## Uses of Class
org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder

- Packages that use LeastSquaresBuilder
  Package | Description
  --- | ---
  org.apache.commons.math3.fitting.leastsquares | This package provides algorithms that minimize the residuals between observations and model values.

- - ### Uses of LeastSquaresBuilder in org.apache.commons.math3.fitting.leastsquares

    Methods in org.apache.commons.math3.fitting.leastsquares that return LeastSquaresBuilder
    Modifier and Type | Method and Description
    --- | ---
    `LeastSquaresBuilder` | LeastSquaresBuilder.`checker(ConvergenceChecker<LeastSquaresProblem.Evaluation> newChecker)` Configure the convergence checker.
    `LeastSquaresBuilder` | LeastSquaresBuilder.`checkerPair(ConvergenceChecker<PointVectorValuePair> newChecker)` Configure the convergence checker.
    `LeastSquaresBuilder` | LeastSquaresBuilder.`lazyEvaluation(boolean newValue)` Configure whether evaluation will be lazy or not.
    `LeastSquaresBuilder` | LeastSquaresBuilder.`maxEvaluations(int newMaxEvaluations)` Configure the max evaluations.
    `LeastSquaresBuilder` | LeastSquaresBuilder.`maxIterations(int newMaxIterations)` Configure the max iterations.
    `LeastSquaresBuilder` | LeastSquaresBuilder.`model(MultivariateJacobianFunction newModel)` Configure the model function.
    `LeastSquaresBuilder` | LeastSquaresBuilder.`model(MultivariateVectorFunction value, MultivariateMatrixFunction jacobian)` Configure the model function.
    `LeastSquaresBuilder` | LeastSquaresBuilder.`parameterValidator(ParameterValidator newValidator)` Configure the validator of the model parameters.
    `LeastSquaresBuilder` | LeastSquaresBuilder.`start(double[] newStart)` Configure the initial guess.
    `LeastSquaresBuilder` | LeastSquaresBuilder.`start(RealVector newStart)` Configure the initial guess.
    `LeastSquaresBuilder` | LeastSquaresBuilder.`target(double[] newTarget)` Configure the observed data.
    `LeastSquaresBuilder` | LeastSquaresBuilder.`target(RealVector newTarget)` Configure the observed data.
    `LeastSquaresBuilder` | LeastSquaresBuilder.`weight(RealMatrix newWeight)` Configure the weight matrix.

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