Description Usage Arguments Examples
This function makes predictions from new data using a trained H2O4GPU model and returns class predictions for classification and predicted values for regression.
1 2 |
object |
The h2o4gpu model object |
x |
The new data where each column represents a different predictor variable to be used in generating predictions. |
type |
One of "raw" or "prob", indicating the type of output: predicted values or probabilities |
... |
Additional arguments (unused for now). |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | ## Not run:
library(h2o4gpu)
# Setup dataset
x <- iris[1:4]
y <- as.integer(iris$Species) - 1
# Initialize and train the classifier
model <- h2o4gpu.random_forest_classifier() %>% fit(x, y)
# Make predictions
predictions <- model %>% predict(x)
## End(Not run)
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