Simple Co-Occurrence based tabulation of X vs Y, where X and Y are two Vecs in a given dataset.
Uses histogram of given resolution in X and Y.
Handles numerical/categorical data and missing values. Supports observation weights.
h2o.tabulate(data, x, y, weights_column = NULL, nbins_x = 50, nbins_y = 50)
Arguments
- data
An H2OFrame object.
- x
predictor column
- y
response column
- weights_column
(optional) observation weights column
- nbins_x
number of bins for predictor column
- nbins_y
number of bins for response column
Value
Returns two TwoDimTables of 3 columns each
count_table: X Y counts
response_table: X meanY counts
Examples
if (FALSE) { # \dontrun{
library(h2o)
h2o.init()
df <- as.h2o(iris)
tab <- h2o.tabulate(data = df, x = "Sepal.Length", y = "Petal.Width",
weights_column = NULL, nbins_x = 10, nbins_y = 10)
plot(tab)
} # }