XYFit

class XYFit(val data: XYColumnarData<Double, Double, Double>, val model: DifferentiableExpression<Double>, val features: FeatureSet<OptimizationFeature>, pointToCurveDistance: PointToCurveDistance = PointToCurveDistance.byY, pointWeight: PointWeight = PointWeight.byYSigma, val xSymbol: Symbol = Symbol.x) : OptimizationProblem<Double> (source)

A fit problem for X-Y-Yerr data. Also known as "least-squares" problem.

Constructors

constructor(data: XYColumnarData<Double, Double, Double>, model: DifferentiableExpression<Double>, features: FeatureSet<OptimizationFeature>, pointToCurveDistance: PointToCurveDistance = PointToCurveDistance.byY, pointWeight: PointWeight = PointWeight.byYSigma, xSymbol: Symbol = Symbol.x)

open override fun <F : OptimizationFeature> getFeature(type: KClass<out F>): F?

Compute chi squared value for completed fit. Return null for incomplete fit

Get the starting point for optimization. Throws error if not defined.