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Computer system for building, training and productionizing machine learning models

机译:建筑,培训和生产机器学习模型的计算机系统

摘要

A system for building, training and productionizing machine learning models is disclosed. A model training specification is received, and a plurality of sets of hyper-parameters is obtained. Sets of training data and hyper parameter sets are distributed to distributed training systems. Models are trained in parallel using different sets of training data. Models are trained using multiple sets of hyper parameters. A candidate hyper-parameter set is selected, based on a measure of estimated effectiveness of the trained predictive models, and a production predictive model is generated by training a predictive model using the selected candidate hyper-parameter set and the complete set of training data.
机译:公开了一种建筑,培训和生产机器学习模型的系统。 接收模型训练规范,并且获得多组超参数。 培训数据和超参数集被分发到分布式训练系统。 模型使用不同的培训数据并行培训。 使用多组超参数培训模型。 基于训练有素的预测模型的估计有效性的度量,选择候选超参数集,并且通过使用所选候选超参数集和完整的训练数据训练预测模型来生成生产预测模型。

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