ROOT 6.18/05 Reference Guide |
Definition at line 57 of file RuleEnsemble.h.
Public Types | |
enum | ELearningModel { kFull =0 , kRules =1 , kLinear =2 } |
Public Member Functions | |
RuleEnsemble () | |
constructor More... | |
RuleEnsemble (const RuleEnsemble &other) | |
copy constructor More... | |
RuleEnsemble (RuleFit *rf) | |
constructor More... | |
virtual | ~RuleEnsemble () |
destructor More... | |
void | AddOffset (Double_t v) |
void * | AddXMLTo (void *parent) const |
write rules to XML More... | |
void | CalcImportance () |
calculate the importance of each rule More... | |
Double_t | CalcLinImportance () |
calculate the linear importance for each rule More... | |
Double_t | CalcLinNorm (Double_t stdev) |
Int_t | CalcNRules (const TMVA::DecisionTree *dtree) |
calculate the number of rules More... | |
Double_t | CalcRuleImportance () |
calculate importance of each rule More... | |
void | CalcRuleSupport () |
calculate the support for all rules More... | |
void | CalcVarImportance () |
Calculates variable importance using eq (35) in RuleFit paper by Friedman et.al. More... | |
void | CleanupLinear () |
cleanup linear model More... | |
void | CleanupRules () |
cleanup rules More... | |
void | ClearCoefficients (Double_t val=0) |
void | ClearLinCoefficients (Double_t val=0) |
void | ClearLinNorm (Double_t val=1.0) |
void | ClearRuleMap () |
Double_t | CoefficientRadius () |
Calculates sqrt(Sum(a_i^2)), i=1..N (NOTE do not include a0) More... | |
Bool_t | DoFull () const |
Bool_t | DoLinear () const |
Bool_t | DoOnlyLinear () const |
Bool_t | DoOnlyRules () const |
Bool_t | DoRules () const |
Double_t | EvalEvent () const |
Double_t | EvalEvent (const Event &e) |
Double_t | EvalEvent (const Event &e, Double_t ofs, const std::vector< Double_t > &coefs, const std::vector< Double_t > &lincoefs) |
Double_t | EvalEvent (Double_t ofs, const std::vector< Double_t > &coefs, const std::vector< Double_t > &lincoefs) const |
Double_t | EvalEvent (UInt_t evtidx) const |
Double_t | EvalEvent (UInt_t evtidx, Double_t ofs, const std::vector< Double_t > &coefs, const std::vector< Double_t > &lincoefs) const |
Double_t | EvalLinEvent () const |
Double_t | EvalLinEvent (const Event &e) |
Double_t | EvalLinEvent (const Event &e, const std::vector< Double_t > &coefs) |
Double_t | EvalLinEvent (const Event &e, UInt_t vind) |
Double_t | EvalLinEvent (const std::vector< Double_t > &coefs) const |
Double_t | EvalLinEvent (UInt_t evtidx) const |
Double_t | EvalLinEvent (UInt_t evtidx, const std::vector< Double_t > &coefs) const |
Double_t | EvalLinEvent (UInt_t evtidx, UInt_t vind) const |
Double_t | EvalLinEvent (UInt_t evtidx, UInt_t vind, Double_t coefs) const |
Double_t | EvalLinEventRaw (UInt_t vind, const Event &e, Bool_t norm) const |
Double_t | EvalLinEventRaw (UInt_t vind, UInt_t evtidx, Bool_t norm) const |
void | FindNEndNodes (const TMVA::Node *node, Int_t &nendnodes) |
find the number of leaf nodes More... | |
Double_t | FStar () const |
We want to estimate F* = argmin Eyx( L(y,F(x) ), min wrt F(x) F(x) = FL(x) + FR(x) , linear and rule part. More... | |
Double_t | FStar (const TMVA::Event &e) |
We want to estimate F* = argmin Eyx( L(y,F(x) ), min wrt F(x) F(x) = FL(x) + FR(x) , linear and rule part. More... | |
Double_t | GetAverageRuleSigma () const |
Double_t | GetAverageSupport () const |
void | GetCoefficients (std::vector< Double_t > &v) |
Retrieve all rule coefficients. More... | |
const Event * | GetEvent () const |
Double_t | GetEventLinearVal (UInt_t i) const |
