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Add skip_interpret argument #69

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pplonski opened this issue Apr 23, 2020 · 2 comments
Closed

Add skip_interpret argument #69

pplonski opened this issue Apr 23, 2020 · 2 comments
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@aplonska
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enhancement New feature or request
Projects
mljar-supervised
Milestone
version 0.3.0

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@pplonski
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It will be nice to have skip_interpret argument in AutoML constructor. It can speed-up model tuning, if we care only about performance. This parameter should be set to False by default.
@pplonski pplonski added the enhancement New feature or request label Apr 23, 2020
@pplonski pplonski added this to the version 0.3.0 milestone Apr 23, 2020
@pplonski pplonski added this to To do in mljar-supervised Apr 23, 2020
@pplonski pplonski pinned this issue Apr 29, 2020
@pplonski
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pplonski commented May 4, 2020 •
edited

I think I will add explain_level parameter.

  • explain_level = 0 means no explanations
  • explain_level = 1 means produce importance plot (with permutation method), for decision trees produce tree plots, for linear models save coefficients
  • explain_level = 2 the same as for 1 plus SHAP explanations

The default will set to 2

@pplonski pplonski mentioned this issue May 4, 2020
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@pplonski pplonski moved this from To do to In progress in mljar-supervised May 5, 2020
pplonski added a commit that referenced this issue May 5, 2020
@pplonski
add explain level argument (#69)
875f195
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pplonski commented May 5, 2020

Done! 3 new tests added :)

@pplonski pplonski closed this as completed May 5, 2020
@pplonski pplonski unpinned this issue May 5, 2020
@pplonski pplonski moved this from In progress to Done in mljar-supervised Jun 2, 2020
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enhancement New feature or request
Projects
mljar-supervised
  
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Milestone
version 0.3.0
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@pplonski @aplonska