code/060-modeling/project/06-tune-ctrl.R
In pat-s/2019-feature-selection: Research Compendium package for the publication "Monitoring forest health using hyperspectral imagery: Does feature selection improve the performance of machine-learning techniques?"
tune_ctrl_xgboost_project <- drake_plan(
tune_ctrl_xgboost = target(tune_ctrl_wrapper(1L, 20L, 30, param_set = ps_xgboost))
)
pat-s/2019-feature-selection documentation built on Dec. 24, 2021, 8:40 a.m.
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tune_ctrl_xgboost_project <- drake_plan(
tune_ctrl_xgboost = target(tune_ctrl_wrapper(1L, 20L, 30, param_set = ps_xgboost))
)
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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