Double_t | GetEventLinearValNorm (UInt_t i) const |
const std::vector< UInt_t > & | GetEventRuleMap (UInt_t evtidx) const |
Double_t | GetEventRuleVal (UInt_t i) const |
Double_t | GetImportanceCut () const |
Double_t | GetImportanceRef () const |
ELearningModel | GetLearningModel () const |
const std::vector< Double_t > & | GetLinCoefficients () const |
Double_t | GetLinCoefficients (int i) const |
Double_t | GetLinDM (int i) const |
Double_t | GetLinDP (int i) const |
const std::vector< Double_t > & | GetLinImportance () const |
Double_t | GetLinImportance (int i) const |
const std::vector< Double_t > & | GetLinNorm () const |
Double_t | GetLinNorm (int i) const |
Double_t | GetLinQuantile () const |
const MethodBase * | GetMethodBase () const |
Get a pointer to the original MethodRuleFit. More... | |
const MethodRuleFit * | GetMethodRuleFit () const |
Get a pointer to the original MethodRuleFit. More... | |
UInt_t | GetNLinear () const |
UInt_t | GetNRules () const |
Double_t | GetOffset () const |
const RuleFit * | GetRuleFit () const |
const TMVA::Event * | GetRuleMapEvent (UInt_t evtidx) const |
Double_t | GetRuleMinDist () const |
Double_t | GetRulePBB (int i) const |
Double_t | GetRulePBS (int i) const |
Double_t | GetRulePSB (int i) const |
Double_t | GetRulePSS (int i) const |
Double_t | GetRulePTag (int i) const |
std::vector< TMVA::Rule * > & | GetRules () |
Rule * | GetRules (int i) |
const std::vector< TMVA::Rule * > & | GetRulesConst () const |
const Rule * | GetRulesConst (int i) const |
UInt_t | GetRulesNCuts (int i) const |
const Event * | GetTrainingEvent (UInt_t i) const |
get the training event from the rule fitter More... | |
const std::vector< const TMVA::Event * > * | GetTrainingEvents () const |
get list of training events from the rule fitter More... | |
const std::vector< Double_t > & | GetVarImportance () const |
Double_t | GetVarImportance (int i) const |
void | Initialize (const RuleFit *rf) |
Initializes all member variables with default values. More... | |
Bool_t | IsLinTermOK (int i) const |
Bool_t | IsRuleMapOK () const |
void | MakeLinearTerms () |
Make the linear terms as in eq 25, ref 2 For this the b and (1-b) quantiles are needed. More... | |
void | MakeModel () |
create model More... | |
void | MakeRuleMap (const std::vector< const TMVA::Event * > *events=0, UInt_t ifirst=0, UInt_t ilast=0) |
Makes rule map for all events. More... | |
void | MakeRules (const std::vector< const TMVA::DecisionTree * > &forest) |
Makes rules from the given decision tree. More... | |
void | operator= (const RuleEnsemble &other) |
Double_t | PdfLinear (Double_t &nsig, Double_t &ntot) const |
This function returns Pr( y = 1 | x ) for the linear terms. More... | |
Double_t | PdfRule (Double_t &nsig, Double_t &ntot) const |
This function returns Pr( y = 1 | x ) for rules. More... | |
void | Print () const |
print function More... | |
void | PrintRaw (std::ostream &os) const |
write rules to stream More... | |
void | PrintRuleGen () const |
print rule generation info More... | |
void | ReadFromXML (void *wghtnode) |
read rules from XML More... | |
void | ReadRaw (std::istream &istr) |
read rule ensemble from stream More... | |
void | RemoveSimilarRules () |
remove rules that behave similar More... | |
void | RuleResponseStats () |
calculate various statistics for this rule More... | |
void | RuleStatistics () |
calculate various statistics for this rule More... | |
void | SetAverageRuleSigma (Double_t v) |
void | SetCoefficient (UInt_t i, Double_t v) |
