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I am surprised by this - h2o.ai seems to have many if not all of the features of this, and is open source. "Specifically, there were no systems in place to bui
by aorloff 9y ago
I am surprised by this - h2o.ai seems to have many if not all of the features of this, and is open source.
"Specifically, there were no systems in place to build reliable, uniform, and reproducible pipelines for creating and managing training and prediction data at scale. Prior to Michelangelo, it was not possible to train models larger than what would fit on data scientists’ desktop machines, and there was neither a standard place to store the results of training experiments nor an easy way to compare one experiment to another."
Seems like h2o.ai fits a lot of that bill.
- opensandwich 9y agoh2o.ai doesn't really do data pipelines, though it does appear they are eager to go into this space through their new driverless.ai tool. However this does not appear to be open source.
- JPKab 9y agoSomething else that throws me off on this: My team's experience with MLlib has been bad. Especially compared to H2O Sparkling Water. Anyone else on here find MLlib to not be as good as advertised? I was surprised to see Uber using it.
- thecity2 9y agoSpark is good if it fits your use case (or if you can make it fit your use case). We have definitely found that scaling can be a real issue though.