H2O Leaderboard中Model_id列对应StackedEnsemble模型的基础模型查询咨询

Got it, let's figure out how to pull up the base models used in that StackedEnsemble model you're working with! Depending on whether you're using Python or R with H2O, here's how to do it step by step:

Using Python #

• First, make sure you have your AutoML results object handy (let's assume you stored it as aml when you ran H2OAutoML()).
• Grab the specific StackedEnsemble model directly using its ID, then load it:

  # Replace the model ID with your actual one
  target_model_id = "StackedEnsemble_AllModels_1_AutoML_1_20220809_134944"
  stacked_model = h2o.get_model(target_model_id)
  

• Now extract and print the base models:

  # Get the list of base model objects
  base_models = stacked_model.params['base_models']['actual']
  
  # Print each base model's ID
  for model in base_models:
      print(f"Base Model ID: {model.model_id}")
  

Using R #

• Start with your AutoML object (we'll call it aml here).
• Load the target StackedEnsemble model using its ID:

  # Replace with your model's ID
  target_model_id <- "StackedEnsemble_AllModels_1_AutoML_1_20220809_134944"
  stacked_model <- h2o.getModel(target_model_id)
  

• Extract and display the base model IDs:

  # Get the base model objects
  base_models <- stacked_model@parameters$base_models
  
  # Print each model's ID
  sapply(base_models, function(model) model@model_id)
  

Quick Tip #

If you want more details about each base model (like their performance metrics), you can loop through the base model objects and call methods like model.performance() (Python) or h2o.performance(model) (R) to dive deeper.

内容的提问来源于stack exchange，提问作者Cynthia Maia