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Interface

Create a Neural Network

NeuralNetwork.init param1: layers returns
JavaScript number[] NeuralNetwork
Python List[int] NeuralNetwork
Java int[] NeuralNetwork
C# int[] NeuralNetwork
Scala List[Int] NeuralNetwork
F# List<int> NeuralNetwork
NeuralNetwork.customizedInit param1: layers param2: activationF param3: weightInitF returns
JavaScript number[] (number) => ActivationFunction (number) => number NeuralNetwork
Python List[int] Callable[[int], ActivationFunction] Callable[[int], float] NeuralNetwork
Java int[] IntFunction<ActivationFunction> IntFunction<Double> NeuralNetwork
C# int[] Func<int, ActivationFunction> Func<int, Double> NeuralNetwork
Scala List[Int] Int => ActivationFunction Int => Double NeuralNetwork
F# List<int> int -> ActivationFunction int -> float NeuralNetwork

Use a Neural Network

NeuralNetwork.fit param1: neuralNetwork param2: learningRate param3: inputValues param4: expectedOutput returns
JavaScript NeuralNetwork number number[] number[] NeuralNetwork
Python NeuralNetwork float List[float] List[float] NeuralNetwork
Java NeuralNetwork double double[] double[] NeuralNetwork
C# NeuralNetwork double double[] double[] NeuralNetwork
Scala NeuralNetwork Double List[Double] List[Double] NeuralNetwork
F# NeuralNetwork float List<float> List<float> NeuralNetwork
NeuralNetwork.prediction param1: neuralNetwork param2: inputValues returns
JavaScript NeuralNetwork number[] number[]
Python NeuralNetwork List[float] List[float]
Java NeuralNetwork double[] double[]
C# NeuralNetwork double[] double[]
Scala NeuralNetwork List[Double] List[Double]
F# NeuralNetwork List<float> List<float>

Convert a Neural Network

NeuralNetwork.toJson param1: neuralNetwork returns
JavaScript NeuralNetwork string
Python NeuralNetwork str
Java NeuralNetwork String
C# NeuralNetwork string
Scala NeuralNetwork String
F# NeuralNetwork string
NeuralNetwork.ofJson param1: json returns
JavaScript string NeuralNetwork
Python str NeuralNetwork
Java String NeuralNetwork
C# string NeuralNetwork
Scala String NeuralNetwork
F# string NeuralNetwork
NeuralNetwork.toSvg param1: neuralNetwork returns
JavaScript NeuralNetwork string
Python NeuralNetwork str
Java NeuralNetwork String
C# NeuralNetwork string
Scala NeuralNetwork String
F# NeuralNetwork string

Create a Data Preprocessor

DataPreprocessor.init param1: keysWithDiscreteFlags param2: datapoints returns
JavaScript any[][] iterable DataPreprocessor
Python List[Tuple[str, bool]] Iterable[Dict[str, str]] DataPreprocessor
Java Object[][] Stream<Map<String,String>> DataPreprocessor
C# (string, bool)[] IEnumerable<Dictionary<string, string>> DataPreprocessor
Scala List[(String, Boolean)] LazyList[Map[String, String]] DataPreprocessor
F# List<string * bool> seq<Map<string, string>> DataPreprocessor

Use a Data Preprocessor

DataPreprocessor.encodedDatapoint param1: dataPreprocessor param2: datapoint returns
JavaScript DataPreprocessor object number[]
Python DataPreprocessor Dict[str, str] List[float]
Java DataPreprocessor Map<String,String> double[]
C# DataPreprocessor Dictionary<string, string> double[]
Scala DataPreprocessor Map[String, String] List[Double]
F# DataPreprocessor Map<string, string> List<float>
DataPreprocessor.decodedDatapoint param1: dataPreprocessor param2: encodedDatapoint returns
JavaScript DataPreprocessor number[] object
Python DataPreprocessor List[float] Dict[str, str]
Java DataPreprocessor double[] Map<String,String>
C# DataPreprocessor double[] Dictionary<string, string>
Scala DataPreprocessor List[Double] Map[String, String]
F# DataPreprocessor List<float> Map<string, string>

Convert a Data Preprocessor

DataPreprocessor.toJson param1: dataPreprocessor returns
JavaScript DataPreprocessor string
Python DataPreprocessor str
Java DataPreprocessor String
C# DataPreprocessor string
Scala DataPreprocessor String
F# DataPreprocessor string
DataPreprocessor.ofJson param1: json returns
JavaScript string DataPreprocessor
Python str DataPreprocessor
Java String DataPreprocessor
C# string DataPreprocessor
Scala String DataPreprocessor
F# string DataPreprocessor

Evaluate

Statistics.rootMeanSquareError param1: expectedWithOutputValues returns
JavaScript iterable number
Python Iterable[Tuple[List[float], List[float]]] float
Java Stream<double[][]> double
C# IEnumerable<(double[], double[])> double
Scala LazyList[(List[Double], List[Double])] Double
F# seq<List<float> * List<float>> float