I want to predict a score for each sentence in a text. I have written this test method:
def test(sent):
# Predict for a given sentence
if sent != "":
input, seq_lengths, target = make_variables([sent], [])
output = classifier(input, seq_lengths)
pred = output.data.max(1, keepdim=True)[1]
score = pred.cpu().numpy()[0][0]
print("The sentence is:",sent, "The score is:", score)
return
print("evaluating trained model ...")
total_mse=0
for sents, scores in test_loader:
input, seq_lengths, target = make_variables(sents, scores)
output = classifier(input, seq_lengths)
pred = output.data.max(1, keepdim=True)[1]
error=mean_squared_error(pred,target.data.view_as(pred.float()))
total_mse +=error
print(" ********** Total MSE is **********",total_mse)
return
In a part of main method, I have:
# Testing
test("")
# Testing for a given sample _a sentence_
test("For instance, wolves prey on moose, which are too big for coyotes.")
But I received this error:
Error Traceback (most recent call last): File "/home/mahsa/anaconda3/envs/pytorch_env/lib/python3.5/unittest/case.py", line 59, in testPartExecutor yield File "/home/mahsa/anaconda3/envs/pytorch_env/lib/python3.5/unittest/case.py", line 601, in run testMethod() File "/home/mahsa/anaconda3/envs/pytorch_env/lib/python3.5/site-packages/nose/case.py", line 198, in runTest self.test(*self.arg) Exception: test() missing 1 required positional argument: 'sent' -------------------- >> begin captured logging << -------------------- gensim.models.doc2vec: DEBUG: Fast version of gensim.models.doc2vec is being used summa.preprocessing.cleaner: INFO: 'pattern' package not found; tag filters are not available for English gensim.utils: INFO: loading KeyedVectors object from /home/mahsa/PycharmProjects/PyTorch_env_project/Thesis/proj2/glove_saved gensim.utils: INFO: loading syn0 from /home/mahsa/PycharmProjects/PyTorch_env_project/Thesis/proj2/glove_saved.syn0.npy with mmap=None gensim.utils: INFO: setting ignored attribute syn0norm to None gensim.utils: INFO: loaded /home/mahsa/PycharmProjects/PyTorch_env_project/Thesis/proj2/glove_saved --------------------- >> end captured logging << ---------------------
E ====================================================================== ERROR: mahsa_rnn_sent_classification.test ---------------------------------------------------------------------- Traceback (most recent call last): File "/home/mahsa/anaconda3/envs/pytorch_env/lib/python3.5/site-packages/nose/case.py", line 198, in runTest self.test(*self.arg) TypeError: test() missing 1 required positional argument: 'sent' -------------------- >> begin captured logging << -------------------- gensim.models.doc2vec: DEBUG: Fast version of gensim.models.doc2vec is being used summa.preprocessing.cleaner: INFO: 'pattern' package not found; tag filters are not available for English gensim.utils: INFO: loading KeyedVectors object from /home/mahsa/PycharmProjects/PyTorch_env_project/Thesis/proj2/glove_saved gensim.utils: INFO: loading syn0 from /home/mahsa/PycharmProjects/PyTorch_env_project/Thesis/proj2/glove_saved.syn0.npy with mmap=None gensim.utils: INFO: setting ignored attribute syn0norm to None gensim.utils: INFO: loaded /home/mahsa/PycharmProjects/PyTorch_env_project/Thesis/proj2/glove_saved --------------------- >> end captured logging << ---------------------
---------------------------------------------------------------------- Ran 1 test in 0.004s
FAILED (errors=1)
I think that test() has its argument 'sent'. How can I correct this error?
Running tests with nose or unittest is not trivial, if you're new at this, I think you would have an easier time getting started with something like pytest