Logo ROOT   6.14/05
Reference Guide
network.cxx
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1 #include "TMVA/network.h"
2 #include <iostream>
3 
4 #include "TArrow.h"
5 #include "TEllipse.h"
6 #include "TPaveLabel.h"
7 #include "TCanvas.h"
8 #include "TH2F.h"
9 #include "TFile.h"
10 #include "TString.h"
11 #include "TDirectory.h"
12 #include "TKey.h"
13 #include "TText.h"
14 
15 using std::cout;
16 using std::endl;
17 
18 
19 // this macro prints out a neural network generated by MethodMLP graphically
20 // @author: Matt Jachowski, jachowski@stanford.edu
21 
23 
24 static Int_t c_DarkBackground = TColor::GetColor( "#6e7a85" );
25 
26 
28 
29 void TMVA::draw_network(TString dataset, TFile* f, TDirectory* d, const TString& hName,
30  Bool_t movieMode , const TString& epoch )
31 {
32  Bool_t __PRINT_LOGO__ = kTRUE;
33  Network_GFile = f;
34 
35  MovieMode = movieMode;
36  if (MovieMode) c_DarkBackground = TColor::GetColor( "#707F7F" );
37 
38  // create canvas
39  TStyle* TMVAStyle = gROOT->GetStyle("TMVA"); // the TMVA style
40  Int_t canvasColor = TMVAStyle->GetCanvasColor(); // backup
41  TMVAStyle->SetCanvasColor( c_DarkBackground );
42 
43  Int_t titleFillColor = TMVAStyle->GetTitleFillColor();
44  Int_t titleTextColor = TMVAStyle->GetTitleTextColor();
45  Int_t borderSize = TMVAStyle->GetTitleBorderSize();
46 
47  TMVAStyle->SetTitleFillColor( c_DarkBackground );
48  TMVAStyle->SetTitleTextColor( TColor::GetColor( "#FFFFFF" ) );
49  TMVAStyle->SetTitleBorderSize( 0 );
50 
51  static Int_t icanvas = -1;
52  Int_t ixc = 100 + (icanvas)*40;
53  Int_t iyc = 0 + (icanvas+1)*20;
54  if (MovieMode) ixc = iyc = 0;
55  TString canvasnumber = Form( "c%i", icanvas );
56  TString canvastitle = Form("Neural Network Layout for: %s", d->GetName());
57  TCanvas* c = new TCanvas( canvasnumber, canvastitle,
58  ixc, 0 + (icanvas+1)*20, 1000, 650 );
59  icanvas++;
60  TIter next = d->GetListOfKeys();
61  TKey *key( 0 );
62  Int_t numHists = 0;
63 
64  // loop over all histograms with hName in name again
65  next.Reset();
66  Double_t maxWeight = 0;
67  // find max weight
68  while ((key = (TKey*)next())) {
69 
70  TClass *cl = gROOT->GetClass(key->GetClassName());
71  if (!cl->InheritsFrom("TH2F"))
72  {
73  continue;
74  }else
75  {
76  std::cout<<key->GetClassName()<<"----"<<cl->InheritsFrom("TH2F")<<"----"<<hName<<std::endl;
77  }
78 
79  TH2F* h = (TH2F*)key->ReadObj();
80  if (!h) {
81  cout << "Big troubles in \"draw_network\" (1)" << endl;
82  exit(1);
83  }
84  std::cout<<h->GetName()<<"----"<<hName<<std::endl;
85  if (TString(h->GetName()).Contains( hName )){
86  numHists++;
87 
88  Int_t n1 = h->GetNbinsX();
89  Int_t n2 = h->GetNbinsY();
90  for (Int_t i = 0; i < n1; i++) {
91  for (Int_t j = 0; j < n2; j++) {
92  Double_t weight = TMath::Abs(h->GetBinContent(i+1, j+1));
93  if (maxWeight < weight) maxWeight = weight;
94  }
95  }
96  }
97  }
98  if (numHists == 0) {
99  cout << "Error: could not find histograms" << endl;
100  //exit(1);
101  }
102 
103  // draw network
104  next.Reset();
105  //cout << "check4a" << endl;
106 
107  Int_t count = 0;
