Comments (3)
we went for 1 fake obs = 1 variable changed which was fine for low p,
perhaps we need to vary the number of changed variables according to the p/n ratio by default and let the user decide how many variables should be changed for each simulated observation if it's not enough
this is more of a comment for the last commit (same label for all fake obs), no idea yet for the second problem, because regularization won't work with forest plot
from live.
Interesting,
this requires some more advanced studies.
Good for a grant proposal ;-)
from live.
closing, because no progress will be made in nearest future
noted as an idea for grant proposal
from live.
Related Issues (20)
- update wine vignette
- Assertion on 'choices' failed. Must be of length >= 1, but has length 0 HOT 2
- add optional kernel HOT 1
- Select and plot top features (by contribution) HOT 2
- Change order of arguments
- Add "Value" section to documentation HOT 1
- improve unit tests
- implement sampler class
- implement gaussian sampling
- "Vectorized" explained_instance argument
- Plots for multiple models (black/white box) / instances on a single panel
- new vignette
- reproducibility
- Conditional permutations
- Integration with DALEX
- scaling in kernels
- object 'satisfaction_level' not found HOT 2
- live::local_approximation results with a bug HOT 4
- live won't work with single predictor models
- Transfer live from MI2DataLab to ModelOriented HOT 8
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from live.