def testSmall(self):
starttime = time.time()
m = model.Model("SG/train")
m.train()
traintime = time.time()
print("Trained in {}s".format(traintime - starttime))
readfile = "testdata/small_test"
# Emission dataframe from part 2
em_df = part2helper.GetEmissionDataFrame(m, 1)
# 1st order transition dataframe from part 3
tr_df = part3.GetTransitionDataFrame(m)
dftime = time.time()
print("DF generated in {}s".format(dftime - traintime))
# part 3 tagging
viterbi.TagWithViterbi(
_out="testdata/output.txt",
_file=readfile,
_model=m,
_emission_df=em_df,
_transition_df=tr_df)
endtime = time.time()
print("Tagged in {}s".format(endtime - dftime))
def testPart4WithTestdata(self):
m = model.Model("SG/train")
m.train()
readfile = "testdata/small_test"
# Emission dataframe from part 2
em_df = part2helper.GetEmissionDataFrame(m, 1)
# 1st order transition dataframe from part 3
tr_df = part3.GetTransitionDataFrame(m)
# 2nd order transition dataframe from part 4
tr_2_df = part4.GetTransitionDataFrame(m)
# print(tr_2_df)
# quit()
# part 4 tagging
viterbi.TagWithViterbi(
_out="testdata/part4_out.txt",
_file=readfile,
_model=m,
_emission_df=em_df,
_transition_df=tr_df,
_2nd_order_df=tr_2_df,
)
def testEmission(self):
m = model.Model('SG/train')
m.train()
df = part2helper.GetEmissionDataFrame(m)
print('emission prob:\n\n', df.loc['not'])
tr_df = part3.GetTransitionDataFrame(m)
print('transition prob:\n\n', tr_df)
def testPart3WithTestdata(self):
m = model.Model("SG/train")
m.train()
readfile = "testdata/small_test"
# Emission dataframe from part 2
em_df = part2helper.GetEmissionDataFrame(m, 1)
# 1st order transition dataframe from part 3
tr_df = part3.GetTransitionDataFrame(m)
viterbi.TagWithViterbi(
_out="testdata/part3_out.txt",
_file=readfile,
_model=m,
_emission_df=em_df,
_transition_df=tr_df,
)
def testAll(self):
m = model.Model("EN/train")
m.train()
readfile = "testdata/small_test"
# Emission dataframe from part 2
em_df = part2helper.GetEmissionDataFrame(m, 1)
# 1st order transition dataframe from part 3
tr_df = part3.GetTransitionDataFrame(m)
# 2nd order transition dataframe from part 4
tr_2_df = part4.GetTransitionDataFrame(m)
# part 2 tagging
part2helper.TagTweets(_out='testdata/part2_out.txt',
_emission_df=em_df,
_file=readfile)
# part 3 tagging
print("part 3:\n")
viterbi.TagWithViterbi(
_out="testdata/part3_out.txt",
_file=readfile,
_model=m,
_emission_df=em_df,
_transition_df=tr_df,
)
print("part 4:\n")
# part 4 tagging
viterbi.TagWithViterbi(
_out="testdata/part4_out.txt",
_file=readfile,
_model=m,
_emission_df=em_df,
_transition_df=tr_df,
_2nd_order_df=tr_2_df,
)
for lang in languages:
print("Starting language {}".format(lang))
starttime = time.time()
m = Model(lang + "/train")
m.train()
traintime = time.time()
print("Finished training {} in {}s".format(lang, starttime-traintime))
# Emission dataframe from part 2
em_df = part2helper.GetEmissionDataFrame(m, 1)
part2time = time.time()
print("Finished part2 df in {}s".format(part2time - traintime))
# 1st order transition dataframe from part 3
tr_df = part3.GetTransitionDataFrame(m)
part3time = time.time()
print("Finished part3 df in {}s".format(part3time - part2time))
# 2nd order HMM transition dataframe from part 4
tr_2nd_order = part4.GetTransitionDataFrame(m)
part4time = time.time()
print("Finished part4 df in {}s".format(part4time - part3time))
print(" ---- ---- ---- \n")
readfile = lang + "/dev.in"
# part 2 tagging
def testSmoothedEmission(self):
m = model.Model('SG/train')
m.train()
df = part3.GetTransitionDataFrame(m)
print(df)
def testDataFrame(self):
m = model.Model('SG/train')
m.train()
tr_df = part3.GetTransitionDataFrame(m)
print('transition prob:\n\n', tr_df)
