📄 var_str.h
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int train_n ; /* number to train on <100> */ char infile[100] ;/* weights from (instead of default) <-> */ int init_rule ; /* how to init wts <1> */ int train ; /* whether to train <0> */ int read ; /* whether to read wts <0> */ int report ; /* reporting style <1> */ int verbose ; /* verbosity 0/1/2 <1> */ int train_n ; /* training number <100> */ long int wseed ; /* weight randomization <2489> */ long int trseed ; /* defines training set <4896> */ long int teseed ; /* test set <126999> */ int writeit ; /* undefined <0> */ double def_w ; /* default initial weight <1.0> */ double def_b ; /* default initial bias <0.0> */ double sigma_w0 ; /* initial random wts <0.3> */ int regularize ; /* to regularize <1> */ int itmax ; /* max no line searches <100> */ double tolmin ; /* final tolerance in training <0.00001> */ double tol0 ; /* initial tolerance in training <0.1> */ int rich ; /* expensive optimizer? <0> */ int end_on_step ; /* termination condition is that step is small <1> */ double epsilon ; /* epsilon for check gradient <0.0001> */ int evalH ; /* evaluate hard performance measures <1> */ int write ; /* <1> */ int RC ; /* no of reg classes <2> */ double tolf ; /* <0.5> */ double tol ; /* tolerance in training <0.01> */ double alpha[1] ; /* regularization of bias <0.000001> */ double alpha[2] ; /* regularization of inps <10.0> */
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