High-Performance Open-Source Archive
qpmadr::solveqp() with
quadprog::solve.QP() because the {qpmadr} package was
archived on CRAN as of 2023-01-10.abclass.control().alignment to lambda
for cv.abclass() and refit in
et.abclass() if a sequence of lambda’s is specified. A
warning message would be thrown out for the former.x of class
sparseMatrix (provided by the {Matrix}
package) for abclass() and
predict.abclass().cv.abclass() and
et.abclass() for training and tuning the angle-based
classifiers with cross-validation and an efficient tuning procedure for
lasso-type algorithms, respectively. See the corresponding function
documentation for details.supclass() and cv.supclass() for
details.abclass() and moved the tuning
procedure by cross-validation to the function
cv.abclass().abclass.control().
alpha: from 0.5 to 1.0epsilon: from 1e-3 to
1e-4alignment in abclass.control().abclass.control() to specify
the control parameters and simplify the main function interface.max_iter to maxit for
abclass().abclass()
to avoid unnecessarily large returned objectslum_c for
abclass() from 0 to 1.rel_tol to epsilon
for abclass().AbclassNetlum_c in the associated header
files.
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