Project each archetype in an H2O GLRM model into the corresponding feature space from the H2O training frame.

h2o.proj_archetypes(object, data, reverse_transform = FALSE)

## Arguments

object An H2ODimReductionModel object that represents the model containing archetypes to be projected. An H2OFrame object representing the training data for the H2O GLRM model. (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.

## Value

Returns an H2OFrame object containing the projection of the archetypes down into the original feature space, where each row is one archetype.

h2o.glrm for making an H2ODimReductionModel.

## 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)
# }