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