h2o.proj_archetypes: Convert Archetypes to Features from H2O GLRM Model

In h2o: R Interface for the 'H2O' Scalable Machine Learning Platform

Convert Archetypes to Features from H2O GLRM Model

Description

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

Usage

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

## 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)

h2o documentation built on May 29, 2024, 4:26 a.m.