Add ClusterSeries to Hero Series Types #170
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suport MultiIndex as function parameter returns MultiIndex, where Representation was returned * missing: correct test Co-authored-by: Henri Froese <hf2000510@gmail.com>
*missing: test adopting for new types Co-authored-by: Henri Froese <hf2000510@gmail.com>
- add functionality for decorator @InputSeries to handle several allowed input types - Add typing decorator/hints to representation.py - add tests for _types DocumentTermDF Co-authored-by: Maximilian Krahn <maximilian.krahn@icloud.com>
Co-authored-by: Maximilian Krahn <maximilian.krahn@icloud.com>
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Note: Black (our formatter) just rolled out V20.8b1 3 days ago. This creates errors with our ./tests.sh in preprocessing because of whitespace. Will investigate this further but atm we set the black version in EDIT: found the issue, see the issue opened at Black here |
This was referenced Aug 29, 2020
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Merged master branch into this one, so it is ready for review/to be merged 🦂 🐼 |
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We have noticed that with topic modelling etc. coming up, we get more and more use out of the clustering functions. It thus makes sense to introduce a
HeroSeriestypeClusterSeriesthrough this PR.A ClusterSeries has dtype "category" and every entry is a cluster-ID (e.g. 5 or "topic 1"). For example,
pd.Series([0, 3, 0, 1], dtype="category")is a valid ClusterSeries.NOTE: only so many commits/lines as this builds on #157