Learning from Black-Box Models by Maximum Interpretation
Decomposition
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Documentation for package ‘midr’ version 0.5.0
Help Pages
| augmented | Weighted Data Frames |
| autoplot.mid | Plot MID with ggplot2 Package |
| autoplot.mid.breakdown | Plot MID Breakdown with ggplot2 Package |
| autoplot.mid.conditional | Plot ICE of MID Model with ggplot2 Package |
| autoplot.mid.importance | Plot MID Importance with ggplot2 Package |
| color.theme | Color Themes for Graphics |
| factor.encoder | Encoder for Qualitative Variables |
| factor.frame | Encoder for Qualitative Variables |
| formula.mid | Extract Components from MID Models |
| 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 with ggplot2 Package |
| ggmid.mid | Plot MID with ggplot2 Package |
| ggmid.mid.breakdown | Plot MID Breakdown with ggplot2 Package |
| ggmid.mid.conditional | Plot ICE of MID Model with ggplot2 Package |
| ggmid.mid.importance | Plot MID Importance with ggplot2 Package |
| interpret | Fit MID Models |
| interpret.default | Fit MID Models |
| interpret.formula | Fit MID Models |
| latticized | Weighted Data Frames |
| mid.breakdown | Calculate MID Breakdown |
| mid.conditional | Calculate ICE of MID Models |
| mid.encoding.scheme | Extract Components from MID Models |
| mid.extract | Extract Components from MID Models |
| mid.f | Predict Method for fitted MID Models |
| mid.frames | Extract Components from MID Models |
| mid.importance | Calculate MID Importance |
| mid.plots | Plot Multiple MID Component Functions |
| mid.terms | Extract Components from MID Models |
| model.frame.mid | Extract Components from MID Models |
| numeric.encoder | Encoder for Quantitative Variables |
| numeric.frame | Encoder for Quantitative Variables |
| par.midr | Theme for ggplot Objects |
| plot.color.theme | Color Themes for Graphics |
| plot.mid | Plot MID with graphics Package |
| plot.mid.breakdown | Plot MID Breakdown with graphics Package |
| plot.mid.conditional | Plot ICE of MID Model with graphics Package |
| plot.mid.importance | Plot MID Importance with graphics Package |
| predict.mid | Predict Method for fitted MID Models |
| print.color.theme | Color Themes for Graphics |
| print.encoder | Encoder for Quantitative Variables |
| print.mid | Print MID Models |
| print.mid.breakdown | Calculate MID Breakdown |
| print.mid.conditional | Calculate ICE of MID Models |
| print.mid.importance | Calculate MID Importance |
| scale_color_theme | Color Scales for ggplot2 Graphics based on Color Themes |
| scale_colour_theme | Color Scales for ggplot2 Graphics based on Color Themes |
| scale_fill_theme | Color Scales for ggplot2 Graphics based on Color Themes |
| shapviz.mid | Calculate SHAP of MID Predictions |
| shuffled | Weighted Data Frames |
| summary.mid | Summarize MID Models |
| terms.mid | Extract Components from MID Models |
| terms.mid.importance | Extract Components from MID Models |
| theme_midr | Theme for ggplot Objects |
| weighted | Weighted Data Frames |
| weighted.mae | Weighted Loss Functions |
| weighted.medae | Weighted Loss Functions |
| weighted.mse | Weighted Loss Functions |
| weighted.quantile | Weighted Sample Quantile |
| weighted.rmse | Weighted Loss Functions |
| weighted.tabulate | Weighted Tabulation for Vectors |
| weights.weighted | Weighted Data Frames |