This application is meant to be an automated experiment and not an application by it self to annotated numeric columns. Nonetheless, we are planning to create an application based on this approach details will be mentioned here once we start.
pip install ttla
python data/preprocessing.py
python experiments/web_commons_v2.py detect
- Label (may take up to an hour, it needs to be connected to the internet)
python experiments/web_commons_v2.py label
- Get the kinds (offline, quick)
python experiments/web_commons_v2.py addkinds
- Show scores (offline, quick)
python experiments/web_commons_v2.py scores
sh run_tests.sh
sh run_t2dv2_tests.sh
not that some tests may fail overtime as they depend on dbpedia
sh run_cov.sh
sh run_t2dv2_cov.sh
python setup.py sdist bdist_wheel
twine upload dist/*
To contribute, please read the below to follow the same convention
- The source code related to detection of data types (e.g. categorical, continuous, ...) is located under
detect
. - while the files related to the annotation of the semantic types (e.g. height of a person) are located under
label
.