Make Predictions using Trained H2O4GPU Estimator
This function makes predictions from new data using a trained H2O4GPU model and returns class predictions for classification and predicted values for regression.
## S3 method for class 'h2o4gpu_model' predict(object, x, type = "raw", ...)
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). |
## 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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