from marker import Marker import random learn=Marker() learn.load() x={"speed":0,"sentenceSpeed":0} i=0 while i<10: x["speed"]=random.random()*5+3 x["sentenceSpeed"]=random.random()*3/15 i+=1 y0,y1=learn.cal_score(x) print (str(x["speed"])+"word/s : score"+str(y0*100)) print (str(x["sentenceSpeed"])+"space/s : score"+str(y1*100))
import os path = os.path.join(os.path.dirname(__file__), "./datatest2.txt") from marker import Marker mark = Marker() mark.load() with open("learningData.txt") as f: line = f.readline() # skip header line = f.readline() i = 0 x1 = [] x2 = [] y = [] while line: word = line.split('\t') print([float(word[0]), float(word[1])]) x1.append([float(word[1])]) x2.append([float(word[2])]) y.append(float(word[0])) #x1.append([float(word[0])]) #x2.append([float(word[1])]) #y.append(i%2.0) # good and bud presents alternately line = f.readline() i += 1 store_keys = ["x1", "calculate_x1", "x1", "y", "x2", "calculate_x2", "x2", "y"] with open(path, "wb") as outfile: line = "\t".join([str(v) for v in store_keys]) outfile.write(line.encode("utf-8")) j = 0