108  while ((key = (TKey*)next())) {
109  //cout << "check4b" << endl;
110 
111  TClass *cl = gROOT->GetClass(key->GetClassName());
112  if (!cl->InheritsFrom("TH2F")) continue;
113  //cout << "check4c" << endl;
114 
115  TH2F* h = (TH2F*)key->ReadObj();
116  //cout << (h->GetName()) << endl;
117  if (!h) {
118  cout << "Big troubles in \"draw_network\" (2)" << endl;
119  exit(1);
120  }
121  //cout << (h->GetName()) << endl;
122  if (TString(h->GetName()).Contains( hName )) {
123  //cout << (h->GetName()) << endl;
124  draw_layer(dataset,c, h, count++, numHists+1, maxWeight);
125  }
126  //cout << "check4d" << endl;
127 
128  }
129  draw_layer_labels(numHists+1);
130 
131  // add epoch
132  if (MovieMode) {
133  TText* t = new TText();
134  t->SetTextSize( 0.04 );
135  t->SetTextColor( 0 );
136  t->SetTextAlign( 31 );
137  t->DrawTextNDC( 1 - c->GetRightMargin(), 1 - c->GetTopMargin() - 0.033,
138  Form( "Epoch: %s", epoch.Data() ) );
139  }
140 
141  // ============================================================
142  if (__PRINT_LOGO__) TMVAGlob::plot_logo();
143  // ============================================================
144 
145  c->Update();
146  if (MovieMode) {
147  // save to file
148  TString dirname = "movieplots";
149  TString foutname = dirname + "/" + hName;
150  foutname.Resize( foutname.Length()-5 );
151  foutname.ReplaceAll("epochmonitoring___","");
152  foutname += ".gif";
153 
154  cout << "storing file: " << foutname << endl;
155  c->Print(foutname);
156  c->Clear();
157  delete c;
158  }
159  else {
160  TString fname = dataset+"/plots/network";
161  TMVAGlob::imgconv( c, fname );
162  }
163 
164  // reset global style changes so that it does not affect other plots
165  TMVAStyle->SetCanvasColor ( canvasColor );
166  TMVAStyle->SetTitleFillColor ( titleFillColor );
167  TMVAStyle->SetTitleTextColor ( titleTextColor );
168  TMVAStyle->SetTitleBorderSize( borderSize );
169 
170 }
171 
172 void TMVA::draw_layer_labels(Int_t nLayers)
173 {
174  const Double_t LABEL_HEIGHT = 0.032;
175  const Double_t LABEL_WIDTH = 0.20;
176  Double_t effWidth = 0.8*(1.0-LABEL_WIDTH)/nLayers;
177  Double_t height = 0.8*LABEL_HEIGHT;
178  Double_t margY = LABEL_HEIGHT - height;
179 
180  for (Int_t i = 0; i < nLayers; i++) {
181  TString label = Form("Layer %i", i);
182  if (i == nLayers-1) label = "Output layer";
183  Double_t cx = i*(1.0-LABEL_WIDTH)/nLayers+1.0/(2.0*nLayers)+LABEL_WIDTH;
184  Double_t x1 = cx-0.8*effWidth/2.0;
185  Double_t x2 = cx+0.8*effWidth/2.0;
186  Double_t y1 = margY;
187  Double_t y2 = margY + height;
188 
189  TPaveLabel *p = new TPaveLabel(x1, y1, x2, y2, label+"", "br");
192  p->SetFillStyle(1001);
193  p->SetBorderSize( 0 );
194  p->Draw();
195  }
196 }
197 
198 void TMVA::draw_input_labels(TString dataset,Int_t nInputs, Double_t* cy,
199  Double_t rad, Double_t layerWidth)
200 {
201  const Double_t LABEL_HEIGHT = 0.04;
202  const Double_t LABEL_WIDTH = 0.20;
203  Double_t width = LABEL_WIDTH + (layerWidth-4*rad);
204  Double_t margX = 0.01;
205  Double_t effHeight = 0.8*LABEL_HEIGHT;
206 
