[91] | 1 | //#--------------------------------------------------------------------------- |
---|
[890] | 2 | //# Fitter.cc: A Fitter class for spectra |
---|
[91] | 3 | //#-------------------------------------------------------------------------- |
---|
[2444] | 4 | //# Copyright (C) 2004-2012 |
---|
[125] | 5 | //# ATNF |
---|
[91] | 6 | //# |
---|
| 7 | //# This program is free software; you can redistribute it and/or modify it |
---|
| 8 | //# under the terms of the GNU General Public License as published by the Free |
---|
| 9 | //# Software Foundation; either version 2 of the License, or (at your option) |
---|
| 10 | //# any later version. |
---|
| 11 | //# |
---|
| 12 | //# This program is distributed in the hope that it will be useful, but |
---|
| 13 | //# WITHOUT ANY WARRANTY; without even the implied warranty of |
---|
| 14 | //# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General |
---|
| 15 | //# Public License for more details. |
---|
| 16 | //# |
---|
| 17 | //# You should have received a copy of the GNU General Public License along |
---|
| 18 | //# with this program; if not, write to the Free Software Foundation, Inc., |
---|
| 19 | //# 675 Massachusetts Ave, Cambridge, MA 02139, USA. |
---|
| 20 | //# |
---|
| 21 | //# Correspondence concerning this software should be addressed as follows: |
---|
| 22 | //# Internet email: Malte.Marquarding@csiro.au |
---|
| 23 | //# Postal address: Malte Marquarding, |
---|
| 24 | //# Australia Telescope National Facility, |
---|
| 25 | //# P.O. Box 76, |
---|
| 26 | //# Epping, NSW, 2121, |
---|
| 27 | //# AUSTRALIA |
---|
| 28 | //# |
---|
[891] | 29 | //# $Id: STFitter.cpp 2725 2013-01-10 06:37:05Z WataruKawasaki $ |
---|
[91] | 30 | //#--------------------------------------------------------------------------- |
---|
[125] | 31 | #include <casa/aips.h> |
---|
[91] | 32 | #include <casa/Arrays/ArrayMath.h> |
---|
| 33 | #include <casa/Arrays/ArrayLogical.h> |
---|
[1819] | 34 | #include <casa/Logging/LogIO.h> |
---|
[91] | 35 | #include <scimath/Fitting.h> |
---|
| 36 | #include <scimath/Fitting/LinearFit.h> |
---|
| 37 | #include <scimath/Functionals/CompiledFunction.h> |
---|
| 38 | #include <scimath/Functionals/CompoundFunction.h> |
---|
| 39 | #include <scimath/Functionals/Gaussian1D.h> |
---|
[2725] | 40 | #include <scimath/Functionals/Lorentzian1D.h> |
---|
[2047] | 41 | #include <scimath/Functionals/Sinusoid1D.h> |
---|
[91] | 42 | #include <scimath/Functionals/Polynomial.h> |
---|
| 43 | #include <scimath/Mathematics/AutoDiff.h> |
---|
| 44 | #include <scimath/Mathematics/AutoDiffMath.h> |
---|
| 45 | #include <scimath/Fitting/NonLinearFitLM.h> |
---|
| 46 | #include <components/SpectralComponents/SpectralEstimate.h> |
---|
| 47 | |
---|
[894] | 48 | #include "STFitter.h" |
---|
| 49 | |
---|
[91] | 50 | using namespace asap; |
---|
