h2o.relevel_by_frequency: Reorders levels of factor columns by the frequencies for the...

In h2o: R Interface for the 'H2O' Scalable Machine Learning Platform

Reorders levels of factor columns by the frequencies for the individual levels.

Description

The levels of a factor are reordered so that the most frequency level is at level 0, remaining levels are ordered from the second most frequent to the least frequent.

Usage

h2o.relevel_by_frequency(x, weights_column = NULL, top_n = -1)

Arguments

x	H2O frame with some factor columns
weights_column	optional name of weights column
top_n	optional number of most frequent levels to move to the top (eg.: for top_n=1 move only the most frequent level)

Value

new reordered frame

Examples

## Not run: 
library(h2o)
h2o.init()

# Convert iris dataset to an H2OFrame
iris_hf <- as.h2o(iris)
# Look at current ordering of the Species column levels
h2o.levels(iris_hf["Species"])
# "setosa"     "versicolor" "virginica" 
# Change the reference level to "virginica"
iris_hf["Species"] <- h2o.relevel_by_frequency(x = iris_hf["Species"])
# Observe new ordering
h2o.levels(iris_hf["Species"])
# "virginica"  "versicolor" "setosa"

## End(Not run)

h2o documentation built on Aug. 9, 2023, 9:06 a.m.