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. |
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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 |