Convert Archetypes to Features from H2O GLRM Model

Source: R/glrm.R

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.
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.

Value

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

See also

h2o.glrm for making an H2ODimReductionModel.

Examples

if (FALSE) {
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)
}