Btukfyl

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