View source: R/h2otools_grid_CV.R
It does a grid search for shrinkage.
Check h2o.cv.rnd.opt.param
for a parameter optimization that can work with different algorithms and differents parameters to optimize.
1 2 3 4 5 6 7 | h2o.cv.rnd.grid.shrinkage(dataset.h2o, listVars, split.perc = 0.6,
model_algorithm = h2o.gbm, nfolds = 10, seq_shrinkage = c(0, seq(from =
0.002, to = 0.008, by = 0.002), seq(from = 0.01, to = 0.2, by = 0.05)),
model_params = list(shrinkage = 0.1, n.trees = 30, interaction.depth = 5,
n.bins = 50, n.minobsinnode = 1000, distribution = "bernoulli", importance =
FALSE, balance.classes = TRUE), gain.calculate = TRUE, gain.ngroups = 100,
col.pred = 3, col.target = tail(h2o::colnames(dataset.h2o), n = 1))
|
h2o.cv.rnd.grid.shrinkage
h2o.cv.rnd.opt.param
h2o.cv.rnd.opt.param.get_best
h2o.ggplot.dfResultsCV
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