title: TypeError when there's no strings in dataframes (MLPClassifier fit function)
body: <p>Working on training a model that predicts a label based on a predetermined list of labels for sentences that have been analyzed using Word2Vec.  I've got a dataframe with the vectors (each of length 300) from the default KeyedVectors dataset (wikipedia) and a separate list with the labels (from 1 to 7, one hot encoded).</p>
  <p>When I try to train the model, using model.fit(train,ratings), I get TypeError: '&lt;' not supported between instances of 'str' and 'float'.  I went value-by-value in the ratings list (all were int types) and in the train list (all float types).  Any idea why it's giving me this error?  Is it because Python is converting floats to strings?</p>
  <p>Note: I can include screenshots of the data if need be, but it's literally a dataframe of 300 columns by 111 rows of float values, both positive and negative.  The ratings list is a list of 111 integers.</p>
  <p>Thank you!</p>