207  TString *varNames = get_var_names(dataset,nInputs);
208  if (varNames == 0) exit(1);
209 
210  TString input;
211 
212  for (Int_t i = 0; i < nInputs; i++) {
213  if (i != nInputs-1) input = varNames[i];
214  else input = "Bias node";
215  Double_t x = margX + width;
216  Double_t y = cy[i] - effHeight;
217 
218  TText* t = new TText();
220  t->SetTextAlign(31);
221  t->SetTextSize(LABEL_HEIGHT);
222  if (i == nInputs-1) t->SetTextColor( TColor::GetColor( "#AFDCEC" ) );
223  t->DrawText( x, y+0.018, input + " :");
224  }
225 
226  delete[] varNames;
227 }
228 
229 TString* TMVA::get_var_names(TString dataset, Int_t nVars )
230 {
231  const TString directories[6] = { "InputVariables_NoTransform",
232  "InputVariables_DecorrTransform",
233  "InputVariables_PCATransform",
234  "InputVariables_Id",
235  "InputVariables_Norm",
236  "InputVariables_Deco"};
237 
238  TDirectory* dir = 0;
239  for (Int_t i=0; i<6; i++) {
240  dir = (TDirectory*)Network_GFile->GetDirectory(dataset.Data())->Get( directories[i] );
241  if (dir != 0) break;
242  }
243  if (dir==0) {
244  cout << "*** Big troubles in macro \"network.cxx\": could not find directory for input variables, "
245  << "and hence could not determine variable names --> abort" << endl;
246  return 0;
247  }
248  dir->cd();
249 
250  TString* vars = new TString[nVars];
251  Int_t ivar = 0;
252 
253  // loop over all objects in directory
254  TIter next(dir->GetListOfKeys());
255  TKey* key = 0;
256  while ((key = (TKey*)next())) {
257  if (key->GetCycle() != 1) continue;
258 
259  if (!TString(key->GetName()).Contains("__S") &&
260  !TString(key->GetName()).Contains("__r") &&
261  !TString(key->GetName()).Contains("Regression"))
262  continue;
263  if (TString(key->GetName()).Contains("target"))
264  continue;
265 
266  // make sure, that we only look at histograms
267  TClass *cl = gROOT->GetClass(key->GetClassName());
268  if (!cl->InheritsFrom("TH1")) continue;
269  TH1 *sig = (TH1*)key->ReadObj();
270  TString hname = sig->GetTitle();
271 
272  vars[ivar] = hname; ivar++;
273 
274  if (ivar > nVars-1) break;
275  }
276 
277  if (ivar != nVars-1) { // bias layer and targets are also in nVars counts
278  cout << "*** Troubles in \"network.cxx\": did not reproduce correct number of "
279  << "input variables: " << ivar << " != " << nVars << endl;
280  }
281 
282  return vars;
283 }
284 
286  Double_t radx, Double_t rady, Int_t whichActivation)
287 {
288  TImage *activation = NULL;
289 
290  switch (whichActivation) {
291  case 0:
292  activation = TMVA::TMVAGlob::findImage("sigmoid-small.png");
293  break;
294  case 1:
295  activation = TMVA::TMVAGlob::findImage("line-small.png");
296  break;
297  default:
298  cout << "Activation index " << whichActivation << " is not known." << endl;
299  cout << "You messed up or you need to modify network.cxx to introduce a new "
300  << "activation function (and image) corresponding to this index" << endl;
301  }
302 
303  if (activation == NULL) {
304  cout << "Could not create an image... exit" << endl;
305  return;
306  }
307 
308  activation->SetConstRatio(kFALSE);
309 
