FeatureRepresentation-class: A virtual class for feature representations
In sanmai-NL/feat: Extract (Linguistic) Structural and Surface Features from XML Documents
Description
A virtual class for feature representations
Slots
DESIGN_MATRIX_FACTORIZATION_RANK_FRACTION_DThe 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].
SCORING_STREither 'boolean' for boolean scores or 'Pr' for probability estimates.
sanmai-NL/feat documentation built on May 29, 2019, 1:47 p.m.
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Description
A virtual class for feature representations
Slots
DESIGN_MATRIX_FACTORIZATION_RANK_FRACTION_DThe 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 of1.0implies not to apply SVD. Sensible values are in the interval (0, 1].SCORING_STREither 'boolean' for boolean scores or 'Pr' for probability estimates.
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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