trait DeepLearningSupport extends Logging
Support class to create and train Deep Learning Model
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def
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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