310  radx *= 0.7;
311  rady *= 0.7;
312  TString name = Form("activation%f%f", cx, cy);
313  TPad* p = new TPad(name+"", name+"", cx-radx, cy-rady, cx+radx, cy+rady);
314 
315  p->Draw();
316  p->cd();
317 
318  activation->Draw();
319  c->cd();
320 }
321 
322 void TMVA::draw_layer(TString dataset,TCanvas* c, TH2F* h, Int_t iHist,
323  Int_t nLayers, Double_t maxWeight)
324 {
325  const Double_t MAX_NEURONS_NICE = 12;
326  const Double_t LABEL_HEIGHT = 0.03;
327  const Double_t LABEL_WIDTH = 0.20;
328  Double_t ratio = ((Double_t)(c->GetWindowHeight())) / c->GetWindowWidth();
329  Double_t rad, cx1, *cy1, cx2, *cy2;
330 
331  // this is the smallest radius that will still display the activation images
332  rad = 0.04*650/c->GetWindowHeight();
333 
334  Int_t nNeurons1 = h->GetNbinsX();
335  cx1 = iHist*(1.0-LABEL_WIDTH)/nLayers + 1.0/(2.0*nLayers) + LABEL_WIDTH;
336  cy1 = new Double_t[nNeurons1];
337 
338  Int_t nNeurons2 = h->GetNbinsY();
339  cx2 = (iHist+1)*(1.0-LABEL_WIDTH)/nLayers + 1.0/(2.0*nLayers) + LABEL_WIDTH;
340  cy2 = new Double_t[nNeurons2];
341 
342  Double_t effRad1 = rad;
343  if (nNeurons1 > MAX_NEURONS_NICE)
344  effRad1 = 0.8*(1.0-LABEL_HEIGHT)/(2.0*nNeurons1);
345 
346  for (Int_t i = 0; i < nNeurons1; i++) {
347  cy1[nNeurons1-i-1] = i*(1.0-LABEL_HEIGHT)/nNeurons1 + 1.0/(2.0*nNeurons1) + LABEL_HEIGHT;
348 
349  if (iHist == 0) {
350 
351  TEllipse *ellipse = new TEllipse( cx1, cy1[nNeurons1-i-1],
352  effRad1*ratio, effRad1, 0, 360, 0 );
353  ellipse->SetFillColor(TColor::GetColor( "#fffffd" ));
354  ellipse->SetFillStyle(1001);
355  ellipse->Draw();
356 
357  if (i == 0) ellipse->SetLineColor(9);
358 
359  if (nNeurons1 > MAX_NEURONS_NICE) continue;
360 
361  Int_t whichActivation = 0;
362  if (iHist==0 || iHist==nLayers-1 || i==0) whichActivation = 1;
363  draw_activation(c, cx1, cy1[nNeurons1-i-1],
364  rad*ratio, rad, whichActivation);
365  }
366  }
367 
368  if (iHist == 0) draw_input_labels(dataset,nNeurons1, cy1, rad, (1.0-LABEL_WIDTH)/nLayers);
369 
370  Double_t effRad2 = rad;
371  if (nNeurons2 > MAX_NEURONS_NICE)
372  effRad2 = 0.8*(1.0-LABEL_HEIGHT)/(2.0*nNeurons2);
373 
374  for (Int_t i = 0; i < nNeurons2; i++) {
375  cy2[nNeurons2-i-1] = i*(1.0-LABEL_HEIGHT)/nNeurons2 + 1.0/(2.0*nNeurons2) + LABEL_HEIGHT;
376 
377  TEllipse *ellipse =
378  new TEllipse(cx2, cy2[nNeurons2-i-1], effRad2*ratio, effRad2, 0, 360, 0);
379  ellipse->SetFillColor(TColor::GetColor( "#fffffd" ));
380  ellipse->SetFillStyle(1001);
381  ellipse->Draw();
382 
383  if (i == 0 && nNeurons2 > 1) ellipse->SetLineColor(9);
384 
385  if (nNeurons2 > MAX_NEURONS_NICE) continue;
386 
387  Int_t whichActivation = 0;
388  if (iHist+1==0 || iHist+1==nLayers-1 || i==0) whichActivation = 1;
389  draw_activation(c, cx2, cy2[nNeurons2-i-1], rad*ratio, rad, whichActivation);
390  }
391 
392  for (Int_t i = 0; i < nNeurons1; i++) {
393  for (Int_t j = 0; j < nNeurons2; j++) {
394  draw_synapse(cx1, cy1[i], cx2, cy2[j], effRad1*ratio, effRad2*ratio,
395  h->GetBinContent(i+1, j+1)/maxWeight);
396  }
397  }
398 
399  delete [] cy1;
400  delete [] cy2;
401 }
402 
