How does FLAML compare?
#1117
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The market today is saturated with AutoML solutions and a question that often comes up is how different solutions compare to each other. From a feature comparison (side-by-side table) standpoint, but also from an experience standpoint.
Has anyone used other AutoML solutions, in addition to FLAML? Referring to both proprietary (Data Robot, Azure ML, etc) and open-source (PyCaret, AutoKeras, etc) solutions. If so, very curious to hear your thoughts!
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