Module Expr Str ImportFrom alias alias alias Import alias identifier Import alias Import alias FunctionDef arguments args NameParam defaults body FunctionDef arguments args defaults vararg kwarg body Assign NameStore Call AttributeLoad NameLoad attr TryFinally body Expr Call AttributeLoad NameLoad attr Assign NameStore Call NameLoad NameLoad NameLoad Expr Call AttributeLoad NameLoad attr Return NameLoad finalbody Expr Call AttributeLoad NameLoad attr decorator_list Return NameLoad decorator_list FunctionDef arguments args defaults vararg kwarg body Assign AttributeStore NameLoad attr ListLoad Str NameLoad NameLoad Expr Str Return Call AttributeLoad NameLoad attr decorator_list FunctionDef arguments args NameParam defaults body Assign TupleStore NameStore NameStore NameStore NameStore NameLoad Assign NameStore BinOpAdd BinOpAdd Call NameLoad NameLoad Str Call NameLoad NameLoad Assign NameStore Call NameLoad keyword NameLoad keyword NameLoad keyword NameLoad keyword NameLoad Expr Call AttributeLoad NameLoad attr Delete NameDel Assign NameStore Call NameLoad keyword NameLoad keyword NameLoad keyword NameLoad Assign NameStore Call AttributeLoad NameLoad attr Assign NameStore BinOpSub Num NameLoad Print Str NameLoad Delete NameDel Return Dict Str NameLoad decorator_list NameLoad Assign NameStore ListLoad Call AttributeLoad NameLoad attr Str Num Num Call AttributeLoad NameLoad attr Str Num Num Call AttributeLoad NameLoad attr Str Num Num Call AttributeLoad NameLoad attr Str Num Num Assign NameStore Call NameLoad NameLoad NameLoad keyword AttributeLoad NameLoad attr keyword Num Print NameLoad
N/A N/A 
Profiling sim to find ways to quicken run time
references: 
https://zapier.com/engineering/profiling-python-boss/
http://java2s.com/Code/Python/Class/Classdestructordel.htm
 hyperopt fmin tpe hp N/A gupta_paper_further_formulas snnrl N/A sys N/A cProfile do_cprofile N/A N/A func N/A N/A profiled_func N/A N/A N/A args kwargs N/A N/A profile N/A N/A cProfile Profile N/A N/A N/A N/A N/A profile enable N/A result N/A func args kwargs N/A N/A N/A profile disable N/A result N/A N/A N/A N/A profile print_stats N/A N/A profiled_func N/A snnrlWithParams N/A N/A N/A args kwargs N/A N/A N/A sys argv N/A snnrl.py args kwargs N/A gupta_paper()
    accuracyPerc = run_gupta_paper.run_model() N/A N/A N/A snnrl gupta_paper N/A objective N/A N/A args N/A N/A N/A N/A minRand maxRand posReinfVal negReinfVal args N/A randVal N/A N/A N/A str minRand - N/A str maxRand N/A trainModel N/A snnrlWithParams evaluateClassifier False randomization randVal posReinf posReinfVal negReinf negReinfVal N/A N/A N/A trainModel run_model N/A trainModel N/A testModel N/A snnrlWithParams evaluateClassifier True posReinf posReinfVal negReinf negReinfVal N/A origAccPerc N/A N/A testModel run_model N/A accuracyPerc N/A 1 origAccPerc N/A 
accPer:	 accuracyPerc N/A testModel N/A N/A loss accuracyPerc N/A do_cprofile N/A space N/A N/A N/A hp uniform minRand 0.6 0.7 N/A N/A hp uniform maxRand 0.9 0.9 N/A N/A hp uniform posReinfVal 1.0 5.0 N/A N/A hp uniform negReinfVal 1.0 5.0 N/A best N/A fmin objective space algo N/A tpe suggest max_evals 3 N/A best