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. character corresponding to name of weight vector in frame. logical flag telling h2o whether or not to skip first level of categorical variables during one-hot encoding. logical flag telling h2o whether or not to standardize data logical flag telling h2o whether skip rows with missing data or impute them with mean