RNN class

Minimal RNN wrapper using an MLP readout to keep implementation concise

Constructors

RNN({required int inputSize, required int hiddenSize, required List<int> readoutLayers, int? seed})

Properties

hashCode → int

The hash code for this object.

no setter, inherited

hiddenSize → int

final

inputSize → int

final

readout → ANN

final

runtimeType → Type

A representation of the runtime type of the object.

no setter, inherited

Methods

fit(List<List<List<double>>> X, List<List<double>> Y, {int? batchSize, bool verbose = false}) → void

noSuchMethod(Invocation invocation) → dynamic

Invoked when a nonexistent method or property is accessed.

inherited

predict(List<List<List<double>>> X) → List<List<double>>

toJson() → String

toMap() → Map<String, dynamic>

toString() → String

A string representation of this object.

inherited

Operators

operator ==(Object other) → bool

The equality operator.

inherited

Static Methods

fromJson(String s, {int? seed}) → RNN

fromMap(Map<String, dynamic> m, {int? seed}) → RNN