Comments (2)
from ibreakdown.
yes, you can use named vector, like this one:
vcolors = c("-1" = "red", "1" = "blue", "X" = "black", "0" = "green")
where "-1" stands for risk-lowering, "1" for risk increasing, "0" for neutral and "X" for the final prediction
from ibreakdown.
Related Issues (20)
- Ordered water fall plots (like shapviz)
- Deprecated function as of ggplot2 3.3.0
- Differentely calculated diffs in local_attributions and local_interactions HOT 2
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- which LICENSE? HOT 1
- [shap] NA in variable_value column
- plot() incompatible with old objects HOT 1
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- More examples, and spellcheck HOT 1
- How can we apply model oriented ibreakdown to complete data set HOT 2
- Factor Variables Converted To Numeric Makes Results Less User Friendly HOT 3
- remove test dependency of `randomForest`, which requires R v4.1 to work
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