403 void TMVA::draw_synapse(Double_t cx1, Double_t cy1, Double_t cx2, Double_t cy2,
404  Double_t rad1, Double_t rad2, Double_t weightNormed)
405 {
406  const Double_t TIP_SIZE = 0.01;
407  const Double_t MAX_WEIGHT = 8;
408  const Double_t MAX_COLOR = 100; // red
409  const Double_t MIN_COLOR = 60; // blue
410 
411  if (weightNormed == 0) return;
412 
413  // gStyle->SetPalette(100, NULL);
414 
415  TArrow *arrow = new TArrow(cx1+rad1, cy1, cx2-rad2, cy2, TIP_SIZE, ">");
416  arrow->SetFillColor(1);
417  arrow->SetFillStyle(1001);
418  arrow->SetLineWidth((Int_t)(TMath::Abs(weightNormed)*MAX_WEIGHT+0.5));
419  arrow->SetLineColor((Int_t)((weightNormed+1.0)/2.0*(MAX_COLOR-MIN_COLOR)+MIN_COLOR+0.5));
420  arrow->Draw();
421 }
422 
423 // input: - Input file (result from TMVA),
424 // - use of TMVA plotting TStyle
425 void TMVA::network(TString dataset, TString fin , Bool_t useTMVAStyle )
426 {
427  // set style and remove existing canvas'
428  TMVAGlob::Initialize( useTMVAStyle );
429 
430  // checks if file with name "fin" is already open, and if not opens one
431  TFile* file = TMVAGlob::OpenFile( fin );
432  TIter next(file->GetDirectory(dataset.Data())->GetListOfKeys());
433  TKey *key(0);
434  while( (key = (TKey*)next()) ) {
435  if (!TString(key->GetName()).BeginsWith("Method_MLP")) continue;
436  if( ! gROOT->GetClass(key->GetClassName())->InheritsFrom("TDirectory") ) continue;
437 
438  cout << "--- Found directory: " << ((TDirectory*)key->ReadObj())->GetName() << endl;
439 
440  TDirectory* mDir = (TDirectory*)key->ReadObj();
441 
442  TIter keyIt(mDir->GetListOfKeys());
443  TKey *titkey;
444  while((titkey = (TKey*)keyIt())) {
445  if( ! gROOT->GetClass(titkey->GetClassName())->InheritsFrom("TDirectory") ) continue;
446 
447  TDirectory* dir = (TDirectory *)titkey->ReadObj();
448  dir->cd();
449  TList titles;
450  UInt_t ni = TMVAGlob::GetListOfTitles( dir, titles );
451  if (ni==0) {
452  cout << "No titles found for Method_MLP" << endl;
453  return;
454  }
455  draw_network(dataset, file, dir );
456  }
457  }
458 
459  return;
460 }
461 
virtual const char * GetName() const
Returns name of object.
Definition: TNamed.h:47
std::string GetName(const std::string &scope_name)
Definition: Cppyy.cxx:145
virtual void SetLineWidth(Width_t lwidth)
Set the line width.
Definition: TAttLine.h:43
void imgconv(TCanvas *c, const TString &fname)
Definition: tmvaglob.cxx:212
virtual TList * GetListOfKeys() const
Definition: TDirectory.h:150
Color_t GetTitleTextColor() const
Definition: TStyle.h:259
static Int_t c_DarkBackground
Definition: network.cxx:24
image html pict1_TGaxis_012 png width
Define new text attributes for the label number "labNum".
Definition: TGaxis.cxx:2551
TString & ReplaceAll(const TString &s1, const TString &s2)
Definition: TString.h:687
R__EXTERN TStyle * gStyle
Definition: TStyle.h:406
TFile * OpenFile(const TString &fin)
Definition: tmvaglob.cxx:192
virtual const char * GetClassName() const
Definition: TKey.h:71
virtual void SetConstRatio(Bool_t constRatio=kTRUE)
Set (constRatio = kTRUE) or unset (constRadio = kFALSE) the ratio flag.
