title: Error while importing DASK: module 'dask.array' has no attribute 'blockwise'
body: <p>I am trying to use DASK for fast computing as logistic regression aborted after 17 hours on my system.
  My data set is about 1 million rows. </p>
  
  <p>I first ran these commands:</p>
  
  <pre><code>import dask.array as da
  import dask.dataframe as dd
  from dask.distributed import Client 
  client = Client() 
  from dask.distributed import Client 
  client = Client()
  </code></pre>
  
  <p>The above commands ran but through a warning: </p>
  
  <p><strong>C:\ProgramData\Anaconda3\lib\site-packages\distributed\bokeh\core.py:57: UserWarning: 
  Port 8787 is already in use. 
  Perhaps you already have a cluster running?
  Hosting the diagnostics dashboard on a random port instead.
    warnings.warn('\n' + msg)</strong></p>
  
  <p>Then I ran these commands:</p>
  
  <pre><code>import dask_ml.joblib
  from sklearn.externals import joblib
  </code></pre>
  
  <p><strong>Error: AttributeError: module 'dask.array' has no attribute 'blockwise'</strong></p>
  
  <p>Can anyone help me with how to resolve this?</p>