随便看看AutoGluon-Tabular

    # Higher values indicate higher priority, priority dictates the order models are trained for a given level.
    DEFAULT_MODEL_PRIORITY = dict(
    RF=100,
    XT=90,
    KNN=80,
    GBM=70,
    CAT=60,
    NN=50,
    LR=40,
    custom=0,
    )
    
    
      
      
      
      
      
      
      
      
      
      
      
    

    MODEL_TYPES = dict(
    RF=RFModel,
    XT=XTModel,
    KNN=KNNModel,
    GBM=LGBModel,
    CAT=CatboostModel,
    NN=TabularNeuralNetModel,
    LR=LinearModel,
    )
    
    
      
      
      
      
      
      
      
      
      
    

    self.searcher
    RandomSearcher(
    ConfigSpace: Configuration space object:
      Hyperparameters:
    feature_fraction, Type: UniformFloat, Range: [0.75, 1.0], Default: 1.0
    learning_rate, Type: UniformFloat, Range: [0.01, 0.1], Default: 0.0316227766, on log-scale
    min_data_in_leaf, Type: UniformInteger, Range: [2, 30], Default: 20
    num_leaves, Type: UniformInteger, Range: [16, 96], Default: 31
    .
    Number of Trials: 0.
    Best Config: {}
    Best Reward: -inf)