random_forest_regressor: Learner for training random forests for regression problems
In iai: Interface to 'Interpretable AI' Modules
random_forest_regressor R Documentation
Learner for training random forests for regression problems
Description
Julia Equivalent:
IAI.RandomForestRegressor
Usage
random_forest_regressor(...)
Arguments
...
Use keyword arguments to set parameters on the resulting learner.
Refer to the Julia documentation for available parameters.
IAI Compatibility
Requires IAI version 2.1 or higher.
Examples
## Not run: lnr <- iai::random_forest_regressor()
iai documentation built on July 9, 2023, 5:41 p.m.
R Package Documentation
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| random_forest_regressor | R Documentation |
Learner for training random forests for regression problems
Description
Julia Equivalent:
IAI.RandomForestRegressor
Usage
random_forest_regressor(...)
Arguments
... |
Use keyword arguments to set parameters on the resulting learner. Refer to the Julia documentation for available parameters. |
IAI Compatibility
Requires IAI version 2.1 or higher.
Examples
## Not run: lnr <- iai::random_forest_regressor()
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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