René's URL Explorer Experiment


Title: moDel Agnostic Language for Exploration and eXplanation • DALEX

Open Graph Title: moDel Agnostic Language for Exploration and eXplanation

Open Graph Description: Any unverified black box model is the path to failure. Opaqueness leads to distrust. Distrust leads to ignoration. Ignoration leads to rejection. DALEX package xrays any model and helps to explore and explain its behaviour. Machine Learning (ML) models are widely used and have various applications in classification or regression. Models created with boosting, bagging, stacking or similar techniques are often used due to their high performance. But such black-box models usually lack direct interpretability. DALEX package contains various methods that help to understand the link between input variables and model output. Implemented methods help to explore the model on the level of a single instance as well as a level of the whole dataset. All model explainers are model agnostic and can be compared across different models. DALEX package is the cornerstone for DrWhy.AI universe of packages for visual model exploration. Find more details in (Biecek 2018) .

direct link

Domain: modeloriented.github.io

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Links:

DALEXhttps://modeloriented.github.io/index.html
DrWhy.AIhttps://github.com/ModelOriented/DrWhy
MI².AIhttps://mi2.ai/
Referencehttps://modeloriented.github.io/reference/index.html
Articles https://modeloriented.github.io/DALEX
How to use multilabel classification and DALEX?https://modeloriented.github.io/articles/multilabel_classification.html
Survival on the RMS Titanichttps://modeloriented.github.io/articles/vignette_titanic.html
How to use DALEX with the yardstick package?https://modeloriented.github.io/articles/vignette_yardstick.html
Changeloghttps://modeloriented.github.io/news/index.html
https://github.com/ModelOriented/DALEX/
https://modeloriented.github.io/DALEX#model-agnostic-language-for-exploration-and-explanation-
https://github.com/ModelOriented/DALEX/actions?query=workflow%3AR-CMD-check
https://codecov.io/github/ModelOriented/DALEX?branch=master
https://cran.r-project.org/package=DALEX
http://cranlogs.r-pkg.org/badges/grand-total/DALEX
http://drwhy.ai/#BackBone
https://github.com/ModelOriented/DALEX/actions?query=workflow%3APython-check
https://pypi.org/project/dalex/
https://badge.fury.io/py/dalex
https://pepy.tech/project/dalex
https://modeloriented.github.io/DALEX#overview
explain()https://modeloriented.github.io/reference/explain.html
Explanatory Model Analysishttps://pbiecek.github.io/ema/
DrWhy.AIhttp://DrWhy.AI
DALEXtrahttps://github.com/ModelOriented/DALEXtra
Additional overview of the dalex Python package is available.https://github.com/ModelOriented/DALEX/tree/master/python/dalex
https://pbiecek.github.io/ema/introduction.html#bookstructure
https://modeloriented.github.io/DALEX#installation
CRANhttps://cran.r-project.org/package=DALEX
install.packageshttps://rdrr.io/r/utils/install.packages.html
PyPIhttps://pypi.org/project/dalex/
conda-forgehttps://anaconda.org/conda-forge/dalex
https://modeloriented.github.io/DALEX#learn-more
https://github.com/ModelOriented/DALEX/raw/master/misc/cheatsheet_local_explainers.png
https://modeloriented.github.io/DALEX#resources
Gentle introduction to DALEX with examples in R and Pythonhttps://pbiecek.github.io/ema/
https://modeloriented.github.io/DALEX#r-package
Introduction to Responsible Machine Learning @ useR! 2021https://github.com/MI2DataLab/ResponsibleML-UseR2021
@ BioColl 2021https://github.com/pbiecek/BioColl2021
