navdeep-G/interpretable-ml
Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
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Issues
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Organize README
#33 opened by navdeep-G - 1
Add more examples for simulated data
#35 opened by navdeep-G - 0
Add DIA for simulated data
#39 opened by navdeep-G - 0
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Add LIME for simulated data
#37 opened by navdeep-G - 0
Add DT surrogate for simulated data
#36 opened by navdeep-G - 0
Add notebooks that showcase debugging ML models
#34 opened by navdeep-G - 0
Add AIR to DIA notebook
#30 opened by navdeep-G - 1
Use datatable in DIA notebook
#28 opened by navdeep-G - 0
Comparative Charts
#17 opened by pramitchoudhary - 0
Cross validation plot
#21 opened by pramitchoudhary - 0
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R markdown notebooks
#7 opened by navdeep-G - 0
Regression notebooks
#8 opened by navdeep-G - 3
Tentative Outline
#13 opened by jphall663 - 0
Clean up notebooks
#25 opened by navdeep-G - 0
Disparate Impact Analysis
#27 opened by navdeep-G - 0
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Add 2-way Partial plots
#20 opened by pramitchoudhary - 0
Correlation matrix
#19 opened by pramitchoudhary - 0
ROC plots
#16 opened by pramitchoudhary - 0
Confusion Matrix plot
#15 opened by pramitchoudhary - 0
Add more use cases
#11 opened by navdeep-G - 0
Organize README
#6 opened by navdeep-G - 0
Add pdf of tex file
#3 opened by navdeep-G - 0
Add decision tree surrogate notebook
#5 opened by navdeep-G - 5
Add multinomial version of credit card notebook (monotonic XGBoost, PDP, ICE, & Shapley)
#4 opened by navdeep-G - 0
Add R examples
#2 opened by navdeep-G - 0
Add Python examples
#1 opened by navdeep-G