[125] | 51 | using namespace casa; |
---|
[91] | 52 | |
---|
[890] | 53 | Fitter::Fitter() |
---|
[91] | 54 | { |
---|
| 55 | } |
---|
| 56 | |
---|
[890] | 57 | Fitter::~Fitter() |
---|
[91] | 58 | { |
---|
[517] | 59 | reset(); |
---|
[91] | 60 | } |
---|
| 61 | |
---|
[890] | 62 | void Fitter::clear() |
---|
[91] | 63 | { |
---|
[517] | 64 | for (uInt i=0;i< funcs_.nelements();++i) { |
---|
| 65 | delete funcs_[i]; funcs_[i] = 0; |
---|
| 66 | } |
---|
[612] | 67 | funcs_.resize(0,True); |
---|
[517] | 68 | parameters_.resize(); |
---|
[1232] | 69 | fixedpar_.resize(); |
---|
[517] | 70 | error_.resize(); |
---|
| 71 | thefit_.resize(); |
---|
| 72 | estimate_.resize(); |
---|
| 73 | chisquared_ = 0.0; |
---|
[91] | 74 | } |
---|
[517] | 75 | |
---|
[890] | 76 | void Fitter::reset() |
---|
[91] | 77 | { |
---|
[517] | 78 | clear(); |
---|
| 79 | x_.resize(); |
---|
| 80 | y_.resize(); |
---|
| 81 | m_.resize(); |
---|
[2666] | 82 | constraints_.clear(); |
---|
[91] | 83 | } |
---|
| 84 | |
---|
| 85 | |
---|
[890] | 86 | bool Fitter::computeEstimate() { |
---|
[517] | 87 | if (x_.nelements() == 0 || y_.nelements() == 0) |
---|
| 88 | throw (AipsError("No x/y data specified.")); |
---|
[91] | 89 | |
---|
[517] | 90 | if (dynamic_cast<Gaussian1D<Float>* >(funcs_[0]) == 0) |
---|
| 91 | return false; |
---|
| 92 | uInt n = funcs_.nelements(); |
---|
| 93 | SpectralEstimate estimator(n); |
---|
| 94 | estimator.setQ(5); |
---|
| 95 | Int mn,mx; |
---|
| 96 | mn = 0; |
---|
| 97 | mx = m_.nelements()-1; |
---|
| 98 | for (uInt i=0; i<m_.nelements();++i) { |
---|
| 99 | if (m_[i]) { |
---|
| 100 | mn = i; |
---|
| 101 | break; |
---|
[108] | 102 | } |
---|
[517] | 103 | } |
---|
[2163] | 104 | // use Int to suppress compiler warning |
---|
| 105 | for (Int j=m_.nelements()-1; j>=0;--j) { |
---|
[517] | 106 | if (m_[j]) { |
---|
| 107 | mx = j; |
---|
| 108 | break; |
---|
[108] | 109 | } |
---|
[517] | 110 | } |
---|
[1067] | 111 | //mn = 0+x_.nelements()/10; |
---|
| 112 | //mx = x_.nelements()-x_.nelements()/10; |
---|
[517] | 113 | estimator.setRegion(mn,mx); |
---|
| 114 | //estimator.setWindowing(True); |
---|
| 115 | SpectralList listGauss = estimator.estimate(x_, y_); |
---|
| 116 | parameters_.resize(n*3); |
---|
| 117 | Gaussian1D<Float>* g = 0; |
---|
| 118 | for (uInt i=0; i<n;i++) { |
---|
[2675] | 119 | // g = dynamic_cast<Gaussian1D<Float>* >(funcs_[i]); |
---|
| 120 | // if (g) { |
---|
| 121 | // const GaussianSpectralElement *gauss = |
---|
| 122 | // dynamic_cast<const GaussianSpectralElement *>(listGauss[i]) ; |
---|
| 123 | // (*g)[0] = gauss->getAmpl(); |
---|
| 124 | // (*g)[1] = gauss->getCenter(); |
---|
| 125 | // (*g)[2] = gauss->getFWHM(); |
---|
| 126 | // /* |
---|
| 127 | // (*g)[0] = listGauss[i].getAmpl(); |
---|
| 128 | // (*g)[1] = listGauss[i].getCenter(); |
---|
| 129 | // (*g)[2] = listGauss[i].getFWHM(); |