@ Open-Forest-Training 2021https://github.com/pbiecek/Open-Forest-Training-2021/
Materials from Explanatory Model Analysis Workshop @ eRum 2020https://github.com/pbiecek/XAIatERUM2020
cheatsheethttps://github.com/pbiecek/XAIatERUM2020/blob/master/Cheatsheet.pdf
kerashttps://rawgit.com/pbiecek/DALEX_docs/master/vignettes/DALEX_and_keras.html
parsniphttps://raw.githack.com/pbiecek/DALEX_docs/master/vignettes/DALEX_parsnip.html
carethttps://raw.githack.com/pbiecek/DALEX_docs/master/vignettes/DALEX_caret.html
mlrhttps://raw.githack.com/pbiecek/DALEX_docs/master/vignettes/DALEX_mlr.html
H2Ohttps://raw.githack.com/pbiecek/DALEX_docs/master/vignettes/DALEX_h2o.html
xgboosthttps://raw.githack.com/pbiecek/DALEX_docs/master/vignettes/DALEX_and_xgboost.html
Compare GBM models created in different languageshttps://raw.githack.com/pbiecek/DALEX_docs/master/vignettes/Multilanguages_comparision.html
DALEX for fraud detectionhttps://rawgit.com/pbiecek/DALEX_docs/master/vignettes/DALEXverse%20and%20fraud%20detection.html
DALEX for teachinghttps://raw.githack.com/pbiecek/DALEX_docs/master/vignettes/DALEX_teaching.html
XAI in the jungle of competing frameworks for machine learninghttps://medium.com/@ModelOriented/xai-in-the-jungle-of-competing-frameworks-for-machine-learning-fa6e96a99644
https://modeloriented.github.io/DALEX#python-package
Titanic: tutorial and exampleshttps://dalex.drwhy.ai/python-dalex-titanic.html
FIFA20: explain default vs tuned model with dalexhttps://dalex.drwhy.ai/python-dalex-fifa.html
xgboosthttps://dalex.drwhy.ai/python-dalex-xgboost.html
tensorflowhttps://dalex.drwhy.ai/python-dalex-tensorflow.html
residuals, shap, limehttps://dalex.drwhy.ai/python-dalex-new.html
Fairness module in dalexhttps://dalex.drwhy.ai/python-dalex-fairness.html
Arena: interactive dashboard for model explorationhttps://dalex.drwhy.ai/python-dalex-arena.html
jupyter notebookhttps://github.com/ModelOriented/DALEX-docs/tree/master/jupyter-notebooks
NEWShttps://github.com/ModelOriented/DALEX/blob/master/python/dalex/NEWS.md
https://modeloriented.github.io/DALEX#talks-about-dalex
Talk with your model! at USeR 2020https://www.youtube.com/watch?v=9WWn5ew8D8o
Talk about DALEX at Complexity Institute / NTU February 2018https://github.com/pbiecek/Talks/blob/master/2018/DALEX_at_NTU_2018.pdf
Talk about DALEX at SER / WTU April 2018https://github.com/pbiecek/Talks/blob/master/2018/SER_DALEX.pdf
Talk about DALEX at STWUR May 2018 (in Polish)https://github.com/STWUR/eRementarz-29-05-2018
Talk about DALEX at BayArea 2018https://github.com/pbiecek/Talks/blob/master/2018/DALEX_BayArea.pdf
Talk about DALEX at PyData Warsaw 2018https://github.com/pbiecek/Talks/blob/master/2018/DALEX_PyDataWarsaw2018.pdf
https://modeloriented.github.io/DALEX#citation
https://modeloriented.github.io/DALEX#cb3-1
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https://modeloriented.github.io/DALEX#why
Three Laws of Roboticshttps://en.wikipedia.org/wiki/Three_Laws_of_Robotics
Ethics of AIhttps://en.wikipedia.org/wiki/Ethics_of_artificial_intelligence
https://modeloriented.github.io/DALEX#acknowledgments
View on CRANhttps://cloud.r-project.org/package=DALEX
Browse source codehttps://github.com/ModelOriented/DALEX/
Report a bughttps://github.com/ModelOriented/DALEX/issues
Contributing guidehttps://modeloriented.github.io/CONTRIBUTING.html
Citing DALEXhttps://modeloriented.github.io/authors.html#citation
https://orcid.org/0000-0001-8423-1823
https://orcid.org/0000-0002-3120-1601
https://orcid.org/0000-0001-6661-5364
pkgdownhttps://pkgdown.r-lib.org/

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