nomogram_shaps3: Nomogram SHAP values using categorical predictors and...
In rmlnomogram: Construct Explainable Nomogram for a Machine Learning Model
nomogram_shaps3 R Documentation
Nomogram SHAP values using categorical predictors and numerical outcome
Description
An example of a data frame for feature_exp argument in
create_nomogram function, must only include feature
explainability value per sample (i.e., SHAP value), where one column is
available for each feature.
Usage
nomogram_shaps3
Format
A data frame with 16 rows and 4 columns:
- cyl.6
A predictor with SHAP values.
- cyl.8
A predictor with SHAP values.
- qsec.1
A predictor with SHAP values.
- vs.1
A predictor with SHAP values.
Source
Computed by iml from a caret randomforest model using categorical
predictors for examples in this package.
rmlnomogram documentation built on April 4, 2025, 5:45 a.m.
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| nomogram_shaps3 | R Documentation |
Nomogram SHAP values using categorical predictors and numerical outcome
Description
An example of a data frame for feature_exp argument in
create_nomogram function, must only include feature
explainability value per sample (i.e., SHAP value), where one column is
available for each feature.
Usage
nomogram_shaps3
Format
A data frame with 16 rows and 4 columns:
- cyl.6
A predictor with SHAP values.
- cyl.8
A predictor with SHAP values.
- qsec.1
A predictor with SHAP values.
- vs.1
A predictor with SHAP values.
Source
Computed by iml from a caret randomforest model using categorical predictors for examples in this package.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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