title: Import sklearn2pmml generated .pmml back into ScikitLearn or Python
body: <p>Apologies if this may have been answered somewhere but I've been looking for about an hour and can't find a good answer.</p>
  
  <p>I have a simple Logistic Regression model trained in Scikit-Learn that I'm exporting to a .pmml file. </p>
  
  <pre><code>  from sklearn2pmml import PMMLPipeline, sklearn2pmml
    my_pipeline = PMMLPipeline(
    ( classifier", LogisticRegression() )
        )
    my_pipeline.fit(blah blah)
    sklearn2pmml(my_pipeline, "filename.pmml")
  </code></pre>
  
  <p>etc....</p>
  
  <p>So what I'm wondering is if/how I can import this file back into Python (2.7 preferably) or Scikit-Learn to use as I would in Java/Scala. Something along the lines of </p>
  
  <p><code>"import (filename.pmml) as pm
    pm.predict(data)</code> </p>
  
  <p>Thanks for any help!</p>