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paris-saclay-cds / ramp-workflow

Toolkit for building predictive workflows on top of pydata (pandas, scikit-learn, pytorch, keras, etc.).
https://paris-saclay-cds.github.io/ramp-docs/
BSD 3-Clause "New" or "Revised" License
68 stars 43 forks source link

Fix typos (repeated words) #299

Closed DimitriPapadopoulos closed 2 years ago

DimitriPapadopoulos commented 2 years ago

Not sure about joined back the the → joined back to the here:

This function returns a vector of labels (cluster assignments) which is then joined back the the event id column and returned (to be passed into prediction_types.Clustering and evaluated by score_types.clustering_efficiency).

codecov[bot] commented 2 years ago

Codecov Report

Merging #299 (edf9a06) into master (4c71c23) will not change coverage. The diff coverage is n/a.

Impacted file tree graph

@@           Coverage Diff           @@
##           master     #299   +/-   ##
=======================================
  Coverage   83.15%   83.15%           
=======================================
  Files         137      137           
  Lines        4748     4748           
=======================================
  Hits         3948     3948           
  Misses        800      800
Impacted Files Coverage Δ
rampwf/hyperopt/hyperopt.py 98.64% <ø> (ø)
rampwf/score_types/brier_score.py 100.00% <ø> (ø)
rampwf/score_types/roc_auc.py 100.00% <ø> (ø)
...igits/submissions/starting_kit/batch_classifier.py 100.00% <ø> (ø)
rampwf/workflows/clusterer.py 100.00% <ø> (ø)

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