H2OGLRM

H2O GLRM

Input

It takes in a DataFrame as input

Type

transform

Class

fire.nodes.h2o.NodeH2OGlrm

Fields

Details

Generalized Low Rank Models (GLRM) is an algorithm for dimensionality reduction of a dataset. It is a general, parallelized optimization algorithm that applies to a variety of loss and regularization functions. Categorical columns are handled by expansion into 0/1 indicator columns for each level. With this approach, GLRM is useful for reconstructing missing values and identifying important features in heterogeneous data.

More details are available at : http://docs.h2o.ai/h2o/latest-stable/h2o-docs/data-science/glrm.html