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