Advanced Options tab

Ignore constant fields

Check this check box to skip fields that have the same value for each record, since no information can be gained from them. This option is checked by default.

PCA Method
Specify the algorithm to use for computing the principal components:
  • GLRM—Fits a generalized low-rank model with L2 loss function and no regularization; solves for the SVD using local matrix algebra.
  • GramSVD—Uses a distributed computation of the Gram matrix, followed by a local SVD using the JAMA package. This is the default method.
  • Power—Computes the SVD using the power iteration method.
  • Randomized—Uses the randomized subspace iteration method.
Maximum iteration

Specifies the number of training iterations. The value must be between 1 and 1e6 and the default is 1000.