# Libraries for Online Machine Learning

I am looking for packages (either in python, R, or a standalone package) to perform online learning to predict stock data.

I have found and read about Vowpal Wabbit (https://github.com/JohnLangford/vowpal_wabbit/wiki), which seems to be quite promising but I am wondering if there are any other packages out there.

• Dumb question, but do you mean online as in "non-batch mode", or as in "processed in the cloud"? Sep 9, 2014 at 17:14
• Hi Mike, I mean non-batch mode. So soon after a prediction is made we learn the true label and then use that in the training. So think in terms of predicting a stock price, in a few minutes we would learn the true value, and then use that value in our training. Sep 11, 2014 at 13:16
• Not online learning, but take a look at this post, this may help you to get a start francescopochetti.com/stock-market-prediction-part-introduction Oct 9, 2014 at 10:22