search

MLBazaar / MLPrimitives

Primitives for machine learning and data science.
https://mlbazaar.github.io/MLPrimitives
MIT License
70 stars 38 forks source link

Issue 196 improve categorical encoder feature detection #202

Closed csala closed 4 years ago

csala commented 4 years ago

Resolve #196

Improve CategoricalEncoder feature detection. Also curate some docstrings and add unit tests.

codecov-io commented 4 years ago

Codecov Report

:exclamation: No coverage uploaded for pull request base (master@d16b154). Click here to learn what that means. The diff coverage is 58.06%.

Impacted file tree graph

@@           Coverage Diff            @@
##             master    #202   +/-   ##
========================================
  Coverage          ?   40.3%           
========================================
  Files             ?      25           
  Lines             ?    1357           
  Branches          ?       0           
========================================
  Hits              ?     547           
  Misses            ?     810           
  Partials          ?       0
Impacted Files Coverage Δ
mlprimitives/custom/timeseries_preprocessing.py 97.46% <ø> (ø)
mlprimitives/custom/timeseries_anomalies.py 95.41% <ø> (ø)
mlprimitives/custom/feature_extraction.py 54.33% <58.06%> (ø)

Continue to review full report at Codecov.

Legend - Click here to learn more Δ = absolute <relative> (impact), ø = not affected, ? = missing data Powered by Codecov. Last update d16b154...7c246b3. Read the comment docs.