Description Usage Arguments Value Examples

Kernels are meant to be used as an argument to individual_surrogate_model function. Other custom functions can be used. Such functions take two vectors and return a single number.

1 | ```
identity_kernel(explained_instance, simulated_instance)
``` |

`explained_instance` |
explained instance |

`simulated_instance` |
new observation |

numeric

1 2 3 4 5 6 7 8 9 10 11 12 13 14 | ```
library(DALEX)
library(randomForest)
library(localModel)
data('apartments')
mrf <- randomForest(m2.price ~., data = apartments, ntree = 50)
explainer <- explain(model = mrf,
data = apartments[, -1])
model_lok <- individual_surrogate_model(explainer, apartments[5, -1],
size = 500, seed = 17,
kernel = identity_kernel)
# In this case each simulated observation has equal weight
# when explanation model (LASSO) is fitted.
model_lok
plot(model_lok)
``` |

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