I'm trying to run the following example from keras
but I get this error:
ImportError Traceback (most recent call last) <ipython-input-58-50de27eea0f8> in <module>() 8 import numpy as np 9 import matplotlib.pyplot as plt ---> 10 from keras.models import Sequential 11 from keras.layers import Dense, LSTM 12 /usr/local/lib/python2.7/dist-packages/keras/__init__.py in <module>() 1 from __future__ import absolute_import 2 ----> 3 from . import utils 4 from . import activations 5 from . import applications /usr/local/lib/python2.7/dist-packages/keras/utils/__init__.py in <module>() 1 from __future__ import absolute_import ----> 2 from . import np_utils 3 from . import generic_utils 4 from . import data_utils 5 from . import io_utils ImportError: cannot import name np_utils
I'm using Ubuntu and I installed keras with:
sudo pip install keras
This question was already asked but there was no answer: Keras: Cannot Import Name np_utils
np_utils. to_categorical is used to convert array of labeled data(from 0 to nb_classes - 1 ) to one-hot vector.
to_categorical functionConverts a class vector (integers) to binary class matrix. E.g. for use with categorical_crossentropy . Arguments. y: Array-like with class values to be converted into a matrix (integers from 0 to num_classes - 1 ).
np_utils
is a separate package (and a keras dependency - which doesn't get install with it). Can be installed using pip:
pip install np_utils
using - Keras==2.0.6
Suggestion: For some odd (and still unknown) reasons, even after installing the import
from keras.utils.np_utils import to_categorical
didn't work - I had to restart the notebook (first restart even didn't work), and once it worked, I got stuck again for same import call (gave exception for no module named tensorflow
) - as in utils there's another import from . import conv_utils
, which required the tensorflow.
I did try installing tensorflow using pip install tensorflow gave:
Could not find a version that satisfies the requirement tensorflow (from versions: ) No matching distribution found for tensorflow
even this gist didn't work for me.
Finally, I installed Anaconda - which have all the scientific packages (numpy, scipy, scikit-learn,..) pre-installed. Installed keras:
conda install keras
Best thing was, it even installed tensorflow as its dependency.
For keras > 2.0, please use from keras.utils import to_categorical
instead.
Example of usage will be to_categorical(y, num_classes=None)
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