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Hyperopt is a Python library for serial and parallel optimization over awkward search spaces, including real-valued, discrete, and conditional dimensions. It implements algorithms like Random Search, Tree of Parzen Estimators (TPE), and Adaptive TPE, and can be parallelized using Apache Spark or MongoDB.
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