A virtual class for feature representations
The fraction of the number of singular vectors (m \times k with k = (min(n, m) - 1) *
DESIGN_MATRIX_FACTORIZATION_RANK_FRACTION_D) to keep after having applied Singular Value Decomposition (SVD). A value of
1.0 implies not to apply SVD. Sensible values are in the interval (0, 1].
Either 'boolean' for boolean scores or 'Pr' for probability estimates.
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