AliRoot Core  3dc7879 (3dc7879)
TKDInterpolatorBase.cxx
Go to the documentation of this file.
1 #include "TKDInterpolatorBase.h"
2 #include "TKDNodeInfo.h"
3 #include "TKDTree.h"
4 
5 #include "TROOT.h"
6 #include "TClonesArray.h"
7 #include "TLinearFitter.h"
8 #include "TTree.h"
9 #include "TH2.h"
10 #include "TObjArray.h"
11 #include "TObjString.h"
12 #include "TMath.h"
13 #include "TVectorD.h"
14 #include "TMatrixD.h"
15 
16 ClassImp(TKDInterpolatorBase)
17 
18 // Memory setup of protected data members
20 // fRefPoints : evaluation point of PDF for each terminal node of underlying KD Tree.
21 // | 1st terminal node (fNDim point coordinates) | 2nd terminal node (fNDim point coordinates) | ...
22 //
23 // fRefValues : evaluation value/error of PDF for each terminal node of underlying KD Tree.
24 // | 1st terminal node (value) | 2nd terminal node (value) | ... | 1st terminal node (error) | 2nd terminal node (error) | ...
25 //
26 // status = |0|0|0|0|0|1(tri-cubic weights)|1(STORE)|1 INT(0 COG )|
28 
29 
30 //_________________________________________________________________
32  fNSize(dim)
33  ,fNodes(NULL)
34  ,fNodesDraw(NULL)
35  ,fStatus(0)
36  ,fLambda(1 + dim + (dim*(dim+1)>>1))
37  ,fDepth(-1)
38  ,fAlpha(.5)
39  ,fRefPoints(NULL)
40  ,fBuffer(NULL)
41  ,fKDhelper(NULL)
42  ,fFitter(NULL)
43 {
44 // Default constructor. To be used with care since in this case building
45 // of data structure is completly left to the user responsability.
46  UseWeights();
47 }
48 
49 //_________________________________________________________________
51 {
52  // allocate memory for data
53  if(Int_t((1.+fAlpha)*fLambda) > n){ // check granularity
54  Error("TKDInterpolatorBase::Build()", "Minimum number of points [%d] needed for interpolation exceeds number of evaluation points [%d]. Please increase granularity.", Int_t((1.+fAlpha)*fLambda), n);
55  return kFALSE;
56  }
57 
58  if(fNodes){
59  Warning("TKDInterpolatorBase::Build()", "Data already allocated.");
60  fNodes->Delete();
61  } else {
62  fNodes = new TClonesArray("TKDNodeInfo", n);
63  fNodes->SetOwner();
64  }
65 
66  for(int in=0; in<n; in++) new ((*fNodes)[in]) TKDNodeInfo(fNSize);
67 
68  return kTRUE;
69 }
70 
71 //_________________________________________________________________
73 {
74  if(!fNodes){
75  Error("TKDInterpolatorBase::Bootstrap()", "Nodes missing. Nothing to bootstrap from.");
76  return kFALSE;
77  }
78  Int_t in = GetNTNodes(); TKDNodeInfo *n(NULL);
79  while(in--){
80  if(!(n=(TKDNodeInfo*)(*fNodes)[in])){
81  Error("TKDInterpolatorBase::Bootstrap()", "Node @ %d missing.", in);
82  return kFALSE;
83  }
84  n->Bootstrap();
85  if(!fNSize) fNSize = n->GetDimension();
86  //n->SetNode(fNSize, ...);
87  }
88  fLambda = n->GetNpar();
89  return kTRUE;
90 }
91 
92 //_________________________________________________________________
94 {
95  if(fFitter) delete fFitter;
96  if(fKDhelper) delete fKDhelper;
97  if(fBuffer) delete [] fBuffer;
98 
99  if(fRefPoints){
100  for(int idim=0; idim<fNSize; idim++) delete [] fRefPoints[idim] ;
101  delete [] fRefPoints;
102  }
103  if(fNodes){
104  fNodes->Delete();
105  delete fNodes;
106  }
107  if(fNodesDraw) delete [] fNodesDraw;
108 
109  TH2 *h2=NULL;
110  if((h2 = (TH2S*)gROOT->FindObject("hKDnodes"))) delete h2;
111 }
112 
113 
114 //__________________________________________________________________
115 Bool_t TKDInterpolatorBase::GetCOGPoint(Int_t inode, Float_t *&coord, Float_t &val, Float_t &err) const
116 {
117  if(inode < 0 || inode > GetNTNodes()) return kFALSE;
118 
119  TKDNodeInfo *node = (TKDNodeInfo*)(*fNodes)[inode];
120  coord = &(node->Data()[0]);
121  val = node->Val()[0];
122  err = node->Val()[1];
