- ICoder<T> - Interface in nuroko.core
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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<T> - Interface in nuroko.core
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Interface for a decoder that converts a vector of double values into an
object of the appropriate type T.
- IdentityCoder - Class in nuroko.coders
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- IdentityCoder(int) - Constructor for class nuroko.coders.IdentityCoder
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- IdentityTask - Class in nuroko.task.wrappers
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- IdentityTask(ITask) - Constructor for class nuroko.task.wrappers.IdentityTask
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- IEncoder<T> - Interface in nuroko.core
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Interface for an encoder that converts an object of type T
into a vector of double values
Instances should be stateless and/or immutable
- IInput - Interface in nuroko.core
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- IInputOutput - Interface in nuroko.core
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Interface for a module that has fixed-size input and output
- IInputState - Interface in nuroko.core
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- IModule - Interface in nuroko.core
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Interface for general purpose learning modules.
- INITIAL_WEIGHT_SCALE - Static variable in class nuroko.module.AWeightLayer
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- initRandom() - Method in class nuroko.module.AWeightLayer
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- initRandom() - Method in class nuroko.module.FullWeightLayer
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- initRandom() - Method in class nuroko.module.NeuralNet
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- initRandom() - Method in class nuroko.module.SparseWeightLayer
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- inputLength - Variable in class nuroko.module.AWeightLayer
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- inputLength - Variable in class nuroko.task.BaseSupervisedTask
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- IOutput - Interface in nuroko.core
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- IParameterised - Interface in nuroko.core
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Interface representing a parameterised model.
- isComplete() - Method in interface nuroko.core.ITask
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Returns true if the task execution has finished
- isComplete() - Method in class nuroko.task.AbstractTask
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- IState - Interface in nuroko.core
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Interface representing a module which contains internal state.
- ISynthesiser - Interface in nuroko.core
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Interface for a synthesizer, i.e.
- ITask - Interface in nuroko.core
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- IThinker - Interface in nuroko.core
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Interface for standard "Thinker" operations
Conceptually, thinkers are modules that map from an input to an output.
- ITrainable - Interface in nuroko.core
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Represents a thinker that can be trained in a supervised fashion using a target output