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The boostwrap package used in containers_build/boostdm/training.py that wraps a Classifier instance comes with the inconvenience of adding an additional dependency layer. There is not a big semantic difference between calling boostwrap and xgb. Moreover, boostwrap is used only once. Therefore, I propose to eliminate this dependency
The text was updated successfully, but these errors were encountered:
The
boostwrap
package used incontainers_build/boostdm/training.py
that wraps a Classifier instance comes with the inconvenience of adding an additional dependency layer. There is not a big semantic difference between callingboostwrap
andxgb
. Moreover,boostwrap
is used only once. Therefore, I propose to eliminate this dependencyThe text was updated successfully, but these errors were encountered: