object: An H2ODimReductionModel object that represents the model containing archetypes to be projected.
data: An H2OFrame object representing the training data for the H2O GLRM model.
reverse_transform: (Optional) A logical value indicating whether to reverse the transformation from model-building by re-scaling columns and adding back the offset to each column of the projected archetypes.
Returns
Returns an H2OFrame object containing the projection of the archetypes down into the original feature space, where each row is one archetype.
Examples
## Not run:library(h2o)h2o.init()iris_hf <- as.h2o(iris)iris_glrm <- h2o.glrm(training_frame = iris_hf, k =4, loss ="Quadratic", multi_loss ="Categorical", max_iterations =1000)iris_parch <- h2o.proj_archetypes(iris_glrm, iris_hf)head(iris_parch)## End(Not run)