fit_jian_ann: Fit models from Jian et al. paper
In jinshijian/UrbanKfs: UrbanKFS modeling project

Description Usage Arguments Value Author(s)

fit_jian_ann fits an artificial neural network, and fit_jian_rf fits a random forest model (with or without top_type included).

1
2
3

fit_jian_ann(data, use_rock = FALSE, verbose = FALSE)

fit_jian_rf(data, use_rock = FALSE, top_type = FALSE)

`data`	Input data for fit.
`use_rock`	Logical. If `TRUE`, include the `Percent_Rock_Fragment` as a predictor.
`verbose`	Logical. If `TRUE`, print the number of attempts.
`top_type`	Logical. If `TRUE`, include the `Top_Type` as a predictor in the Random Forest model.

For fit_jian_ann, the output of neuralnet::neuralnet(), but with the special class attribute urbankfs_ann (so we can define our own predict S3 method). For fit_jian_rf, the output of randomForest::randomForest().

Alexey Shiklomanov

jinshijian/UrbanKfs documentation built on Jan. 9, 2021, 9:54 a.m.