moved function
Increased latest version to 2.1.4b0 [skip ci]
Increased stable version to 2.1.3
v2.1.3
v2.1.3
Add a bob em train script which works on SGE
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