fit.h2o4gpu_model: Train an H2O4GPU Estimator

In h2o4gpu: Interface to 'H2O4GPU'

Description

This function builds the model using the training data specified.

Usage

## S3 method for class 'h2o4gpu_model'
fit(object, x, y = NULL, ...)

Arguments

object	The h2o4gpu model object
x	The training data where each column represents a different predictor variable to be used in building the model.
y	A vector of numeric values to be used as response variable in building the model. Note that if the vector is character or factor, it will be converted to numeric column (e.g. 0, 1, 2, ...) implicitly. For unsupervised models, this argument can be ignored or specified as NULL.
...	Additional arguments (unused for now).

Examples

## Not run: 

library(h2o4gpu)

# Setup dataset
x <- iris[1:4]
y <- as.integer(iris$Species) - 1

# Train the classifier
h2o4gpu.random_forest_classifier() %>% fit(x, y)

## End(Not run)

h2o4gpu documentation built on May 18, 2021, 1:07 a.m.