Configuring Advanced Options
- Leave Ignore constant fields checked to skip fields that have the same value for each record.
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Select a PCA method from the dropdown list. Note that
GLRM and Power are currently experimental.
- GLRM
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Fits a generalized low-rank model with L2 loss function and no regularization; solves for the SVD using local matrix algebra. This option is enabled only if you checked Use all factor level on the Basic Options tab.
- GramSVD
- Uses a distributed computation of the Gram matrix, followed by a local SVD using the JAMA package.
- Power
- Computes the SVD using the power iteration method.
- Randomized
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Uses the randomized subspace iteration method.
- Leave Maximum iterations unchecked to have an unlimited number of training iterations (default). Check the box and enter a number to limit the amount of training iterations.
- Click OK to save the model and configuration or continue to the next tab.