title: DeprecationWarning in sklearn MiniBatchKMeans
body: <pre><code>vectors = model.syn0
  
  n_clusters_kmeans = 20 # more for visualization 100 better for clustering
  
  min_kmeans = MiniBatchKMeans(init='k-means++', n_clusters=n_clusters_kmeans, n_init=10)
  min_kmeans.fit(vectors)
  
  X_reduced = TruncatedSVD(n_components=50,  random_state=0).fit_transform(vectors)
  X_embedded = TSNE(n_components=2, perplexity=40, verbose=2).fit_transform(X_reduced)
  
  fig = plt.figure(figsize=(10, 10))
  ax = plt.axes(frameon=False)
  plt.setp(ax, xticks=(), yticks=())
  plt.subplots_adjust(left=0.0, bottom=0.0, right=1.0, top=0.9,     wspace=0.0, hspace=0.0)
  plt.scatter(X_embedded[:, 0], X_embedded[:, 1], c=None, marker="x")
  plt.show()
  </code></pre>
  
  <p>I want to plot vectors. I am using sklearn.cluster MiniBatchKMeans. 
  Above code is giving me following deprecation error: </p>
  
  <blockquote>
    <p>/usr/local/lib/python3.5/site-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 99 + 1) instead
      0, n_samples - 1, self.batch_size) </p>
  </blockquote>
  
  <p>Any suggestions are appreciated.
  Thanks </p>