Use a trained CuML model to make predictions on new data points.
Notice calling cuml_predict() will be identical to calling the
predict() S3 generic, except for cuml_predict() also comes
with proper documentation on all possible predict options (such as
output_class_probabilities) and will emit a sensible warning message
when a predict option is not applicable for a given model.
cuml_predict(model, x, output_class_probabilities = NULL, ...)A trained CuML model.
A matrix or dataframe containing new data points.
Whether to output class probabilities.
NOTE: setting output_class_probabilities to TRUE is only
valid when the model being applied is a classification model and supports
class probabilities output. CuML classification models supporting class
probabilities include knn, fil, and rand_forest.
A warning message will be emitted if output_class_probabilities
is set to TRUE or FALSE but the model being applied does
not support class probabilities output.
Additional arguments to predict(). Currently unused.
Predictions on new data points.