| sklearner {ngboostForecast} | R Documentation |
Scikit-Learn interface
Description
Scikit-Learn interface
Usage
sklearner(module = "tree", class = "DecisionTreeRegressor", ...)
Arguments
module |
scikit-learn module name, default is 'tree'. |
class |
scikit-learn's module class, default is 'DecisionTreeRegressor' |
... |
Other arguments passed to model class |
Author(s)
Resul Akay
Examples
## Not run:
sklearner(module = "tree", class = "DecisionTreeRegressor",
criterion="friedman_mse", min_samples_split=2)
## End(Not run)
[Package ngboostForecast version 0.1.1 Index]