---|
| 130 | // */ |
---|
| 131 | // } |
---|
[517] | 132 | } |
---|
| 133 | estimate_.resize(); |
---|
| 134 | listGauss.evaluate(estimate_,x_); |
---|
| 135 | return true; |
---|
[91] | 136 | } |
---|
| 137 | |
---|
[890] | 138 | std::vector<float> Fitter::getEstimate() const |
---|
[91] | 139 | { |
---|
[517] | 140 | if (estimate_.nelements() == 0) |
---|
| 141 | throw (AipsError("No estimate set.")); |
---|
| 142 | std::vector<float> stlout; |
---|
| 143 | estimate_.tovector(stlout); |
---|
| 144 | return stlout; |
---|
[91] | 145 | } |
---|
| 146 | |
---|
| 147 | |
---|
[890] | 148 | bool Fitter::setExpression(const std::string& expr, int ncomp) |
---|
[91] | 149 | { |
---|
[517] | 150 | clear(); |
---|
| 151 | if (expr == "gauss") { |
---|
| 152 | if (ncomp < 1) throw (AipsError("Need at least one gaussian to fit.")); |
---|
| 153 | funcs_.resize(ncomp); |
---|
[1932] | 154 | funcnames_.clear(); |
---|
| 155 | funccomponents_.clear(); |
---|
[517] | 156 | for (Int k=0; k<ncomp; ++k) { |
---|
| 157 | funcs_[k] = new Gaussian1D<Float>(); |
---|
[1932] | 158 | funcnames_.push_back(expr); |
---|
| 159 | funccomponents_.push_back(3); |
---|
[517] | 160 | } |
---|
[1819] | 161 | } else if (expr == "lorentz") { |
---|
| 162 | if (ncomp < 1) throw (AipsError("Need at least one lorentzian to fit.")); |
---|
| 163 | funcs_.resize(ncomp); |
---|
[1932] | 164 | funcnames_.clear(); |
---|
| 165 | funccomponents_.clear(); |
---|
[1819] | 166 | for (Int k=0; k<ncomp; ++k) { |
---|
| 167 | funcs_[k] = new Lorentzian1D<Float>(); |
---|
[1932] | 168 | funcnames_.push_back(expr); |
---|
| 169 | funccomponents_.push_back(3); |
---|
[1819] | 170 | } |
---|
[2047] | 171 | } else if (expr == "sinusoid") { |
---|
| 172 | if (ncomp < 1) throw (AipsError("Need at least one sinusoid to fit.")); |
---|
| 173 | funcs_.resize(ncomp); |
---|
| 174 | funcnames_.clear(); |
---|
| 175 | funccomponents_.clear(); |
---|
| 176 | for (Int k=0; k<ncomp; ++k) { |
---|
| 177 | funcs_[k] = new Sinusoid1D<Float>(); |
---|
| 178 | funcnames_.push_back(expr); |
---|
| 179 | funccomponents_.push_back(3); |
---|
| 180 | } |
---|
| 181 | } else if (expr == "poly") { |
---|
| 182 | funcs_.resize(1); |
---|
| 183 | funcnames_.clear(); |
---|
| 184 | funccomponents_.clear(); |
---|
| 185 | funcs_[0] = new Polynomial<Float>(ncomp); |
---|
| 186 | funcnames_.push_back(expr); |
---|
| 187 | funccomponents_.push_back(ncomp); |
---|
[517] | 188 | } else { |
---|
[1819] | 189 | LogIO os( LogOrigin( "Fitter", "setExpression()", WHERE ) ) ; |
---|
| 190 | os << LogIO::WARN << " compiled functions not yet implemented" << LogIO::POST; |
---|
[517] | 191 | //funcs_.resize(1); |
---|
| 192 | //funcs_[0] = new CompiledFunction<Float>(); |
---|
| 193 | //funcs_[0]->setFunction(String(expr)); |
---|
| 194 | return false; |
---|
| 195 | } |
---|
