$ cat gram/3.pcfg S: A B ; A: "a" "b" "c" | "d" "c" "b" "a" ; B: "e" | "f" "e" ; $ ./pcfg-generate-seq -i1 -n2000 -o seq/3-2k.seq gram/3.pcfg $ ../scripts/mk-rg-vit.sh 6 6 2 >gram/3.rg
$ ./topdown -i1 -n5000 --det-niter-goal=50 --od=td-learn/3_det.rg \ --oo=td-learn/3.log gram/3.rg seq/3-2k.seq
$ ./topdown -i1 -n5000 --od=td-learn/3_out.rg --op=td-learn/3_out.pcfg \ --oo=- --simplify td-learn/3_det.rg seq/3-2k.seq Iteration 1: P: prob_gram 0.40992566, prob_term 0.56725727, prob_wpredict 0.79502085, prob_npredict 0.78240000, cycle_period 61 T: prob_gram 0.40992566, prob_term 0.56725727, prob_wpredict 0.79502085, prob_npredict 0.78240000, cycle_period 61 Finished. $ cat td-learn/3_out.rg S: "a" . . | "b" | "c" . . | "e" . . . . | "f" . . . . . | "d" . . . ( [ "a" "d" ] | [ "b" "c" "e" ] | "f" . ) ; $ cat td-learn/3_out.pcfg
S: "f" "e" "d" "c" "b" "a" [0.12712713] // 127 0.80250568 | "a" "b" "c" [0.15915916] // 159 0.55241081 | "e" "d" "c" "b" "a" [0.19719720] // 197 0.49884307 | "e" "a" "b" "c" "f" [0.11411411] // 114 0.17593122 | "f" "e" "a" "b" "c" "e" [0.06006006] // 60 0.14745296 | "e" "a" "b" "c" "e" [0.09909910] // 99 0.10209655 | "f" "e" "a" "b" "c" "f" [0.05205205] // 52 0.09883227 | "d" "c" "b" "a" L2_1 [0.19119119] // 191 ; // 999
L2_1: "e" [0.54210526] // 103 0.55160321 | "f" "e" [0.45789474] // 87 0.52205497 ; // 190 $ ./topdown -i-1 -n5000 --os=seq/3_random.seq --oo=- gram/3.rg seq/3-2k.seq [0]: prob_gram 0.09174307, prob_term 0.11068237, prob_wpredict 0.53279974, prob_npredict 0.40400000, cycle_period 993 prob_epredict 0.40400000 $ ./topdown -i1 -n5000 --os=seq/3_predict.seq --oo=- td-learn/3_out.rg seq/3-2k.seq [0]: prob_gram 0.40992566, prob_term 0.56725727, prob_wpredict 0.79502085, prob_npredict 0.78240000, cycle_period 61 prob_epredict 0.78240000 $ ./pcfg-predict-eval --prob-rand=0.40400000 gram/3.pcfg seq/3_predict.seq { "seq_len" : 5000, "wpredict_max" : 4001.50000000, "npredict_actual" : 3912, "wpredict_rand" : 2020.0, "prob_wpredict_max" : 0.80030000, "prob_npredict_actual" : 0.78240000, "prob_npredict_rand" : 0.40400000, "efficiency_rand, %" : 95.5 }