Python get_human_sets Examples

Example #1

def main():
	for phrase in cf.phrases:
		basename = "../training/"+phrase.replace(" ","_")
		humangood = basename+".manual_good"
		allfile = basename+".pickedclaims"
		if os.path.exists(humangood):
			(good,bad,all) = a.get_human_sets(humangood,allfile)		
			precision = float(len(good))/len(all)
			print phrase,"&",str(int(100*precision)) +"\%"

Example #2

def get_training_data(phrases):
    human_marked = []
    for phrase in phrases:
        basename = "../training/" + phrase.replace(" ", "_")
        humangood = basename + ".manual_good"
        allfile = basename + ".pickedclaims"
        if os.path.exists(humangood):
            (good, bad, all) = a.get_human_sets(humangood, allfile)
            for claim in good:
                human_marked.append((claim, True))
            for claim in bad:
                human_marked.append((claim, False))
    random.shuffle(human_marked)
    return human_marked

Example #3

File: classify_good.py Project: BenTrem/think-link

def get_training_data(phrases):
    human_marked = []
    for phrase in phrases:
        basename = "../training/" + phrase.replace(" ", "_")
        humangood = basename + ".manual_good"
        allfile = basename + ".pickedclaims"
        if os.path.exists(humangood):
            (good, bad, all) = a.get_human_sets(humangood, allfile)
            for claim in good:
                human_marked.append((claim, True))
            for claim in bad:
                human_marked.append((claim, False))
    random.shuffle(human_marked)
    return human_marked