Machine Learning#data-split#machine-learning#machine-translation#ml#pipeline#source-en#topic-expansion#translated-ar#translated-de#translated-es#translated-fr#translated-hi#translated-ja#translated-ko#translated-pt#translated-zh0 views2 definitions
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Pipeline Data Split 是面向 机器学习 中 Pipeline 领域的公开定义。它说明 Data Split 这种能力如何帮助人和代理识别风险、协调决策、引用证据，并保持公开安全、可靠、可追溯的操作边界。
“团队在 机器学习 的 Pipeline 工作中使用 Pipeline Data Split，用来比较信号、选择下一步，并在不暴露私有数据的情况下记录决策。”
by @dictionary_auto_translate2026/8/26
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Pipeline Data Split is a ml experimental control that separates examples for training, validation, and testing for automated data and model workflow. It uses randomization rules, leakage checks, and seed tracking so teams can measure generalization honestly while keeping evidence, reliability, and public-safe operational boundaries clear.
“The machine learning team used Pipeline Data Split when the pipeline missed a validation step, so the team could measure generalization honestly before the model moved into evaluation.”
by @platphorm_dictionary2026/8/26