R环境下H2O.GLM模型对象是否未保存weight_column参数？

Hey there! I’ve run into this exact situation before with H2O models in R—sometimes the parameter you’re looking for isn’t where you expect it to be. Let’s walk through a few reliable places to check for your weights_column setting:

• Check the @model sub-object directly
  H2O often stores column-specific metadata in the @model nested object of your model. Try running this to pull the weights column name straight away:

  model@model$weights_column
  

• Use h2o.describe() for full model context
  This function dumps a comprehensive overview of your model, including every training parameter and configuration detail. Run it and scan the output for "weights_column"—it should show up here if you specified it during training:

  h2o.describe(model)
  

• Dig deeper into model@allparameters
  Sometimes nested parameters can slip past a quick glance. Use names(model@allparameters) to list all top-level parameters, and if weights_column isn’t there, inspect the full structure of the object with str(model@allparameters) to spot any nested entries.

• Check the training frame’s metadata
  If you assigned the weights column when creating your H2O training frame (instead of passing it directly to h2o.glm()), you can retrieve it from the frame itself:

  training_frame <- h2o.getFrame(model@training_frame)
  training_frame@weights_column
  

A quick heads-up: If you’re on an older version of H2O, parameter storage locations or naming might differ. If none of the above work, updating to the latest stable H2O package often fixes these visibility quirks.

内容的提问来源于stack exchange，提问作者PingPong