h2o.computeGram {h2o} | R Documentation |
Compute weighted gram matrix.
Description
Compute weighted gram matrix.
Usage
h2o.computeGram(
X,
weights = "",
use_all_factor_levels = FALSE,
standardize = TRUE,
skip_missing = FALSE
)
Arguments
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 data |
skip_missing |
logical flag telling h2o whether skip rows with missing data or impute them with mean |
[Package h2o version 3.44.0.3 Index]