Uses of Class
io.bhagat.math.SerializableFunction

Packages that use SerializableFunction

Package	Description
io.bhagat.ai.supervised	A package that holds AI algorithms that fall under supervised learning
io.bhagat.server	A package for java servers to serve the contents of this library

Uses of SerializableFunction in io.bhagat.ai.supervised

Fields in io.bhagat.ai.supervised declared as SerializableFunction

Modifier and Type	Field	Description
private SerializableFunction<java.lang.Double,java.lang.Double>	NeuralNetwork.activationFunction	the activation function
static SerializableFunction<java.lang.Double,java.lang.Double>	NeuralNetwork.defaultActivationFunction	the default activation function the sigmoid function takes any numbers and puts it between 0 and 1

Methods in io.bhagat.ai.supervised that return SerializableFunction

Modifier and Type	Method	Description
SerializableFunction<java.lang.Double,java.lang.Double>	NeuralNetwork.getActivationFunction()

Methods in io.bhagat.ai.supervised with parameters of type SerializableFunction

Modifier and Type	Method	Description
void	NeuralNetwork.setActivationFunction(SerializableFunction<java.lang.Double,java.lang.Double> activationFunction)

Constructors in io.bhagat.ai.supervised with parameters of type SerializableFunction

Constructor	Description
NeuralNetwork(SerializableFunction<java.lang.Double,java.lang.Double> activationFunction, int... shape)	Creates a NeuralNetwork with a specified shape

Uses of SerializableFunction in io.bhagat.server

Constructors in io.bhagat.server with parameters of type SerializableFunction

Constructor	Description
Py4jNeuralNetworkServer(SerializableFunction<java.lang.Double,java.lang.Double> activationFunction, int... shape)	Creates and serves a NeuralNetwork with a specified shape and activation