ranti-iitg
commented
9 years ago pip freeze dump
-registry-path==1.0 appinst==2.1.2 apptools==4.2.1 backports.ssl-match-hostname==3.2a3 BeautifulSoup==3.2.1 beautifulsoup4==4.3.2 Canopy==1.5.1.dev7367 canopydebugger==0.1.1.dev0 canopydebugger-addon==0.1.1.dev0 casuarius==1.1 chaco==4.5.0 cloud==2.4.6 configobj==5.0.6 coverage==3.7.1 Cython==0.22 decorator==3.4.0 docopt==0.6.2 docutils==0.12 enable==4.4.1 enaml==0.9.8 enclosure==0.2 encore==0.6.0 enstaller==4.8.1 envisage==4.4.0 esky==0.9.8.dev0 etsproxy==0.1.2 Examples==7.3 faulthandler==2.3 feedparser==5.1.3 futures==2.2.0 gdbn==0.1 gensim==0.8.3 gnumpy==0.2 grits-client==0.1 html5lib==0.999 idle==2.7.3 ipython==3.0.0 Jinja2==2.7.3 joblib==0.8.4 jsonpickle==0.4.0 jsonschema==2.4.0 kernmagic==0.2.0 keyring==4.0 libpython==1.3.0 lxml==3.4.2 MarkupSafe==0.23 matplotlib==1.4.3 mechanize==0.2.5 mingw==4.8.1 mistune==0.5 MKL==10.3 mock==1.0.1 nltk==3.0.1 nolearn==0.4 nose==1.3.4 numpy==1.8.1 pandas==0.15.2 -e passage==0.2.4 pbr==0.10.7 PIL==1.1.7 ply==3.4 psutil==2.1.1 ptvs==2.0.0 pyaudio==0.2.4 pycrypto==2.6.1 pyface==4.4.0 pyflakes==0.4.5.dev80 pyglet==1.1.4 Pygments==2.0.2 -e pylearn2==0.1.dev0 pyparsing==2.0.3 pyreadline==2.0.0 Pyro4==4.11 PySide==1.2.2 python-dateutil==2.2.0 PythonDoc==2.7.3 pytz==2014.9.0 pywin32==219.0.0 PyYAML==3.11 pyzmq==14.5.0 requests==2.5.3 scikit-learn==0.15.2 scikits.learn==0.8 scipy==0.15.1 six==1.9.0 SQLAlchemy==0.9.8 sqlalchemy-migrate==0.9.4 sqlparse==0.1.14 ssl-match-hostname==3.4.0.2 supplement===0.5dev.dev202 sympy==0.7.6 Tempita==0.5.2 textblob==0.9.0 Theano==0.6.0 tornado==4.1 traits==4.5.0 traitsui==4.4.0 wxPython==2.8.10.1
Hi, getting this error.
Traceback (most recent call last): File "dummy.py", line 15, in
model = RNN(layers=layers, cost='BinaryCrossEntropy')
File "c:\users\user1\documents\github\passage\passage\models.py", line 44, in init
self.y_tr = self.layers[-1].output(dropout_active=True)
File "c:\users\user1\documents\github\passage\passage\layers.py", line 275, in output
X = self.l_in.output(dropout_active=dropout_active)
File "c:\users\user1\documents\github\passage\passage\layers.py", line 239, in output
outputs_info=[repeat(self.h0, x_h.shape[1], axis=0)],
File "C:\Users\user1\AppData\Local\Enthought\Canopy\User\lib\site-packages\theano\tensor\extra_ops.py", line 360, in repeat
return RepeatOp(axis=axis)(x, repeats)
File "C:\Users\user1\AppData\Local\Enthought\Canopy\User\lib\site-packages\theano\gof\op.py", line 399, in call
node = self.make_node(_inputs, *_kwargs)
File "C:\Users\user1\AppData\Local\Enthought\Canopy\User\lib\site-packages\theano\tensor\extra_ops.py", line 259, in make_node
% numpy_unsupported_dtypes), repeats.dtype)
TypeError: not all arguments converted during string formatting
Contents of file dummy.py
from passage.preprocessing import Tokenizer from passage.layers import Embedding, GatedRecurrent, Dense from passage.models import RNN from passage.utils import save, load train_text= ['hello world', 'foo bar'] train_labels= [0, 1] tokenizer = Tokenizer() train_tokens = tokenizer.fit_transform(train_text)
layers = [ Embedding(size=128, n_features=tokenizer.n_features), GatedRecurrent(size=128), Dense(size=1, activation='sigmoid') ]
model = RNN(layers=layers, cost='BinaryCrossEntropy') model.fit(train_tokens, train_labels)
model.predict(tokenizer.transform(test_text)) save(model, 'save_test.pkl') model = load('save_test.pkl')