initial commit
dQnew
bold driver learning rate in SPSA
test function
state per iteration stored in dict
single run plots of iter state
SPSA_rprop_minus
SPSA iRprop
SPSA gradient signs for each delta permutation
split algs into separate files
viz gradient sign for various evals
SPSA Rprop with gradient smoothing looks good
adding log file to spsa rprop
read from log
need to init from log
initializes from log
append to log
constraints applied to L1 and L2 too
added Gold * Gnew < 0 test when decreasing step