123  return kTRUE;
124 }
125 
126 //_________________________________________________________________
128 {
129  if(!fNodes || inode >= GetNTNodes()) return NULL;
130  return (TKDNodeInfo*)(*fNodes)[inode];
131 }
132 
133 //_________________________________________________________________
135 {
136  return fNodes?fNodes->GetEntriesFast():0;
137 }
138 
139 //_________________________________________________________________
140 Bool_t TKDInterpolatorBase::GetRange(Int_t ax, Float_t &min, Float_t &max) const
141 {
142  if(!fNodes) return kFALSE;
143  Int_t ndim = ((TKDNodeInfo*)(*fNodes)[0])->GetDimension();
144  if(ax<0 || ax>=ndim){
145  min=0.; max=0.;
146  return kFALSE;
147  }
148  min=1.e10; max=-1.e10;
149  Float_t axmin, axmax;
150  for(Int_t in=GetNTNodes(); in--; ){
151  TKDNodeInfo *node = (TKDNodeInfo*)((*fNodes)[in]);
152  node->GetBoundary(ax, axmin, axmax);
153  if(axmin<min) min = axmin;
154  if(axmax>max) max = axmax;
155  }
156 
157  return kTRUE;
158 }
159 
160 //__________________________________________________________________
162 {
163 // Prints the status of the interpolator
164 
165  printf("Interpolator Status[%d] :\n", fStatus);
166  printf(" Dim : %d [%d]\n", fNSize, fLambda);
167  printf(" Method : %s\n", UseCOG() ? "COG" : "INT");
168  printf(" Store : %s\n", HasStore() ? "YES" : "NO");
169  printf(" Weights: %s\n", UseWeights() ? "YES" : "NO");
170 
171  if(strcmp(opt, "all") != 0 ) return;
172  printf("GetNTNodes() %d\n", GetNTNodes()); //Number of evaluation data points
173  for(int i=0; i<GetNTNodes(); i++){
174  TKDNodeInfo *node = (TKDNodeInfo*)(*fNodes)[i];
175  printf("%d ", i); node->Print();
176  }
177 }
178 
179 //_________________________________________________________________
180 Double_t TKDInterpolatorBase::Eval(const Double_t *point, Double_t &result, Double_t &error, Bool_t force)
181 {
182 // Evaluate PDF for "point". The result is returned in "result" and error in "error". The function returns the chi2 of the fit.
183 //
184 // Observations:
185 //
186 // 1. The default method used for interpolation is kCOG.
187 // 2. The initial number of neighbors used for the estimation is set to Int(alpha*fLambda) (alpha = 1.5)
188 
189  Float_t pointF[50]; // local Float_t conversion for "point"
190  for(int idim=0; idim<fNSize; idim++) pointF[idim] = (Float_t)point[idim];
191  Int_t nodeIndex = GetNodeIndex(pointF);
192  if(nodeIndex<0){
193  Error("TKDInterpolatorBase::Eval()", "Can not retrive node for data point.");
194  result = 0.;
195  error = 1.E10;
196  return 0.;
197  }
198  TKDNodeInfo *node = (TKDNodeInfo*)(*fNodes)[nodeIndex];
199  if(node->Par() && !force){
200  //printf("Node @ %d\n", nodeIndex); node->Print("a");
201  return node->CookPDF(point, result, error);
202  }
203 
204  // Allocate memory
205  if(!fBuffer) fBuffer = new Double_t[2*fLambda];
206  if(!fKDhelper){
207  fRefPoints = new Float_t*[fNSize];
208  for(int id=0; id<fNSize; id++){
209  fRefPoints[id] = new Float_t[GetNTNodes()];
210  for(int in=0; in<GetNTNodes(); in++) fRefPoints[id][in] = ((TKDNodeInfo*)(*fNodes)[in])->Data()[id];
211  }
212  Info("TKDInterpolatorBase::Eval()", "Build TKDTree(%d, %d, %d)", GetNTNodes(), fNSize, kNhelper);
213  fKDhelper = new TKDTreeIF(GetNTNodes(), fNSize, kNhelper, fRefPoints);
214  fKDhelper->Build();
215  fKDhelper->MakeBoundariesExact();
216  }
217  if(!fFitter) fFitter = new TLinearFitter(fLambda, Form("hyp%d", fLambda-1));
218 
219  // generate parabolic for nD
220  //Float_t alpha = Float_t(2*lambda + 1) / GetNTNodes(); // the bandwidth or smoothing parameter
221  //Int_t npoints = Int_t(alpha * GetNTNodes());
222  //printf("Params : %d NPoints %d\n", lambda, npoints);
