Class "Optimizer"
pGLM object
wcoefficient matrix
w_prevcoefficient matrix of last iteration
ggradient matrix
g_prevgradient matrix of last iteration
fobjective function value
f_prevobjective function value of last iteration
ddirection coefficient matrix
directiondirection methods; character c("gradient", "newton", "stochastic gradient")
stepsizestepsize methods; character c("wolfe", "backtrack")
maxitermaximum iteration; default = 100
iteriteration number
wtolcoefficient criteria for stop iteration
gtolgradient tolerance
ftolfunction value tolerance
tstepsize
xin zhou xxz220@miami.edu
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