AutoxgbResult: Result of an autoxgboost call.
In ja-thomas/autoxgboostMC: Automatic Preprocessing, Fitting and Tuning for xgboost using multiple criteria.
Description
Result of autoxgboost. A R6 class containing the following elements:
- optim_result [
MBOSingleObjResult] Optimization result object. See: MBOSingleObjResult
- final_learner [
Learner] Xgboost learner with best found hyper paramater configuration.
- final_model [
WrappedModel | NULL] If build.final.model=TRUE in autoxgboost a mlr model build by the full dataset and final.learner.
- measures [
Measure] Measure used for optimization.
And the following functions:
- .$predict(newdata)
- .$get_tune_results()
- .$plot_pareto_front()
Usage
1
Format
An object of class R6ClassGenerator of length 24.
ja-thomas/autoxgboostMC documentation built on May 17, 2019, 4:22 a.m.
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Description
Result of autoxgboost. A R6 class containing the following elements:
- optim_result [
MBOSingleObjResult] Optimization result object. See:
MBOSingleObjResult- final_learner [
Learner] Xgboost learner with best found hyper paramater configuration.
- final_model [
WrappedModel|NULL] If
build.final.model=TRUEinautoxgboosta mlr model build by the full dataset andfinal.learner.- measures [
Measure] Measure used for optimization.
And the following functions:
- .$predict(newdata)
- .$get_tune_results()
- .$plot_pareto_front()
Usage
1 |
Format
An object of class R6ClassGenerator of length 24.
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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