H2O 中随机森林(回归)的偏移量如何工作?

How does offset work for random forest (regression) in H2O?

在数学上,offset_column 参数在 H2O 中的随机森林算法的训练和预测期间如何工作?

来自文档:

Note: Offsets are per-row “bias values” that are used during model training. For Gaussian distributions, they can be seen as simple corrections to the response (y) column. Instead of learning to predict the response (y-row), the model learns to predict the (row) offset of the response column. For other distributions, the offset corrections are applied in the linearized space before applying the inverse link function to get the actual response values. For more information, refer to the following link.

考虑到随机森林没有 'linearized space' 相同的概念,这与将偏移量独立应用于响应有什么不同吗?

感谢您指出这一点! H2O 的分布式随机森林实际上不支持 offset 参数。这些参数将在未来的版本中删除。可以在此处找到该问题的 jira 票证:https://0xdata.atlassian.net/browse/PUBDEV-5191