| Package | Description |
|---|---|
| nuroko.algo | |
| nuroko.coders | |
| nuroko.core | |
| nuroko.function | |
| nuroko.module | |
| nuroko.module.layers | |
| nuroko.module.loss | |
| nuroko.task | |
| nuroko.task.samples | |
| nuroko.task.wrappers |
| Class and Description |
|---|
| IComponent |
| Class and Description |
|---|
| ICoder
Interface for an object that handles both encoding and decoding of values
Coders must be stateless and/or immutable, as it is expected that they will be re-used
by concurrent code.
|
| IDecoder
Interface for a decoder that converts a vector of double values into an
object of the appropriate type T.
|
| IEncoder
Interface for an encoder that converts an object of type T
into a vector of double values
Instances should be stateless and/or immutable
|
| IFunction |
| Class and Description |
|---|
| IComponent |
| IDecoder
Interface for a decoder that converts a vector of double values into an
object of the appropriate type T.
|
| IEncoder
Interface for an encoder that converts an object of type T
into a vector of double values
Instances should be stateless and/or immutable
|
| IFunction |
| IInput |
| IInputOutput
Interface for a module that has fixed-size input and output
|
| IInputState |
| IModule
Interface for general purpose learning modules.
|
| IOutput |
| IOutputState |
| IParameterised
Interface representing a parameterised model.
|
| ISynthesiser
Interface for a synthesizer, i.e.
|
| ITask |
| IThinker
Interface for standard "Thinker" operations
Conceptually, thinkers are modules that map from an input to an output.
|
| ITrainable
Represents a thinker that can be trained in a supervised fashion using a target output
|
| Class and Description |
|---|
| IFunction |
| Class and Description |
|---|
| IComponent |
| IConstraint
Interface for component
Applied by calling the applyConstraints() method in IComponent;
|
| IFunction |
| IInput |
| IInputOutput
Interface for a module that has fixed-size input and output
|
| IInputState |
| IModule
Interface for general purpose learning modules.
|
| IOutput |
| IOutputState |
| IParameterised
Interface representing a parameterised model.
|
| ISynthesiser
Interface for a synthesizer, i.e.
|
| IThinker
Interface for standard "Thinker" operations
Conceptually, thinkers are modules that map from an input to an output.
|
| ITrainable
Represents a thinker that can be trained in a supervised fashion using a target output
|
| Class and Description |
|---|
| IComponent |
| IConstraint
Interface for component
Applied by calling the applyConstraints() method in IComponent;
|
| IFunction |
| IInput |
| IInputOutput
Interface for a module that has fixed-size input and output
|
| IInputState |
| IModule
Interface for general purpose learning modules.
|
| IOutput |
| IOutputState |
| IParameterised
Interface representing a parameterised model.
|
| ISynthesiser
Interface for a synthesizer, i.e.
|
| IThinker
Interface for standard "Thinker" operations
Conceptually, thinkers are modules that map from an input to an output.
|
| ITrainable
Represents a thinker that can be trained in a supervised fashion using a target output
|
| Class and Description |
|---|
| IComponent |
| Class and Description |
|---|
| ITask |
| Class and Description |
|---|
| ITask |
| Class and Description |
|---|
| ITask |
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