pymodelfit.builtins.NearestInterpolatedModel ============================================ .. currentmodule:: pymodelfit.builtins .. autoclass:: NearestInterpolatedModel :members: :inherited-members: .. automethod:: __init__ .. rubric:: Methods .. autosummary:: ~NearestInterpolatedModel.__init__ ~NearestInterpolatedModel.chi2Data ~NearestInterpolatedModel.derivative ~NearestInterpolatedModel.f ~NearestInterpolatedModel.findroot ~NearestInterpolatedModel.findval ~NearestInterpolatedModel.fitData ~NearestInterpolatedModel.fitInterp ~NearestInterpolatedModel.getCall ~NearestInterpolatedModel.getCov ~NearestInterpolatedModel.getMCMC ~NearestInterpolatedModel.integrate ~NearestInterpolatedModel.integrateCircular ~NearestInterpolatedModel.integrateSpherical ~NearestInterpolatedModel.inv ~NearestInterpolatedModel.isVarnumModel ~NearestInterpolatedModel.maximize ~NearestInterpolatedModel.minimize ~NearestInterpolatedModel.pixelize ~NearestInterpolatedModel.plot ~NearestInterpolatedModel.plotResiduals ~NearestInterpolatedModel.resampleFit ~NearestInterpolatedModel.residuals ~NearestInterpolatedModel.setCall ~NearestInterpolatedModel.stdData .. rubric:: Attributes .. autosummary:: ~NearestInterpolatedModel.data ~NearestInterpolatedModel.defaultIntMethod ~NearestInterpolatedModel.defaultInvMethod ~NearestInterpolatedModel.defaultparval ~NearestInterpolatedModel.errors ~NearestInterpolatedModel.fittype ~NearestInterpolatedModel.fittypes ~NearestInterpolatedModel.fixedpars ~NearestInterpolatedModel.kind ~NearestInterpolatedModel.params ~NearestInterpolatedModel.pardict ~NearestInterpolatedModel.parvals ~NearestInterpolatedModel.rangehint ~NearestInterpolatedModel.weightstype ~NearestInterpolatedModel.xaxisname ~NearestInterpolatedModel.yaxisname