Learning from Black-Box Models by Maximum Interpretation
Decomposition
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Documentation for package ‘midr’ version 0.5.1
Help Pages
| autoplot.mid | Plot MID Component Functions with ggplot2 |
| autoplot.mid.breakdown | Plot MID Breakdowns with ggplot2 |
| autoplot.mid.conditional | Plot MID Conditional Expectations with ggplot2 |
| autoplot.mid.importance | Plot MID Importance with ggplot2 |
| color.theme | Color Themes for Graphics |
| color.theme.env | Retrieve Color Theme Information |
| color.theme.info | Retrieve Color Theme Information |
| factor.encoder | Encoder for Qualitative Variables |
| factor.frame | Encoder for Qualitative Variables |
| get.yhat | Wrapper Prediction Function |
| get.yhat.AccurateGLM | Wrapper Prediction Function |
| get.yhat.default | Wrapper Prediction Function |
| get.yhat.glm | Wrapper Prediction Function |
| get.yhat.glmnet | Wrapper Prediction Function |
| get.yhat.ksvm | Wrapper Prediction Function |
| get.yhat.lm | Wrapper Prediction Function |
| get.yhat.mid | Wrapper Prediction Function |
| get.yhat.model_fit | Wrapper Prediction Function |
| get.yhat.randomForest | Wrapper Prediction Function |
| get.yhat.ranger | Wrapper Prediction Function |
| get.yhat.rpart | Wrapper Prediction Function |
| get.yhat.rpf | Wrapper Prediction Function |
| get.yhat.svm | Wrapper Prediction Function |
| ggmid | Plot MID Component Functions with ggplot2 |
| ggmid.mid | Plot MID Component Functions with ggplot2 |
| ggmid.mid.breakdown | Plot MID Breakdowns with ggplot2 |
| ggmid.mid.conditional | Plot MID Conditional Expectations with ggplot2 |
| ggmid.mid.importance | Plot MID Importance with ggplot2 |
| interpret | Fit MID Models |
| interpret.default | Fit MID Models |
| interpret.formula | Fit MID Models |
| mid.breakdown | Calculate MID Breakdowns |
| mid.conditional | Calculate MID Conditional Expectations |
| mid.effect | Evaluate Single MID Component Functions |
| mid.f | Evaluate Single MID Component Functions |
| mid.importance | Calculate MID Importance |
| mid.plots | Plot Multiple MID Component Functions |
| mid.terms | Extract Terms from MID Models |
| numeric.encoder | Encoder for Quantitative Variables |
| numeric.frame | Encoder for Quantitative Variables |
| par.midr | Default Plotting Themes |
| plot.mid | Plot MID Component Functions |
| plot.mid.breakdown | Plot MID Breakdowns |
| plot.mid.conditional | Plot MID Conditional Expectations |
| plot.mid.importance | Plot MID Importance |
| predict.mid | Predict Method for fitted MID Models |
| print.mid | Print MID Models |
| scale_color_theme | Color Theme Scales for ggplot2 Graphics |
| scale_colour_theme | Color Theme Scales for ggplot2 Graphics |
| scale_fill_theme | Color Theme Scales for ggplot2 Graphics |
| set.color.theme | Register Color Themes |
| shapviz.mid | Calculate MID-Derived Shapley Values |
| summary.mid | Summarize MID Models |
| theme_midr | Default Plotting Themes |
| weighted.loss | Weighted Loss Function |