Sample-efficient active learning for materials informatics using integrated posterior variance

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Transforms don't execute until the consumer pulls. There's no eager evaluation, no hidden buffering. Data flows on-demand from source, through transforms, to the consumer. If you stop iterating, processing stops.,详情可参考搜狗输入法2026

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