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Ax · Adaptive Experimentation Platform
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Adaptive Experimentation Platform
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2025-12-06 01:37:48
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Ax · Adaptive Experimentation Platform Ax stable Docs Tutorials API GitHub Adaptive Experimentation Platform Why Ax? Get Started Tutorials Key Features Modular Easy to plug in new algorithms and use the library across different domains. Supports A/B Tests Field experiments require a range of considerations beyond standard optimization problems. Production-Ready Support for industry-grade experimentation and optimization management, including MySQL storage. Get Started Install Ax: conda install pytorch torchvision -c pytorch # OSX only pip3 install ax-platform # all systems Run an optimization: >>> from ax import optimize >>> best_parameters, best_values, experiment, model = optimize( parameters=[ { "name" : "x1" , "type" : "range" , "bounds" : [ -10.0 , 10.0 ], }, { "name" : "x2" , "type" : "range" , "bounds" : [ -10.0 , 10.0 ], }, ], # Booth function ...
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