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Edward Raff
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95 followers
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Reflecting on two years of Academic Publishing & Reviewer #2
March 2nd I defended my PhD thesis at UMBC! I can now call myself Dr Raff and be not-quite the Jewish doctor my mom had always hoped for! It's been a whirlwind of a journey, which started a bit over two years ago. I've been very fortunate to have a lot of s...
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New in JSAT 0.0.8!
Wow stuff has been busy. Health is improving and lots of other fun exciting things going on, including a new release of JSAT! I just pushed 0.0.8 to Maven, some of the new changes that I'm excited about:  The Convex Polytope Machine  is a new classified I'v...
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A New Year and next JSAT version
Happy new year everyone! I'm recovering from surgery nicely, and hoping to start the new year with a more upward trend on matters related to my health. This has really slowed down a lot of my plans for JSAT, but I hope it still be useful to everyone. I'm go...
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New in JSAT 0.0.4 and 0.0.5
Ah, I've gotten bad about making posts. I've recently started a PhD program and that has eaten up a lot of my time. I'm still using JSAT for stuff, and a lot of what I'll be adding to JSAT will be stuff I plan on using for my research. With that, I also wan...
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A Binary Format for JSAT Datasets
I made a post a while ago about  improving the LIBSVM file loader  in JSAT so that it wouldn't use nearly as much memory and be a good deal faster too, and I complained about everyone using human readable ASCII file formats. Spurred by a recent pull request...
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Visualization Algorithms in JSAT
For the next update of JSAT (you can try them early in the 0.0.3-SNAPSHOT release), I've been working on implementing a few algorithms meant specifically for visualizing datasets. For now I've chosen three of the more common / well known algorithms, MDS , I...
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Easier Hyperparameter Tuning
I've just released the newest version of JSAT to my maven repo and github , and the biggest change is some work I've done to make parameter tuning much easier for people who are new to Machine Learning or JSAT specifically. The crux of this new code, from t...
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Exact Models and Cross Validation from Warm Starts
One of the most common tasks when performing model building is to do some Cross Validation. Computationally speaking, this can be a very performance intensive deal. If you want to do 10-fold cross validation, you're basically going to be waiting ~10x as lon...
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JSAT vs Weka on MNIST
I'm a strong proponent of using the right tool for the job, and I need to prefix this post with that fact that Java is not the best tool for Machine Learning in general. But you may know java best, you may need to interface with a Java infrastructure, or yo...
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