A B C D E F G H I J K L M N O P Q R S T U V W X Z
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All Classes All Packages
All Classes All Packages
G
- g(E...) - Method in class io.bhagat.math.Function
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function with multiple parameters and multiple returns
- GAUSS_METHOD - Static variable in class io.bhagat.math.linearalgebra.LinearEquationSolver
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constant for Gauss Method
- gaussMethod(Matrix, Vector, ArrayList<String>) - Static method in class io.bhagat.math.linearalgebra.LinearEquationSolver
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computes the solutions of the matrix equation Ax=b using the guassian method
- generateUnitVector(int, int) - Static method in class io.bhagat.math.linearalgebra.Vector
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creates a unit vector
- get(int) - Method in class io.bhagat.math.linearalgebra.Vector
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Gets the data at a particular index
- get(int, int) - Method in class io.bhagat.math.linearalgebra.Matrix
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Get a value at a specified row and column
- get(Matrix.MatrixIndex) - Method in class io.bhagat.math.linearalgebra.Matrix
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Get a value using a matrixIndex and store that into the matrix index
- get(Vector.VectorIndex) - Method in class io.bhagat.math.linearalgebra.Vector
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Gets data from an index using the VectorIndex object and stores the value into this object
- getActivationFunction() - Method in class io.bhagat.ai.supervised.NeuralNetwork
- getActivationFunction() - Method in class io.bhagat.ai.supervised.Perceptron
- getBias() - Method in class io.bhagat.ai.supervised.NeuralNetwork
- getBias() - Method in class io.bhagat.ai.supervised.Perceptron
- getCallback() - Method in class io.bhagat.server.Client
- getCallback() - Method in class io.bhagat.server.Server
- getCenteredData() - Method in class io.bhagat.ai.unsupervised.PrincipalComponentAnalysis
- getColumns() - Method in class io.bhagat.math.linearalgebra.Matrix
- getConnection() - Method in class io.bhagat.server.Server.ConnectionIndex
- getConnectionIndex() - Method in class io.bhagat.server.Server.ServerThread
- getConstant() - Method in class io.bhagat.math.linearalgebra.LinearEquation
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finds the constant in the equation
- getData() - Method in class io.bhagat.math.linearalgebra.Matrix
- getData() - Method in class io.bhagat.math.linearalgebra.Vector
- getDistribution() - Method in class io.bhagat.math.statistics.NormalDistribution
- getHost() - Method in class io.bhagat.server.Client
- getHost() - Method in class io.bhagat.server.Server.ConnectionIndex
- getHostname() - Method in class io.bhagat.server.Server.ConnectionIndex
- getI() - Method in class io.bhagat.math.linearalgebra.Matrix.MatrixIndex
- getIndex() - Method in class io.bhagat.math.linearalgebra.Vector.VectorIndex
- getIndex() - Method in class io.bhagat.server.Server.ConnectionIndex
- getInputs() - Method in class io.bhagat.ai.supervised.DataPoint
- getIterations() - Method in class io.bhagat.ai.unsupervised.KMeans
- getJ() - Method in class io.bhagat.math.linearalgebra.Matrix.MatrixIndex
- getK() - Method in class io.bhagat.ai.unsupervised.KMeans
- getLastResult() - Method in class io.bhagat.math.statistics.Simulation
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gets the last result of the simulation
- getLearingRate() - Method in class io.bhagat.ai.supervised.NeuralNetwork
- getLearningRate() - Method in class io.bhagat.ai.supervised.Perceptron
- getLearningRateFactor() - Method in class io.bhagat.ai.supervised.Perceptron
- getLowerBound() - Method in class io.bhagat.math.Interval
- getMagnitude() - Method in class io.bhagat.math.linearalgebra.Vector
- getMean() - Method in class io.bhagat.math.statistics.DoubleDistribution
- getMean() - Method in class io.bhagat.math.statistics.NormalDistribution
- getNumOfInputs() - Method in class io.bhagat.ai.supervised.NeuralNetwork
- getNumOfOutputs() - Method in class io.bhagat.ai.supervised.NeuralNetwork
- getNumsOfHiddens() - Method in class io.bhagat.ai.supervised.NeuralNetwork
- getObject() - Method in class io.bhagat.server.Server.ConnectionIndex
- getOutputs() - Method in class io.bhagat.ai.supervised.DataPoint
- getParent() - Method in class io.bhagat.math.linearalgebra.Matrix.MatrixIndex
- getParent() - Method in class io.bhagat.math.linearalgebra.Vector.VectorIndex
- getParent() - Method in class io.bhagat.server.Server.ConnectionIndex
- getParentServer() - Method in class io.bhagat.server.Server.ConnectionIndex
- getPath() - Method in class io.bhagat.util.FileHandler
- getPort() - Method in class io.bhagat.server.Client
- getPort() - Method in class io.bhagat.server.Server
- getRows() - Method in class io.bhagat.math.linearalgebra.Matrix
- getSize() - Method in class io.bhagat.math.linearalgebra.Vector
- getStandardDeviation() - Method in class io.bhagat.math.statistics.DoubleDistribution
- getStandardDeviation() - Method in class io.bhagat.math.statistics.NormalDistribution
- getSum() - Method in class io.bhagat.math.linearalgebra.Vector
- getThreads() - Method in class io.bhagat.server.Server
- getUpperBound() - Method in class io.bhagat.math.Interval
- getValue() - Method in class io.bhagat.math.linearalgebra.Matrix.MatrixIndex
- getValue() - Method in class io.bhagat.math.linearalgebra.Vector.VectorIndex
- getVariable() - Method in class io.bhagat.math.linearalgebra.LinearEquation.Term
- getVariables() - Method in class io.bhagat.math.linearalgebra.LinearEquation
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creates a list of variables from the terms
- getVectorColumns() - Method in class io.bhagat.math.linearalgebra.Matrix
- getVectorRows() - Method in class io.bhagat.math.linearalgebra.Matrix
- getWeight() - Method in class io.bhagat.math.linearalgebra.LinearEquation.Term
- getWeight(String) - Method in class io.bhagat.math.linearalgebra.LinearEquation
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gets a weight for a specific variable
- getWeights() - Method in class io.bhagat.ai.supervised.NeuralNetwork
- getWeights() - Method in class io.bhagat.ai.supervised.Perceptron
- getWeights() - Method in class io.bhagat.math.linearalgebra.LinearEquation
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gets all the weights that the variables are multiplied with in each term
- guess(double[]) - Method in class io.bhagat.ai.supervised.Perceptron
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takes in an input array and converts it to a vector and sends it to guess(Vector)
- guess(Vector) - Method in class io.bhagat.ai.supervised.Perceptron
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takes a Vector for inputs and then guesses the output
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