reg_tune | R Documentation |
Regression Tune
reg_tune(base_model, folds = 10)
base_model |
base model for tuning |
folds |
number of folds for cross-validation |
a reg_tune
object.
# preparing dataset for random sampling
data(Boston)
sr <- sample_random()
sr <- train_test(sr, Boston)
train <- sr$train
test <- sr$test
# hyper parameter setup
tune <- reg_tune(reg_mlp("medv"))
ranges <- list(size=c(3), decay=c(0.1,0.5))
# hyper parameter optimization
model <- fit(tune, train, ranges)
test_prediction <- predict(model, test)
test_predictand <- test[,"medv"]
test_eval <- evaluate(model, test_predictand, test_prediction)
test_eval$metrics
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.