The NeuralNet_Class_3L companion object provides factory methods for building three-layer (one hidden layer) neural network classifiers. Note, 'scale' is defined in Scaling.
Attributes
- Companion
- class
- Graph
-
- Supertypes
- Self type
-
NeuralNet_Class_3L.type
Members list
Value members
Concrete methods
Create a NeuralNet_Class_3L classifier for the given combined matrix where the column col is the response/classification vector.
Create a NeuralNet_Class_3L classifier for the given combined matrix where the column col is the response/classification vector.
Value parameters
- cname
-
the names for all classes
- col
-
the designated response column (defaults to the last column)
- f
-
the activation function family for layers 1->2 (input to output)
- fname
-
the names for all features/variables
- hparam
-
the hyper-parameters
- nz
-
the number of nodes in hidden layer
- xy
-
the combined data matrix (features and response)
Attributes
Create a NeuralNet_Class_3L classifier for a data matrix and response vector.
Create a NeuralNet_Class_3L classifier for a data matrix and response vector.
Value parameters
- cname
-
the names for all classes
- f
-
the activation function family for layers 1->2 (input to output)
- fname
-
the feature/variable names
- hparam
-
the hyper-parameters
- nz
-
the number of nodes in hidden layer
- x
-
the input/data matrix
- y
-
the output/response vector