| 196 | return true; |
---|
[91] | 197 | } |
---|
| 198 | |
---|
[890] | 199 | bool Fitter::setData(std::vector<float> absc, std::vector<float> spec, |
---|
[91] | 200 | std::vector<bool> mask) |
---|
| 201 | { |
---|
| 202 | x_.resize(); |
---|
| 203 | y_.resize(); |
---|
| 204 | m_.resize(); |
---|
| 205 | // convert std::vector to casa Vector |
---|
| 206 | Vector<Float> tmpx(absc); |
---|
| 207 | Vector<Float> tmpy(spec); |
---|
| 208 | Vector<Bool> tmpm(mask); |
---|
| 209 | AlwaysAssert(tmpx.nelements() == tmpy.nelements(), AipsError); |
---|
| 210 | x_ = tmpx; |
---|
| 211 | y_ = tmpy; |
---|
| 212 | m_ = tmpm; |
---|
| 213 | return true; |
---|
| 214 | } |
---|
| 215 | |
---|
[890] | 216 | std::vector<float> Fitter::getResidual() const |
---|
[91] | 217 | { |
---|
| 218 | if (residual_.nelements() == 0) |
---|
| 219 | throw (AipsError("Function not yet fitted.")); |
---|
| 220 | std::vector<float> stlout; |
---|
| 221 | residual_.tovector(stlout); |
---|
| 222 | return stlout; |
---|
| 223 | } |
---|
| 224 | |
---|
[890] | 225 | std::vector<float> Fitter::getFit() const |
---|
[91] | 226 | { |
---|
| 227 | Vector<Float> out = thefit_; |
---|
| 228 | std::vector<float> stlout; |
---|
| 229 | out.tovector(stlout); |
---|
| 230 | return stlout; |
---|
| 231 | |
---|
| 232 | } |
---|
| 233 | |
---|
[890] | 234 | std::vector<float> Fitter::getErrors() const |
---|
[91] | 235 | { |
---|
| 236 | Vector<Float> out = error_; |
---|
| 237 | std::vector<float> stlout; |
---|
| 238 | out.tovector(stlout); |
---|
| 239 | return stlout; |
---|
| 240 | } |
---|
| 241 | |
---|
[890] | 242 | bool Fitter::setParameters(std::vector<float> params) |
---|
[91] | 243 | { |
---|
| 244 | Vector<Float> tmppar(params); |
---|
| 245 | if (funcs_.nelements() == 0) |
---|
| 246 | throw (AipsError("Function not yet set.")); |
---|
| 247 | if (parameters_.nelements() > 0 && tmppar.nelements() != parameters_.nelements()) |
---|
| 248 | throw (AipsError("Number of parameters inconsistent with function.")); |
---|
[1232] | 249 | if (parameters_.nelements() == 0) { |
---|
[91] | 250 | parameters_.resize(tmppar.nelements()); |
---|
[1232] | 251 | if (tmppar.nelements() != fixedpar_.nelements()) { |
---|
| 252 | fixedpar_.resize(tmppar.nelements()); |
---|
| 253 | fixedpar_ = False; |
---|
| 254 | } |
---|
| 255 | } |
---|
[91] | 256 | if (dynamic_cast<Gaussian1D<Float>* >(funcs_[0]) != 0) { |
---|
| 257 | uInt count = 0; |
---|
| 258 | for (uInt j=0; j < funcs_.nelements(); ++j) { |
---|
| 259 | for (uInt i=0; i < funcs_[j]->nparameters(); ++i) { |
---|
| 260 | (funcs_[j]->parameters())[i] = tmppar[count]; |
---|
| 261 | parameters_[count] = tmppar[count]; |
---|
| 262 | ++count; |
---|
| 263 | } |
---|
| 264 | } |
---|
[1819] | 265 | } else if (dynamic_cast<Lorentzian1D<Float>* >(funcs_[0]) != 0) { |
---|
| 266 | uInt count = 0; |
---|
