diff --git a/apt/__init__.py b/apt/__init__.py index 99e5ad6..ea6178a 100644 --- a/apt/__init__.py +++ b/apt/__init__.py @@ -6,4 +6,4 @@ from apt import anonymization from apt import minimization from apt import utils -__version__ = "0.0.3" \ No newline at end of file +__version__ = "0.0.4" \ No newline at end of file diff --git a/apt/minimization/__init__.py b/apt/minimization/__init__.py index e9aa35d..10d0a57 100644 --- a/apt/minimization/__init__.py +++ b/apt/minimization/__init__.py @@ -12,8 +12,5 @@ them to new data. It is also possible to export the generalizations as feature ranges. -The current implementation supports only numeric features, so any categorical features must be transformed to a numeric -representation before using this class. - """ from apt.minimization.minimizer import GeneralizeToRepresentative diff --git a/docs/conf.py b/docs/conf.py index 0b26b58..36cdd76 100644 --- a/docs/conf.py +++ b/docs/conf.py @@ -22,7 +22,7 @@ copyright = '2021, IBM' author = 'Abigail Goldsteen' # The full version, including alpha/beta/rc tags -release = '0.0.3' +release = '0.0.4' master_doc = 'index' diff --git a/docs/source/tests.rst b/docs/source/tests.rst deleted file mode 100644 index b1428e0..0000000 --- a/docs/source/tests.rst +++ /dev/null @@ -1,30 +0,0 @@ -tests package -============= - -Submodules ----------- - -tests.test\_anonymizer module ------------------------------ - -.. automodule:: tests.test_anonymizer - :members: - :undoc-members: - :show-inheritance: - -tests.test\_minimizer module ----------------------------- - -.. automodule:: tests.test_minimizer - :members: - :undoc-members: - :show-inheritance: - - -Module contents ---------------- - -.. automodule:: tests - :members: - :undoc-members: - :show-inheritance: diff --git a/setup.cfg b/setup.cfg index f82cdb6..2e79a5f 100644 --- a/setup.cfg +++ b/setup.cfg @@ -1,7 +1,7 @@ [metadata] # replace with your username: name = ai-privacy-toolkit -version = 0.0.3 +version = 0.0.4 author = Abigail Goldsteen author_email = abigailt@il.ibm.com description = A toolkit for tools and techniques related to the privacy and compliance of AI models.