首页>
外国专利>
Parallel processing machine learning decision tree training
Parallel processing machine learning decision tree training
展开▼
机译:并行处理机器学习决策树训练
展开▼
页面导航
摘要
著录项
相似文献
摘要
Embodiments are disclosed herein that relate to generating a decision tree through graphical processing unit (GPU) based machine learning. For example, one embodiment provides a method including, for each level of the decision tree: performing, at each GPU of the parallel processing pipeline, a feature test for a feature in a feature set on every example in an example set. The method further includes accumulating results of the feature tests in local memory blocks. The method further includes writing the accumulated results from each local memory block to global memory to generate a histogram of features for every node in the level, and for each node in the level, assigning a feature having a lowest entropy in accordance with the histograms to the node.
展开▼