title: TOTAL NO. of ITERATIONS REACHED LIMIT in scikit-learn
body: <p>I want to load the pose and the movement from the csv data by using pandas. But when I want to load the data, I always get this error message:</p>
  <pre><code>C:\Python\Python37\lib\site-packages\sklearn\linear_model\_logistic.py:765: ConvergenceWarning: lbfgs failed to converge (status=1):
  STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.
  
  Increase the number of iterations (max_iter) or scale the data as shown in:
      https://scikit-learn.org/stable/modules/preprocessing.html
  Please also refer to the documentation for alternative solver options:
      https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression
    extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG)
  </code></pre>
  <p>As I understand it means that the lbfgs algorithm did not converge, because the maximum number of iterations has been reached. How can I solve the problem in code? I am new in python and scikit so am a little lost as to what I can do to improve it.</p>