predict-idlab/powershap

Issues

• ValueError: setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimensions. The detected shape was (339,) + inhomogeneous part

  #46 opened 6 months ago by jeremyhermann
  4

• Support pandas 2.0

  #39 opened 5 months ago by almostintuitive
  3

• Support Python 3.11

  #36 opened 5 months ago by arestifo
  2

• AttributeError: module 'numpy' has no attribute 'bool'.

  #50 opened 5 months ago by apavlo89
  1

• Support python 3.10+

  #47 opened 5 months ago by jonasvdd
  2

• Add *kwargs to pass extra parameter to LGBMModel fit

  #45 opened a year ago by antoniocastelli1
  0

• All relevant feature or minimal set feature selection?

  #44 opened a year ago by rictoo
  1

• Consider using FastTreeSHAP?

  #41 opened a year ago by almostintuitive
  1

• Is it possible to pass a sklearn Pipeline as model to `powershap`?

  #33 opened 2 years ago by eduardokapp
  6

• Training from file

  #35 opened a year ago by d1bevz
  1

• Pandas version restraints

  #32 opened 2 years ago by eduardokapp
  4

• Add link to license in readme

  #31 opened 2 years ago by darigovresearch
  2

• Missing XGBoost support

  #28 opened 2 years ago by mattharrison
  3

• Release with numpy >=1.21

  #21 opened 2 years ago by deepandas11
  4

• PyPI brownout for `sklearn` in favor of `scikit-learn`

  #26 opened 2 years ago by deepandas11
  2

• Support for categorical columns

  #25 opened 2 years ago by saikiran1201
  1

• Failed to reach convergence

  #24 opened 2 years ago by najeeb9522
  1

• Error when handling categoricals with LightGBM

  #23 opened 2 years ago by deepandas11
  2

• Can't Pickle

  #19 opened 2 years ago by jmrichardson
  2

• Custom CV

  #14 opened 2 years ago by jmrichardson
  1

• The cv argument in `fit` is ignored

  #9 opened 2 years ago by jvdd
  1