title: Learning curves with train/test data in sci-kit instead of cross validation
body: <p>I have a my training and testing data separate (from different CSV loaded into different pandas dataframe) and I want to plot the learning curve with this training and testing data instead of training and test data generated from training set itself using cross validation (which seems to be the usual way learning_curve works).</p>
  
  <p>It seems like scikit expects your testing and training data to be present in the same Dataframe, but this way the classifier would learn the test data as well which is not what I want.</p>
  
  <p>How can I go about solving this problem ? I am new to sci-kit.</p>