FLAML
Accelerating development of machine learning applications for engineers and data scientists
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FLAML: A Fast Library for AutoML and Tuning
2020年12月
FLAML is a Python library designed to automatically produce accurate machine learning models with low computational cost. It frees users from selecting learners and hyperparameters for each learner. FLAML is powered by a new, cost-effective hyperparameter optimization and learner selection…
ABC: Large Scale Labeled Data for Classification
2018年12月
This download contains the processed datasets used in the AAAI’19 paper ABC: Efficient Selection of Machine Learning Configuration on Large Dataset. A machine learning configuration refers to a combination of preprocessor, learner, and hyperparameters. Given a set of configurations and…