title: IndexError: only integers, slices (`:`), ellipsis (`...`), numpy.newaxis (`None`) and integer or boolean arrays are valid indices"
body: <p>I am trying to run W2V algorithm. I find index error and not sure where I am going wrong. Here's the error:</p>
  
  <blockquote>
    <p>IndexError: only integers, slices (<code>:</code>), ellipsis (<code>...</code>), numpy.newaxis (<code>None</code>) and integer or boolean arrays are valid indices</p>
  </blockquote>
  
  <p>and here's the code:</p>
  
  <pre><code>    def makeFeatureVec(words, model, num_features):
  # Function to average all of the word vectors in a given
  # paragraph
  #
  # Pre-initialize an empty numpy array (for speed)
  featureVec = np.zeros((num_features,),dtype="float32")
  #
  nwords = 0.
  # 
  # Index2word is a list that contains the names of the words in 
  # the model's vocabulary. Convert it to a set, for speed 
  index2word_set = set(model.wv.index2word)
  #
  # Loop over each word in the review and, if it is in the model's
  # vocaublary, add its feature vector to the total
  for word in words:
      if word in index2word_set: 
          nwords = nwords + 1.
          featureVec = np.add(featureVec,model[word])
  # 
  # Divide the result by the number of words to get the average
  featureVec = np.true_divide(featureVec,nwords)
  return featureVec
  
      def getAvgFeatureVecs(reviews,model,num_features):
  # Given a set of reviews (each one a list of words), calculate 
  # the average feature vector for each one and return a 2D numpy array 
  # 
  # Initialize a counter
  counter = 0.
  # 
  # Preallocate a 2D numpy array, for speed
  reviewFeatureVecs = np.zeros((len(reviews),num_features),dtype="float32")
  # 
  # Loop through the reviews
  for review in reviews:
     #
     # Print a status message every 1000th review
      if counter%1000. == 0.:
          print ("Review %d of %d" % (counter, len(reviews)))
     # 
     # Call the function (defined above) that makes average feature vectors
      reviewFeatureVecs[counter] = makeFeatureVec(review, model,num_features)
     #
     # Increment the counter
      counter = counter + 1.
  return reviewFeatureVecs
  </code></pre>
  
  <p>This piece of code is from Bag-of-Words-Meets-Bags-of-Popcorn-Kaggle. I am not sure where the error is. I thing <code>np.divide</code> is raisng an error. I am working on windows  </p>