title: MLPClassifier on time series data
body: <p>How do I use an MLPClassifier in scikit-learn on timeseries data? </p>
  
  <p>I have data currently in a list called a[] </p>
  
  <p>How do I use a training mechanism to train the data in this list? It is a list that lists daily closing price of a certain equity over a period of several years.</p>
  
  <p>Thanks for your help, I am still a novice in data science programming.</p>
  
  <p>Can anyone please explain to me how this classifier works, whether I should use MLPClassification or MLPRegression in scikit-learn to predict the price of an equity. What exactly does the classifier do and what the different activation functions represent? </p>
  
  <p>My data looks like this:</p>
  
  <p>[25.45, 25.68, 25.69, 26.00, 25.70, ... etc] </p>
  
  <p>These are the daily stock prices over a period of years for a stock. How could I use this data to predict the future of where the stock price will be? For example if I have 17 years worth of past data, how can I determine the next 6 months?</p>