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I do not understand why someone should use this? It is basically a wrapper of existing Libs and Frameworks. This framework does not solve any problem that sciki
by Skyy93 6y ago
I do not understand why someone should use this? It is basically a wrapper of existing Libs and Frameworks. This framework does not solve any problem that scikitlearn and other existing frameworks have not already solved.
- sgt101 6y agoA good thing to read is https://joss.theoj.org/papers/10.21105/joss.02704 https://joss.theoj.org/papers/10.21105/joss.02704 The focus of this package is on the "plubming" of auto-ml solutions. The work of designing solutions based on multiple discovered models is rather unsupported in the current state of the art, and this package looks quite supportive of it. A big contribution (if it works in practice) is the idea of a scientific type describing what data is and how it should be mapped to algorithms - a systematic way of doing this is the underpinning of a process for model selection.
- dklend122 6y agoCheck out the " Model composability" section. Also multithreading, custom differentiable loss functions, works with any abstract table type, and the list goes on