Compute weighted gram matrix.
h2o.computeGram( X, weights = "", use_all_factor_levels = FALSE, standardize = TRUE, skip_missing = FALSE )
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 dataskip_missing
: logical flag telling h2o whether skip rows with missing data or impute them with mean