pbiecek
R/predict_surrogate.R
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@@ -8,6 +8,7 @@
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| 8 | 8 | #' @param ... other parameters that will be passed to |
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| 9 | 9 | #' @param type which implementation of thee LIME method should be used. Either \code{localModel} (default), \code{lime} or \code{iml}. |
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| 10 | 10 | #' @param n_features will be passed to the lime implementation, by default 4 |
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| 11 | + | #' @param k will be passed to the iml implementation, by default 4 |
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| 11 | 12 | #' @param n_permutations will be passed to the lime implementation, by default 1000 |
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| 12 | 13 | #' @param size will be passed to the localModel implementation, by default 1000 |
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| 13 | 14 | #' @param seed seed for random number generator, by default 1313 |
@@ -83,8 +84,11 @@
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| 83 | 84 | lime::plot_features(x, ...) |
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| 84 | 85 | } |
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| 85 | 86 | ||
| 87 | + | ||
| 88 | + | #' @import iml |
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| 86 | 89 | #' @name predict_surrogate |
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| 87 | 90 | #' @export |
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| 88 | - | predict_surrogate_iml <- function(explainer, new_observation, ...) { |
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| 89 | - | ||
| 91 | + | predict_surrogate_iml <- function(explainer, new_observation, k = 4, ...) { |
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| 92 | + | iml_model <- Predictor$new(model = explainer$model, data = explainer$data[,colnames(new_observation)]) |
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| 93 | + | LocalModel$new(predictor = iml_model, x.interest = new_observation, k = k) |
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| 90 | 94 | } |
| Files | Coverage |
|---|---|
| R | 84.70% |
| Project Totals (7 files) | 84.70% |
125.1
| 1 |
comment: false |
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