Comments (3)
maksymiuks
commented on June 18, 2024
1
Hi @juliasilge
First of all thanks for your appreciation of our work :)
Honestly, I was thinking about it before and I'm glad you've opened this issue prompting me to rethink this design. Over they years this package has evolved and I agree that keeping reticulate as a hard dependency does not have much sense nowadays. Therefore I'll be happy to make this change. Will ping you once it it done :)
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maksymiuks
commented on June 18, 2024
Hi @juliasilge
It took a while but DALEXtra version with reticulate moved to suggests has been pushed to CRAN last night alongside some refactor :) Let me know if I can help you with anything else!
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juliasilge
commented on June 18, 2024
This is such great news @maksymiuks! 🙌 Thank you so much for working on this; it will make deploying explainers for tidymodels much easier. I'll let you know if we run into any other challenges along these lines.
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Related Issues (20)
- How to use predict_function_target_column in explain_xgboost function? HOT 6
- DALEXtra with textual data HOT 3
- feature-level data for tidymodels workflows HOT 15
- add classification type detection to `explain_xgboost` HOT 2
- Which data (training/testing) should be used to build the explainer? HOT 2
- Support for `stacks` HOT 13
- Error when using `mlr3::Autotuner`. HOT 1
- features from tidymodels workflow being included that have been updated via update_role HOT 1
- Check / auto-convert type of `explain_mlr3` input HOT 3
- model_profile throws error when explaining some columns HOT 1
- Fix predict_surrogate (LIME)
- add macOS tests to our gh-actions CI
- Release DALEXtra v2.2.0 to CRAN
- Interpreting model_parts() plot from DALEX or DALEXtra package HOT 2
- S3 methods vs dedicated functions for explain HOT 2
- explain_mlr3 issues: NA in residual in for explain HOT 6
- Variable importance plot lists only original variables, not one-hot-encoded variables, when permutation importance calculated with `model_parts()` and `explain_tidymodels()` functions? HOT 1
- H2O multiclass error HOT 2
- H2O multiclass : Error in contribution[nrow(contribution), ] <- cumulative[nrow(contribution), : incorrect number of subscripts on matrix HOT 3
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