Compute weighted gram matrix.

Source: R/glm.R

Compute weighted gram matrix.

h2o.computeGram(
  X,
  weights = "",
  use_all_factor_levels = FALSE,
  standardize = TRUE,
  skip_missing = FALSE
)

Arguments

X

an H2OModel corresponding to H2O framel.
weights

character corresponding to name of weight vector in frame.
use_all_factor_levels

logical flag telling h2o whether or not to skip first level of categorical variables during one-hot encoding.
standardize

logical flag telling h2o whether or not to standardize data
skip_missing

logical flag telling h2o whether skip rows with missing data or impute them with mean