223  // prepare workers
224 
225  Int_t ipar, // local looping variable
226  npoints_new = Int_t((1.+fAlpha)*fLambda),
227  npoints(0); // number of data points used for interpolation
228  Int_t *index = new Int_t[2*npoints_new]; // indexes of NN
229  Float_t *dist = new Float_t[2*npoints_new], // distances of NN
230  d, // NN normalized distance
231  w0, // work
232  w; // tri-cubic weight function
233 
234  Bool_t kDOWN = kFALSE;
235  do{
236  if(npoints){
237  Info("TKDInterpolatorBase::Eval()", "Interpolation failed. Trying to increase the number of interpolation points from %d to %d.", npoints, npoints_new);
238  }
239  if(npoints == npoints_new){
240  Error("TKDInterpolatorBase::Eval()", "Interpolation failed and number of interpolation points (%d) Can not be increased further.", npoints);
241  result = 0.;
242  error = 1.E10;
243  // clean memory
244  delete [] dist; delete [] index;
245  return 0.;
246  } else npoints = npoints_new;
247  if(npoints > GetNTNodes()){
248  Warning("TKDInterpolatorBase::Eval()", "The number of interpolation points requested (%d) exceeds number of PDF values (%d). Downscale.", npoints, GetNTNodes());
249  npoints = GetNTNodes();
250  kDOWN = kTRUE;
251  }
252 
253  // find nearest neighbors
254  for(int idim=0; idim<fNSize; idim++) pointF[idim] = (Float_t)point[idim];
255  fKDhelper->FindNearestNeighbors(pointF, npoints+1, index, dist);
256 
257  // add points to fitter
258  fFitter->ClearPoints();
259  TKDNodeInfo *tnode = NULL;
260  for(int in=0; in<npoints; in++){
261  tnode = (TKDNodeInfo*)(*fNodes)[index[in]];
262  //tnode->Print();
263  if(UseCOG()){ // COG
264  Float_t *p = &(tnode->Data()[0]);
265  ipar = 0;
266  for(int idim=0; idim<fNSize; idim++){
267  fBuffer[ipar++] = p[idim];
268  for(int jdim=idim; jdim<fNSize; jdim++) fBuffer[ipar++] = p[idim]*p[jdim];
269  }
270  } else { // INT
271  Float_t *bounds = &(tnode->Data()[fNSize]);
272  ipar = 0;
273  for(int idim=0; idim<fNSize; idim++){
274  fBuffer[ipar++] = .5*(bounds[2*idim] + bounds[2*idim+1]);
275  fBuffer[ipar++] = (bounds[2*idim]*bounds[2*idim] + bounds[2*idim] * bounds[2*idim+1] + bounds[2*idim+1] * bounds[2*idim+1])/3.;
276  for(int jdim=idim+1; jdim<fNSize; jdim++) fBuffer[ipar++] = (bounds[2*idim] + bounds[2*idim+1]) * (bounds[2*jdim] + bounds[2*jdim+1]) * .25;
277  }
278  }
279 
280  // calculate tri-cubic weighting function
281  if(UseWeights()){
282  d = dist[in]/dist[npoints];
283  w0 = (1. - d*d*d); w = w0*w0*w0;
284  if(w<1.e-30) continue;
285  } else w = 1.;
286 
287 // printf("%2d d[%f] w[%f] x[", index[in], d, w);
288 // for(int idim=0; idim<fLambda-1; idim++) printf("%f ", fBuffer[idim]);
289 // printf("]\n"); printf("v[%f +- %f] (%f, %f)\n", tnode->Val()[0], tnode->Val()[1]/w, tnode->Val()[1], w);
290  fFitter->AddPoint(fBuffer, tnode->Val()[0], tnode->Val()[1]/w);
291  }
292  npoints_new = npoints+ (kDOWN ? 0 : kdN);
293  } while(fFitter->Eval());
294  delete [] index;
295  delete [] dist;
296 
297  // retrive fitter results
298  TMatrixD cov(fLambda, fLambda);
299  TVectorD par(fLambda);
300  fFitter->GetCovarianceMatrix(cov);
301  fFitter->GetParameters(par);
302  Double_t chi2 = fFitter->GetChisquare()/(npoints - 4 - fLambda);
303 
304  // store results
305  node->Store(&par, HasStore()?&cov:NULL);
306 
307  // Build df/dpi|x values
308  Double_t *fdfdp = &fBuffer[fLambda];
309  ipar = 0;
310  fdfdp[ipar++] = 1.;
311  for(int idim=0; idim<fNSize; idim++){
312  fdfdp[ipar++] = point[idim];
313  for(int jdim=idim; jdim<fNSize; jdim++) fdfdp[ipar++] = point[idim]*point[jdim];
314  }
315 
316  // calculate estimation
317  result =0.; error = 0.;
318  for(int i=0; i<fLambda; i++){
319  result += fdfdp[i]*par(i);
