Compute weighted gram matrix.
h2o.computeGram(
X,
weights = "",
use_all_factor_levels = FALSE,
standardize = TRUE,
skip_missing = FALSE
)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