| 267 | for (uInt j=0; j < funcs_.nelements(); ++j) { |
---|
| 268 | for (uInt i=0; i < funcs_[j]->nparameters(); ++i) { |
---|
| 269 | (funcs_[j]->parameters())[i] = tmppar[count]; |
---|
| 270 | parameters_[count] = tmppar[count]; |
---|
| 271 | ++count; |
---|
| 272 | } |
---|
| 273 | } |
---|
[2047] | 274 | } else if (dynamic_cast<Sinusoid1D<Float>* >(funcs_[0]) != 0) { |
---|
| 275 | uInt count = 0; |
---|
| 276 | for (uInt j=0; j < funcs_.nelements(); ++j) { |
---|
| 277 | for (uInt i=0; i < funcs_[j]->nparameters(); ++i) { |
---|
| 278 | (funcs_[j]->parameters())[i] = tmppar[count]; |
---|
| 279 | parameters_[count] = tmppar[count]; |
---|
| 280 | ++count; |
---|
| 281 | } |
---|
| 282 | } |
---|
| 283 | } else if (dynamic_cast<Polynomial<Float>* >(funcs_[0]) != 0) { |
---|
| 284 | for (uInt i=0; i < funcs_[0]->nparameters(); ++i) { |
---|
| 285 | parameters_[i] = tmppar[i]; |
---|
| 286 | (funcs_[0]->parameters())[i] = tmppar[i]; |
---|
| 287 | } |
---|
[91] | 288 | } |
---|
[1232] | 289 | // reset |
---|
| 290 | if (params.size() == 0) { |
---|
| 291 | parameters_.resize(); |
---|
| 292 | fixedpar_.resize(); |
---|
| 293 | } |
---|
[91] | 294 | return true; |
---|
| 295 | } |
---|
| 296 | |
---|
[2666] | 297 | void Fitter::addConstraint(const std::vector<float>& constraint) |
---|
| 298 | { |
---|
| 299 | if (funcs_.nelements() == 0) |
---|
| 300 | throw (AipsError("Function not yet set.")); |
---|
| 301 | constraints_.push_back(constraint); |
---|
| 302 | |
---|
| 303 | } |
---|
| 304 | |
---|
| 305 | void Fitter::applyConstraints(GenericL2Fit<Float>& fitter) |
---|
| 306 | { |
---|
| 307 | std::vector<std::vector<float> >::const_iterator it; |
---|
| 308 | for (it = constraints_.begin(); it != constraints_.end(); ++it) { |
---|
| 309 | Vector<Float> tmp(*it); |
---|
| 310 | fitter.addConstraint(tmp(Slice(0,tmp.nelements()-1)), |
---|
| 311 | tmp(tmp.nelements()-1)); |
---|
| 312 | } |
---|
| 313 | } |
---|
| 314 | |
---|
[890] | 315 | bool Fitter::setFixedParameters(std::vector<bool> fixed) |
---|
[91] | 316 | { |
---|
| 317 | if (funcs_.nelements() == 0) |
---|
| 318 | throw (AipsError("Function not yet set.")); |
---|
[1232] | 319 | if (fixedpar_.nelements() > 0 && fixed.size() != fixedpar_.nelements()) |
---|
[91] | 320 | throw (AipsError("Number of mask elements inconsistent with function.")); |
---|
[1232] | 321 | if (fixedpar_.nelements() == 0) { |
---|
| 322 | fixedpar_.resize(parameters_.nelements()); |
---|
| 323 | fixedpar_ = False; |
---|
| 324 | } |
---|
[91] | 325 | if (dynamic_cast<Gaussian1D<Float>* >(funcs_[0]) != 0) { |
---|
| 326 | uInt count = 0; |
---|
| 327 | for (uInt j=0; j < funcs_.nelements(); ++j) { |
---|
| 328 | for (uInt i=0; i < funcs_[j]->nparameters(); ++i) { |
---|
[1232] | 329 | funcs_[j]->mask(i) = !fixed[count]; |
---|
| 330 | fixedpar_[count] = fixed[count]; |
---|
[91] | 331 | ++count; |
