mojo_file_path: Filesystem path to the model imported
model_id: Model ID, default is NULL
Returns
Returns H2O Generic Model based on given embedded model
Examples
## Not run:# Import default Iris dataset as H2O framedata <- as.h2o(iris)# Train a very simple GBM modelfeatures <- c("Sepal.Length","Sepal.Length","Sepal.Width","Petal.Length","Petal.Width")original_model <- h2o.gbm(x = features, y ="Species", training_frame = data)# Download the trained GBM model as MOJO (temporary directory used in this example)mojo_original_name <- h2o.download_mojo(model = original_model, path = tempdir())mojo_original_path <- paste0(tempdir(),"/", mojo_original_name)# Import the MOJO as Generic modelgeneric_model <- h2o.genericModel(mojo_original_path)# Perform scoring with the generic modelgeneric_model_predictions <- h2o.predict(generic_model, data)## End(Not run)