synapses-py 7.1.2

A cross-platform library for Neural Networks

Synapses

A cross-platform library for Neural Networks.

Documentation

https://mrdimosthenis.github.io/Synapses

The interface of the library is common across programming languages.

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

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	[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

Dependencies

• circe
• FSharpx.Collections
• FSharp.SystemTextJson
• PyFunctional