Definition: TAttImage.cxx:641
A ROOT file is a suite of consecutive data records (TKey instances) with a well defined format...
Definition: TFile.h:47
TVirtualPad * cd(Int_t subpadnumber=0)
Set current canvas & pad.
Definition: TCanvas.cxx:688
#define gROOT
Definition: TROOT.h:410
UInt_t GetListOfKeys(TList &keys, TString inherits, TDirectory *dir=0)
Definition: tmvaglob.cxx:375
Basic string class.
Definition: TString.h:131
#define f(i)
Definition: RSha256.hxx:104
int Int_t
Definition: RtypesCore.h:41
bool Bool_t
Definition: RtypesCore.h:59
virtual void Draw(Option_t *option="")
Default Draw method for all objects.
Definition: TObject.cxx:195
virtual void SetFillStyle(Style_t fstyle)
Set the fill area style.
Definition: TAttFill.h:39
An abstract interface to image processing library.
Definition: TImage.h:29
static constexpr double rad
void draw_activation(TCanvas *c, Double_t cx, Double_t cy, Double_t radx, Double_t rady, Int_t whichActivation)
Short_t Abs(Short_t d)
Definition: TMathBase.h:108
void Reset()
Definition: TCollection.h:252
void SetCanvasColor(Color_t color=19)
Definition: TStyle.h:321
void SetTitleBorderSize(Width_t size=2)
Definition: TStyle.h:385
TVirtualPad * cd(Int_t subpadnumber=0)
Set Current pad.
Definition: TPad.cxx:594
static const double x2[5]
Double_t x[n]
Definition: legend1.C:17
virtual TText * DrawTextNDC(Double_t x, Double_t y, const char *text)
Draw this text with new coordinates in NDC.
Definition: TText.cxx:202
virtual void Draw(Option_t *option="")
Draw this arrow with its current attributes.
Definition: TArrow.cxx:121
UInt_t GetWindowHeight() const
Definition: TCanvas.h:168
void Clear()
Clear string without changing its capacity.
Definition: TString.cxx:1151
Base class for several text objects.
Definition: TText.h:23
void SetTitleTextColor(Color_t color=1)
Definition: TStyle.h:382
Book space in a file, create I/O buffers, to fill them, (un)compress them.
Definition: TKey.h:24
void network(TString dataset, TString fin="TMVA.root", Bool_t useTMVAStyle=kTRUE)
virtual void Draw(Option_t *option="")
Draw Pad in Current pad (re-parent pad if necessary).
Definition: TPad.cxx:1281
void draw_network(TString dataset, TFile *f, TDirectory *d, const TString &hName="weights_hist", Bool_t movieMode=kFALSE, const TString &epoch="")
void draw_layer(TString dataset, TCanvas *c, TH2F *h, Int_t iHist, Int_t nLayers, Double_t maxWeight)
virtual void Draw(Option_t *option="")
Draw this ellipse with its current attributes.
Definition: TEllipse.cxx:166
virtual void SetTextAlign(Short_t align=11)
Set the text alignment.
Definition: TAttText.h:41
A doubly linked list.
Definition: TList.h:44
A Pave (see TPave) with a text centered in the Pave.
Definition: TPaveLabel.h:20
TStyle objects may be created to define special styles.
Definition: TStyle.h:27
virtual void SetLineColor(Color_t lcolor)
Set the line color.
Definition: TAttLine.h:40
#define MAX_COLOR
Definition: TGHtml.cxx:1611
void Initialize(Bool_t useTMVAStyle=kTRUE)
Definition: tmvaglob.cxx:176
virtual void SetFillColor(Color_t fcolor)
Set the fill area color.
Definition: TAttFill.h:37
2-D histogram with a float per channel (see TH1 documentation)}
Definition: TH2.h:250
unsigned int UInt_t
Definition: RtypesCore.h:42
The most important graphics class in the ROOT system.
