Spark SVD

This node utilizes the Apache Spark Singular value decomposition (SVD) implementation.

Options

Number of leading singular values

The number of leading singular values to keep (0 < k <= n). It might return less than k if there are numerically zero singular values or there are not enough Ritz values converged before the maximum number of Arnoldi update iterations is reached (in case that matrix A is ill-conditioned).

Reciprocal condition number

The reciprocal condition number (rCond). All singular values smaller than rCond * sigma(0) are treated as zero, where sigma(0) is the largest singular value.

Compute U matrix

Select this option to compute the U matrix (left singular vectors).

Feature Columns

The feature columns to use during computation. Supports only numeric columns.

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