NodeH2O Generalized Low Rank Models (Missing Value Impute)

Learner

Apply a Generalized Low Rank Model (GLRM) using H2O to reconstruct missing values or identify important features in a dataset. Note that if the input data contains no missing values, the reconstructed data returned by this node will be the same as the input data.

Input ports

  1. H2O input data frame. Type: H2O Frame
    H2O Frame with input data.

Output ports

  1. H2O GLRM reconstructed data. Type: H2O Frame
    H2O Frame with the reconstructed input data.
  2. H2O GLRM X matrix. Type: H2O Frame
    H2O Frame with the GLRM X matrix. The X matrix contains k principal components of the input data.