---|
| 332 | } |
---|
| 333 | } |
---|
[1819] | 334 | } else if (dynamic_cast<Lorentzian1D<Float>* >(funcs_[0]) != 0) { |
---|
| 335 | uInt count = 0; |
---|
| 336 | for (uInt j=0; j < funcs_.nelements(); ++j) { |
---|
| 337 | for (uInt i=0; i < funcs_[j]->nparameters(); ++i) { |
---|
| 338 | funcs_[j]->mask(i) = !fixed[count]; |
---|
| 339 | fixedpar_[count] = fixed[count]; |
---|
| 340 | ++count; |
---|
| 341 | } |
---|
| 342 | } |
---|
[2047] | 343 | } else if (dynamic_cast<Sinusoid1D<Float>* >(funcs_[0]) != 0) { |
---|
| 344 | uInt count = 0; |
---|
| 345 | for (uInt j=0; j < funcs_.nelements(); ++j) { |
---|
| 346 | for (uInt i=0; i < funcs_[j]->nparameters(); ++i) { |
---|
| 347 | funcs_[j]->mask(i) = !fixed[count]; |
---|
| 348 | fixedpar_[count] = fixed[count]; |
---|
| 349 | ++count; |
---|
| 350 | } |
---|
| 351 | } |
---|
| 352 | } else if (dynamic_cast<Polynomial<Float>* >(funcs_[0]) != 0) { |
---|
| 353 | for (uInt i=0; i < funcs_[0]->nparameters(); ++i) { |
---|
| 354 | fixedpar_[i] = fixed[i]; |
---|
| 355 | funcs_[0]->mask(i) = !fixed[i]; |
---|
| 356 | } |
---|
[91] | 357 | } |
---|
| 358 | return true; |
---|
| 359 | } |
---|
| 360 | |
---|
[890] | 361 | std::vector<float> Fitter::getParameters() const { |
---|
[91] | 362 | Vector<Float> out = parameters_; |
---|
| 363 | std::vector<float> stlout; |
---|
| 364 | out.tovector(stlout); |
---|
| 365 | return stlout; |
---|
| 366 | } |
---|
| 367 | |
---|
[890] | 368 | std::vector<bool> Fitter::getFixedParameters() const { |
---|
[108] | 369 | Vector<Bool> out(parameters_.nelements()); |
---|
| 370 | if (fixedpar_.nelements() == 0) { |
---|
[1232] | 371 | return std::vector<bool>(); |
---|
[108] | 372 | //throw (AipsError("No parameter mask set.")); |
---|
| 373 | } else { |
---|
| 374 | out = fixedpar_; |
---|
| 375 | } |
---|
| 376 | std::vector<bool> stlout; |
---|
| 377 | out.tovector(stlout); |
---|
| 378 | return stlout; |
---|
[91] | 379 | } |
---|
| 380 | |
---|
[890] | 381 | float Fitter::getChisquared() const { |
---|
[91] | 382 | return chisquared_; |
---|
| 383 | } |
---|
| 384 | |
---|
[890] | 385 | bool Fitter::fit() { |
---|
[517] | 386 | NonLinearFitLM<Float> fitter; |
---|
| 387 | CompoundFunction<Float> func; |
---|
[612] | 388 | |
---|
| 389 | uInt n = funcs_.nelements(); |
---|
[517] | 390 | for (uInt i=0; i<n; ++i) { |
---|
| 391 | func.addFunction(*funcs_[i]); |
---|
| 392 | } |
---|
[612] | 393 | |
---|
[517] | 394 | fitter.setFunction(func); |
---|
| 395 | fitter.setMaxIter(50+n*10); |
---|
| 396 | // Convergence criterium |
---|
| 397 | fitter.setCriteria(0.001); |
---|
[2666] | 398 | applyConstraints(fitter); |
---|
[612] | 399 | |
---|
[517] | 400 | // Fit |
---|
[2580] | 401 | // Vector<Float> sigma(x_.nelements()); |
---|
| 402 | // sigma = 1.0; |
---|
[890] | 403 | |
---|
[517] | 404 | parameters_.resize(); |
