title: how to resolve this ValueError: only 2 non-keyword arguments accepted sklearn python
body: <p>hello i am new to sklearn in python and iam trying to learn it and use this module to predict some numbers based on two features here is the error i am getting:  </p>
  
  <blockquote>
    <p>ValueError: only 2 non-keyword arguments accepted</p>
  </blockquote>
  
  <p>and here is my code:</p>
  
  <pre><code>    from sklearn.linear_model import LinearRegression
      import numpy as np
  
      trainingData = np.array([[861, 16012018], [860, 12012018], [859, 9012018], [858, 5012018], [857, 2012018], [856, 29122017], [855, 26122017], [854, 22122017], [853, 19122017]])
      trainingScores = np.array([11,18,23,33,34,6],[10,19,21,33,34,1], [14,18,22,23,31,6],[16,22,29,31,33,10],[21,24,27,30,31,6],[1,14,15,20,27,7],[1,9,10,11,15,8],[2,9,27,31,35,1],[7,13,18,22,33,2])
  
      clf = LinearRegression(fit_intercept=True)
      clf.fit(trainingScores,trainingData)
  
     predictionData = np.array([862, 19012018 ])
     x=clf.predict(predictionData)
     print(x)
  </code></pre>