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T

Term(double, String) - Constructor for class io.bhagat.math.linearalgebra.LinearEquation.Term

constructs a term

terms - Variable in class io.bhagat.math.linearalgebra.LinearEquation

An array of the terms in the linear equation

test(DataSet) - Method in class io.bhagat.ai.supervised.NeuralNetwork

tests the data

test(DataSet, boolean) - Method in class io.bhagat.ai.supervised.NeuralNetwork

tests the data

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

time(Function<Void, Void>) - Static method in class io.bhagat.util.Timer

times a function

Timer - Class in io.bhagat.util

A class for timing calculations to test efficiency

Timer() - Constructor for class io.bhagat.util.Timer

creates a Timer object

toMatrix() - Method in class io.bhagat.math.linearalgebra.Vector

converts the vector into a matrix column

toMatrixColumn() - Method in class io.bhagat.math.linearalgebra.Vector

converts the vector into a matrix column

toMatrixRow() - Method in class io.bhagat.math.linearalgebra.Vector

converts the vector into a matrix row

topRow - Variable in class io.bhagat.math.linearalgebra.Vector.CrossProductMatrix

toString() - Method in class io.bhagat.ai.supervised.DataPoint

string representation of the data points

toString() - Method in class io.bhagat.ai.supervised.DataSet

string representation of the data set

toString() - Method in class io.bhagat.math.linearalgebra.LinearEquation.Term

A way of visualizing each term

toString() - Method in class io.bhagat.math.linearalgebra.LinearEquation

converts back to a string equation

toString() - Method in class io.bhagat.math.linearalgebra.Matrix

toString() - Method in class io.bhagat.math.linearalgebra.Vector

toVector() - Method in class io.bhagat.math.linearalgebra.Matrix

converts this matrix into a vector

toVector() - Method in class io.bhagat.math.statistics.QuantitativeDataList

creates a Vector from the data in this list

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

trains the model to find the clusters

train(double[], double[]) - Method in class io.bhagat.ai.supervised.NeuralNetwork

trains the network based on certain inputs and the known targets for those inputs

train(double[], int) - Method in class io.bhagat.ai.supervised.Perceptron

converts the input array into a Vector and sends it to the train(Vector, integer) method

train(DataPoint) - Method in class io.bhagat.ai.supervised.NeuralNetwork

trains the network using a data point

train(DataSet) - Method in class io.bhagat.ai.supervised.NeuralNetwork

trains the network using all the data points in the data set

train(DataSet, int) - Method in class io.bhagat.ai.supervised.NeuralNetwork

trains the network using all the data points in the data set

train(Matrix) - Method in class io.bhagat.ai.unsupervised.KMeans

trains the model to find the clusters

train(Matrix, Matrix) - Method in class io.bhagat.ai.supervised.NeuralNetwork

trains the network based on certain inputs and the known targets for those inputs

train(Vector[]) - Method in class io.bhagat.ai.unsupervised.KMeans

trains the model to find the clusters

train(Vector, int) - Method in class io.bhagat.ai.supervised.Perceptron

takes in a Vector for the inputs and then compares the guess and the target output and adjusts the weights and bias accordingly

train(Vector, Vector) - Method in class io.bhagat.ai.supervised.NeuralNetwork

trains the network based on certain inputs and the known targets for those inputs

transpose() - Method in class io.bhagat.math.linearalgebra.Matrix

Transposes the matrix

transpose(Matrix) - Static method in class io.bhagat.math.linearalgebra.Matrix

transposes the rows and columns of a matrix to the columns and rows

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