---|
[2580] | 405 | // parameters_ = fitter.fit(x_, y_, sigma, &m_); |
---|
| 406 | parameters_ = fitter.fit(x_, y_, &m_); |
---|
[1067] | 407 | if ( !fitter.converged() ) { |
---|
| 408 | return false; |
---|
| 409 | } |
---|
[517] | 410 | std::vector<float> ps; |
---|
| 411 | parameters_.tovector(ps); |
---|
| 412 | setParameters(ps); |
---|
[612] | 413 | |
---|
[517] | 414 | error_.resize(); |
---|
| 415 | error_ = fitter.errors(); |
---|
[612] | 416 | |
---|
[517] | 417 | chisquared_ = fitter.getChi2(); |
---|
[890] | 418 | |
---|
[517] | 419 | // use fitter.residual(model=True) to get the model |
---|
| 420 | thefit_.resize(x_.nelements()); |
---|
| 421 | fitter.residual(thefit_,x_,True); |
---|
[2580] | 422 | residual_.resize(x_.nelements()); |
---|
| 423 | residual_ = y_ - thefit_ ; |
---|
[517] | 424 | return true; |
---|
| 425 | } |
---|
[483] | 426 | |
---|
[1391] | 427 | bool Fitter::lfit() { |
---|
| 428 | LinearFit<Float> fitter; |
---|
| 429 | CompoundFunction<Float> func; |
---|
[483] | 430 | |
---|
[1391] | 431 | uInt n = funcs_.nelements(); |
---|
| 432 | for (uInt i=0; i<n; ++i) { |
---|
| 433 | func.addFunction(*funcs_[i]); |
---|
| 434 | } |
---|
| 435 | |
---|
| 436 | fitter.setFunction(func); |
---|
[2666] | 437 | applyConstraints(fitter); |
---|
[1391] | 438 | |
---|
| 439 | parameters_.resize(); |
---|
[2580] | 440 | parameters_ = fitter.fit(x_, y_, &m_); |
---|
[1391] | 441 | std::vector<float> ps; |
---|
| 442 | parameters_.tovector(ps); |
---|
| 443 | setParameters(ps); |
---|
| 444 | |
---|
| 445 | error_.resize(); |
---|
| 446 | error_ = fitter.errors(); |
---|
| 447 | |
---|
| 448 | chisquared_ = fitter.getChi2(); |
---|
| 449 | |
---|
| 450 | thefit_.resize(x_.nelements()); |
---|
| 451 | fitter.residual(thefit_,x_,True); |
---|
[2580] | 452 | residual_.resize(x_.nelements()); |
---|
| 453 | residual_ = y_ - thefit_ ; |
---|
[1391] | 454 | return true; |
---|
| 455 | } |
---|
| 456 | |
---|
[890] | 457 | std::vector<float> Fitter::evaluate(int whichComp) const |
---|
| 458 | { |
---|
[517] | 459 | std::vector<float> stlout; |
---|
[890] | 460 | uInt idx = uInt(whichComp); |
---|
[517] | 461 | Float y; |
---|
| 462 | if ( idx < funcs_.nelements() ) { |
---|
| 463 | for (uInt i=0; i<x_.nelements(); ++i) { |
---|
| 464 | y = (*funcs_[idx])(x_[i]); |
---|
| 465 | stlout.push_back(float(y)); |
---|
| 466 | } |
---|
| 467 | } |
---|
| 468 | return stlout; |
---|
| 469 | } |
---|
[483] | 470 | |
---|
[1932] | 471 | STFitEntry Fitter::getFitEntry() const |
---|
| 472 | { |
---|
| 473 | STFitEntry fit; |
---|
| 474 | fit.setParameters(getParameters()); |
---|
| 475 | fit.setErrors(getErrors()); |
---|
| 476 | fit.setComponents(funccomponents_); |
---|
| 477 | fit.setFunctions(funcnames_); |
---|
| 478 | fit.setParmasks(getFixedParameters()); |
---|
| 479 | return fit; |
---|
| 480 | } |
---|