trait DeepLearningSupport extends Logging
Support class to create and train Deep Learning Model
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        DLModel[T <: Frame](train: T, valid: T, response: String, modelId: String = "model", epochs: Int = 10, l1: Double = 0.0001, l2: Double = 0.0001, activation: Activation = Activation.RectifierWithDropout, hidden: Array[Int] = Array(200, 200)): DeepLearningModel
      
      
      Create Deep Learning Model for the basic usage. Create Deep Learning Model for the basic usage. This method exposes the basic configuration of the model. If you need to specify some arguments which are not exposed, please use the DeepLearning model via Sparkling Water pipelines API or using the raw java API - T
- H2O Frame Type 
- train
- frame to train 
- valid
- validation frame 
- response
- response column 
- modelId
- name of the model 
- epochs
- number of epochs 
- l1
- l1 regularization 
- l2
- l2 regularization 
- activation
- activation function 
- hidden
- number and size of the hidden layers 
- returns
- Deep Learning Model 
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- @DeprecatedMethod( ... , "3.32" )
 
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