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P

parent - Variable in class io.bhagat.math.linearalgebra.Matrix.MatrixIndex

parent matrix

parent - Variable in class io.bhagat.math.linearalgebra.Vector.VectorIndex

the parent vector

parent - Variable in class io.bhagat.server.Server.ConnectionIndex

parentServer - Variable in class io.bhagat.server.Server.ConnectionIndex

path - Variable in class io.bhagat.util.FileHandler

the file path

Perceptron - Class in io.bhagat.ai.supervised

A class that will act as a Perceptron that takes in inputs and then generates an outputs based on previous training

Perceptron() - Constructor for class io.bhagat.ai.supervised.Perceptron

constructs a Perceptron with all the default parameters

Perceptron(int) - Constructor for class io.bhagat.ai.supervised.Perceptron

constructs a Perceptron with the default learning rate factor, activation function, bias learning rate, and learning rate

Perceptron(int, double) - Constructor for class io.bhagat.ai.supervised.Perceptron

constructs a Perceptron with the default learning rate factor, bias learning rate, and activation function

Perceptron(int, double, double) - Constructor for class io.bhagat.ai.supervised.Perceptron

constructs a Perceptron with the default bias learning rate, and activation function

Perceptron(int, double, double, double) - Constructor for class io.bhagat.ai.supervised.Perceptron

constructs a Perceptron with a default activation function

Perceptron(int, double, double, double, Function<Double, Integer>) - Constructor for class io.bhagat.ai.supervised.Perceptron

constructs the Perceptron with custom parameters

port - Variable in class io.bhagat.server.Client

port - Variable in class io.bhagat.server.Server

predict(double[]) - Method in class io.bhagat.ai.unsupervised.KMeans

predicts which cluster the input belongs to

predict(Vector) - Method in class io.bhagat.ai.unsupervised.KMeans

predicts which cluster the input belongs to

PrincipalComponentAnalysis - Class in io.bhagat.ai.unsupervised

A class containing methods for Principal Component Analysis

PrincipalComponentAnalysis(Matrix) - Constructor for class io.bhagat.ai.unsupervised.PrincipalComponentAnalysis

Creates an object that will perform principal component analysis

print(Vector...) - Static method in class io.bhagat.math.linearalgebra.Vector

prints any number of vectors

printArr(boolean...) - Static method in class io.bhagat.util.ArrayUtil

Prints out the boolean array in an ArrayList format

printArr(byte...) - Static method in class io.bhagat.util.ArrayUtil

Prints out the byte array in an ArrayList format

printArr(char...) - Static method in class io.bhagat.util.ArrayUtil

Prints out the char array in an ArrayList format

printArr(double...) - Static method in class io.bhagat.util.ArrayUtil

Prints out the double array in an ArrayList format

printArr(float...) - Static method in class io.bhagat.util.ArrayUtil

Prints out the float array in an ArrayList format

printArr(int...) - Static method in class io.bhagat.util.ArrayUtil

Prints out the int array in an ArrayList format

printArr(long...) - Static method in class io.bhagat.util.ArrayUtil

Prints out the long array in an ArrayList format

printArr(short...) - Static method in class io.bhagat.util.ArrayUtil

Prints out the short array in an ArrayList format

printArr(E...) - Static method in class io.bhagat.util.ArrayUtil

Prints out an array in an ArrayList format

probability(double, double) - Method in class io.bhagat.math.statistics.NormalDistribution

finds the probability of the value to be in [lowerBound, upperBound] using calculus

probability(E) - Method in class io.bhagat.math.statistics.Distribution

finds the probability that a number x is returned

probability(Interval) - Method in class io.bhagat.math.statistics.NormalDistribution

finds the probability of the value to be in an interval using calculus

probability(Double) - Method in class io.bhagat.math.statistics.NormalDistribution

finds the probability that a number x is returned

Py4jNeuralNetworkServer - Class in io.bhagat.server

Serves a neural network to python through a py4j gateway server

Py4jNeuralNetworkServer(int...) - Constructor for class io.bhagat.server.Py4jNeuralNetworkServer

Creates and serves a NeuralNetwork with a specified shape

Py4jNeuralNetworkServer(SerializableFunction<Double, Double>, int...) - Constructor for class io.bhagat.server.Py4jNeuralNetworkServer

Creates and serves a NeuralNetwork with a specified shape and activation

Py4jPrincipalComponentServer - Class in io.bhagat.server

Serves a neural network to python through a py4j gateway server

Py4jPrincipalComponentServer() - Constructor for class io.bhagat.server.Py4jPrincipalComponentServer

Creates and serves a NeuralNetwork with a specified shape and activation

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