The NeuralNet_XL companion object provides factory methods for creating multi-layer (one+ hidden layers) neural networks. Note, 'scale' is defined in Scaling.
Attributes
- Companion
- class
- Graph
-
- Supertypes
- Self type
-
NeuralNet_XL.type
Members list
Value members
Concrete methods
Create a NeuralNet_XL with automatic rescaling from a combined data matrix.
Create a NeuralNet_XL with automatic rescaling from a combined data matrix.
Value parameters
- col
-
the first designated response column (defaults to the last column)
- f
-
the array of activation function families between every pair of layers
- fname
-
the feature/variable names
- hparam
-
the hyper-parameters
- nz
-
the number of nodes in each hidden layer, e.g., Array (5, 10) means 2 hidden with sizes 5 and 10
- xy
-
the combined input and output matrix
Attributes
Create a NeuralNet_XL with automatic rescaling from a data matrix and response matrix.
Create a NeuralNet_XL with automatic rescaling from a data matrix and response matrix.
Value parameters
- f
-
the array of activation function families between every pair of layers
- fname
-
the feature/variable names
- hparam
-
the hyper-parameters
- nz
-
the number of nodes in hidden layer (-1 => use default formula)
- x
-
the input/data matrix
- y
-
the output/response matrix