320  for(int j=0; j<fLambda; j++) error += fdfdp[i]*fdfdp[j]*cov(i,j);
321  }
322  error = TMath::Sqrt(error);
323  return chi2;
324 }
325 
326 //_________________________________________________________________
327 void TKDInterpolatorBase::DrawProjection(UInt_t ax1, UInt_t ax2)
328 {
329 // Draw nodes structure projected on plane "ax1:ax2". The parameter
330 // "depth" specifies the bucket size per node. If depth == -1 draw only
331 // terminal nodes and evaluation points (default -1 i.e. bucket size per node equal bucket size specified by the user)
332 //
333 
334  Float_t ax1min, ax1max, ax2min, ax2max;
335  GetRange(ax1, ax1min, ax1max);
336  GetRange(ax2, ax2min, ax2max);
337  TH2 *h2 = NULL;
338  if(!(h2 = (TH2S*)gROOT->FindObject("hKDnodes"))){
339  h2 = new TH2S("hKDnodes", "", 100, ax1min, ax1max, 100, ax2min, ax2max);
340  }
341  h2->GetXaxis()->SetRangeUser(ax1min, ax1max);
342  h2->GetXaxis()->SetTitle(Form("x_{%d}", ax1));
343  h2->GetYaxis()->SetRangeUser(ax2min, ax2max);
344  h2->GetYaxis()->SetTitle(Form("x_{%d}", ax2));
345  h2->Draw();
346 
347 
349  TKDNodeInfo::TKDNodeDraw *box = NULL;
350  for(Int_t in=GetNTNodes(); in--; ){
351  box = &(fNodesDraw[in]);
352  box->SetNode((TKDNodeInfo*)((*fNodes)[in]), fNSize, ax1, ax2);
353  box->Draw();
354  }
355 
356  return;
357 }
358 
359 //_________________________________________________________________
361 {
362  if(a<0.5){
363  Warning("TKDInterpolatorBase::SetAlpha()", "The scale parameter has to be larger than 0.5");
364  fAlpha = 0.5;
365  return;
366  }
367  // check value
368  if(Int_t((a+1.)*fLambda) > GetNTNodes()){
369  fAlpha = TMath::Max(0.5, Float_t(GetNTNodes())/fLambda-1.);
370  Warning("TKDInterpolatorBase::SetAlpha()", "Interpolation neighborhood exceeds number of evaluation points. Downscale alpha to %f", fAlpha);
371  //printf("n[%d] nodes[%d]\n", Int_t((fAlpha+1.)*fLambda), GetNTNodes());
372  return;
373  }
374  fAlpha = a;
375  return;
376 }
377 
void SetNode(TKDNodeInfo *, UChar_t s, UChar_t ax1=0, UChar_t ax2=1)
printf("Chi2/npoints = %f\n", TMath::Sqrt(chi2/npoints))
void DrawProjection(UInt_t ax1=0, UInt_t ax2=1)
Int_t GetNpar() const
Definition: TKDNodeInfo.h:59
virtual Int_t GetNodeIndex(const Float_t *p)=0
Bool_t GetCOGPoint(Int_t node, Float_t *&coord, Float_t &val, Float_t &error) const
void GetBoundary(Int_t ax, Float_t &min, Float_t &max) const
Definition: TKDNodeInfo.h:103
TROOT * gROOT
Float_t p[]
Definition: kNNTest.C:133
Bool_t UseWeights() const
void Bootstrap()
TKDNodeInfo::TKDNodeDraw * fNodesDraw
npoints
Definition: driftITSTPC.C:85
Bool_t UseCOG() const
UChar_t fStatus
graphical representation of interpolation nodes
virtual Bool_t Build(Int_t nnodes)
TKDTree< Int_t, Float_t > * fKDhelper
working space [2*fLambda]
Float_t * Val()
Definition: TKDNodeInfo.h:74
TClonesArray * fNodes
data dimension
TLinearFitter * fFitter
kNN finder
Double_t chi2
Definition: AnalyzeLaser.C:7
void Print(const Option_t *="") const
Bool_t GetRange(Int_t ax, Float_t &min, Float_t &max) const
TKDNodeInfo * GetNodeInfo(Int_t inode) const
Double_t * Par() const
Definition: TKDNodeInfo.h:65
void GetStatus(Option_t *opt="")
Float_t * Data()
Definition: TKDNodeInfo.h:73
Float_t fAlpha
depth of the KD Tree structure used
Int_t GetDimension() const
Definition: TKDNodeInfo.h:55
Bool_t HasStore() const
class TKDTree< Int_t, Float_t > TKDTreeIF
Double_t * fBuffer
temporary storage of COG data
void Store(TVectorD const *par, TMatrixD const *cov=NULL)
Double_t Eval(const Double_t *point, Double_t &result, Double_t &error, Bool_t force=kFALSE)
Bool_t CookPDF(const Double_t *point, Double_t &result, Double_t &error) const
void Draw(Option_t *option="")