title: scikit learn task managment library
body: <p>Update:
  after some extra search. I thin I am overuse scikit-learn. if I want a production ML tools. I should use something like mahout which built on hadoop. scikit-learn is more like a toy tools for experiment ideas.</p>
  
  <p>I am new to scikit-learn. I try to use scikit-learn to train a model, I want to experiment different feature combinationes and data pre-processing techniques. Each experiment will takes few hours(in order to minimize error, I will run every experiment 10 times with different train-test split), So I wrote some python script to run experiment one by one automatically, when an experiment is done, it will send me an email. </p>
  
  <p>It works well, I found another server that is available to run my experiment today, it seems reasonable I should write some script that can run experiments in a distribution-fashion. There are big data platforms like hadoop, but I find that it is not for python and scikit-learn(please point out to me If my understanding of hadoop is wrong). </p>
  
  <p>Because scikit-learn is an "old" library, so I think there should have existing libraries that have these capabilities that I want. or I am running in wrong direction of scikit-learn?</p>
  
  <p>I try to google "scikit-learn task managment", But nothing I want turn out. other key word to search is also very welcome.</p>