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This may be a very naïve question, but how far are we from toolkit that takes a dataset and a scoring function or goal and figures out which is the best techniq
by vosper 9y ago
This may be a very naïve question, but how far are we from toolkit that takes a dataset and a scoring function or goal and figures out which is the best technique, and optimizes it too? Sure, it's probably really resource intensive, but can it be done? Maybe with some kind of genetic algorithm selecting techniques and parameters?
Soneone must be working on this.
- flatfilefan 9y agoAn example of such tool https://github.com/paypal/autosklearn-zeroconf https://github.com/paypal/autosklearn-zeroconf There are many more including genetic algorithms. Some are discussed here: https://www.reddit.com/r/MachineLearning/comments/6efs8u/d_anyone_have_experience_with_automated_ml_tools/ https://www.reddit.com/r/MachineLearning/comments/6efs8u/d_a...
- wakkaflokka 9y agoTPOT is also a good automl package that utilizes sklearn in Python. It's also actively under development. (I'm not affiliated, just an occasional user) https://github.com/rhiever/tpot https://github.com/rhiever/tpot
- cf 9y agoThe keyword you are looking for is AutoML. http://automl.info/ http://automl.info/
- onuralp 9y agoYou might also be interested to check out Automatic Statistician (developed by Z. Ghahramani, J. Tenenbaum and others) - https://www.automaticstatistician.com/index/ https://www.automaticstatistician.com/index/