Definition: TPad.h:29
char * Form(const char *fmt,...)
Ssiz_t Length() const
Definition: TString.h:405
static Int_t GetColor(const char *hexcolor)
Static method returning color number for color specified by hex color string of form: "#rrggbb"...
Definition: TColor.cxx:1758
The ROOT global object gROOT contains a list of all defined classes.
Definition: TClass.h:75
void plot_logo(Float_t v_scale=1.0, Float_t skew=1.0)
Definition: tmvaglob.cxx:263
Bool_t InheritsFrom(const char *cl) const
Return kTRUE if this class inherits from a class with name "classname".
Definition: TClass.cxx:4688
virtual TDirectory * GetDirectory(const char *apath, Bool_t printError=false, const char *funcname="GetDirectory")
Find a directory named "apath".
TFile * Network_GFile
Definition: network.cxx:22
#define h(i)
Definition: RSha256.hxx:106
Color_t GetTitleFillColor() const
Definition: TStyle.h:258
const Bool_t kFALSE
Definition: RtypesCore.h:88
The Canvas class.
Definition: TCanvas.h:31
Width_t GetTitleBorderSize() const
Definition: TStyle.h:262
#define d(i)
Definition: RSha256.hxx:102
static const double x1[5]
virtual void Draw(Option_t *option="")
Draw this pavelabel with its current attributes.
Definition: TPaveLabel.cxx:77
double Double_t
Definition: RtypesCore.h:55
UInt_t GetWindowWidth() const
Definition: TCanvas.h:167
Describe directory structure in memory.
Definition: TDirectory.h:34
void draw_synapse(Double_t cx1, Double_t cy1, Double_t cx2, Double_t cy2, Double_t rad1, Double_t rad2, Double_t weightNormed)
Double_t y[n]
Definition: legend1.C:17
The TH1 histogram class.
Definition: TH1.h:56
Draw Ellipses.
Definition: TEllipse.h:24
TString * get_var_names(TString dataset, Int_t nVars)
virtual TObject * ReadObj()
To read a TObject* from the file.
Definition: TKey.cxx:722
virtual Bool_t cd(const char *path=0)
Change current directory to "this" directory.
Definition: TDirectory.cxx:497
void SetTitleFillColor(Color_t color=1)
Definition: TStyle.h:381
Definition: file.py:1
void draw_input_labels(TString dataset, Int_t nInputs, Double_t *cy, Double_t rad, Double_t layerWidth)
void draw_layer_labels(Int_t nLayers)
virtual Double_t GetBinContent(Int_t bin) const
Return content of bin number bin.
Definition: TH2.h:84
virtual TText * DrawText(Double_t x, Double_t y, const char *text)
Draw this text with new coordinates.
Definition: TText.cxx:176
virtual void SetTextColor(Color_t tcolor=1)
Set the text color.
Definition: TAttText.h:43
#define c(i)
Definition: RSha256.hxx:101
Color_t GetCanvasColor() const
Definition: TStyle.h:176
virtual Int_t GetNbinsX() const
Definition: TH1.h:291
virtual void SetTextSize(Float_t tsize=1)
Set the text size.
Definition: TAttText.h:46
Draw all kinds of Arrows.
Definition: TArrow.h:29
Bool_t MovieMode
Definition: network.cxx:27
const Bool_t kTRUE
Definition: RtypesCore.h:87
char name[80]
Definition: TGX11.cxx:109
virtual void SetBorderSize(Int_t bordersize=4)
Definition: TPave.h:70
void Resize(Ssiz_t n)
Resize the string. Truncate or add blanks as necessary.
Definition: TString.cxx:1070
virtual const char * GetTitle() const
Returns title of object.
Definition: TNamed.h:48
virtual Int_t GetNbinsY() const
Definition: TH1.h:292
TImage * findImage(const char *imageName)
Definition: tmvaglob.cxx:245
const char * Data() const
Definition: TString.h:364
UInt_t GetListOfTitles(TDirectory *rfdir, TList &titles)
Definition: tmvaglob.cxx:636