h2o_feaSelect: Feature Selection using H2O Random Forest
In woobe/deepr: deepr: Steamlining Deep Learning Procedures in R (Prototype)
Description
Usage
Arguments
Examples
Description
Feature Selection using H2O Random Forest
Usage
1
2
3
h2o_feaSelect(x_train, y_train, type = "classification", n_fold = 5,
n_repeat = 3, n_tree = 100, n_size = c(10:15), n_seed = 1234,
n_threads = -1, plot_graph = TRUE, balance = TRUE)
Arguments
x_train
predictors
y_train
labels
Examples
1
2
## Select Best Features
h2o_feaSelect(x_train, y_train)
woobe/deepr documentation built on May 4, 2019, 9:47 a.m.
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.
Description Usage Arguments Examples
Description
Feature Selection using H2O Random Forest
Usage
1 2 3 | h2o_feaSelect(x_train, y_train, type = "classification", n_fold = 5,
n_repeat = 3, n_tree = 100, n_size = c(10:15), n_seed = 1234,
n_threads = -1, plot_graph = TRUE, balance = TRUE)
|
Arguments
x_train |
predictors |
y_train |
labels |
Examples
1 2 | ## Select Best Features
h2o_feaSelect(x_train, y_train)
|
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.