void | SetCoefficients (const std::vector< Double_t > &v) |
set all rule coefficients More... | |
void | SetEvent (const Event &e) |
void | SetImportanceCut (Double_t minimp=0) |
void | SetImportanceRef (Double_t impref) |
set reference importance More... | |
void | SetLinCoefficient (UInt_t i, Double_t v) |
void | SetLinCoefficients (const std::vector< Double_t > &v) |
void | SetLinDM (const std::vector< Double_t > &xmin) |
void | SetLinDP (const std::vector< Double_t > &xmax) |
void | SetLinNorm (const std::vector< Double_t > &norm) |
void | SetLinQuantile (Double_t q) |
void | SetModelFull () |
void | SetModelLinear () |
void | SetModelRules () |
void | SetMsgType (EMsgType t) |
void | SetOffset (Double_t v=0.0) |
void | SetRuleFit (const RuleFit *rf) |
void | SetRuleMinDist (Double_t d) |
void | SetRules (const std::vector< TMVA::Rule * > &rules) |
set rules More... | |
void | UpdateEventVal () |
Private Member Functions | |
void | AddRule (const Node *node) |
add a new rule to the tree More... | |
void | Copy (RuleEnsemble const &other) |
copy function More... | |
void | DeleteRules () |
MsgLogger & | Log () const |
message logger More... | |
void | MakeRulesFromTree (const DecisionTree *dtree) |
create rules from the decision tree structure More... | |
Rule * | MakeTheRule (const Node *node) |
Make a Rule from a given Node. More... | |
void | ResetCoefficients () |
reset all rule coefficients More... | |
Friends | |
std::ostream & | operator<< (std::ostream &os, const RuleEnsemble &rules) |
#include <TMVA/RuleEnsemble.h>
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kFull | |
kRules | |
kLinear |
Definition at line 64 of file RuleEnsemble.h.
TMVA::RuleEnsemble::RuleEnsemble | ( | RuleFit * | rf | ) |
constructor
Definition at line 56 of file RuleEnsemble.cxx.
TMVA::RuleEnsemble::RuleEnsemble | ( | const RuleEnsemble & | other | ) |
copy constructor
Definition at line 82 of file RuleEnsemble.cxx.
TMVA::RuleEnsemble::RuleEnsemble | ( | ) |
constructor
Definition at line 95 of file RuleEnsemble.cxx.
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destructor
Definition at line 122 of file RuleEnsemble.cxx.
Definition at line 113 of file RuleEnsemble.h.
add a new rule to the tree
Definition at line 1306 of file RuleEnsemble.cxx.
write rules to XML
Definition at line 1098 of file RuleEnsemble.cxx.
void TMVA::RuleEnsemble::CalcImportance | ( | ) |
calculate the importance of each rule
Definition at line 428 of file RuleEnsemble.cxx.
Double_t TMVA::RuleEnsemble::CalcLinImportance | ( | ) |
calculate the linear importance for each rule
Definition at line 469 of file RuleEnsemble.cxx.
Definition at line 120 of file RuleEnsemble.h.
Int_t TMVA::RuleEnsemble::CalcNRules | ( | const TMVA::DecisionTree * | dtree | ) |
calculate the number of rules
Definition at line 1269 of file RuleEnsemble.cxx.
Double_t TMVA::RuleEnsemble::CalcRuleImportance | ( | ) |
calculate importance of each rule
Definition at line 449 of file RuleEnsemble.cxx.
void TMVA::RuleEnsemble::CalcRuleSupport | ( | ) |
calculate the support for all rules
Definition at line 377 of file RuleEnsemble.cxx.
void TMVA::RuleEnsemble::CalcVarImportance | ( | ) |
Calculates variable importance using eq (35) in RuleFit paper by Friedman et.al.
Definition at line 495 of file RuleEnsemble.cxx.
void TMVA::RuleEnsemble::CleanupLinear | ( | ) |
cleanup linear model
Definition at line 362 of file RuleEnsemble.cxx.
void TMVA::RuleEnsemble::CleanupRules | ( | ) |
cleanup rules
Definition at line 331 of file RuleEnsemble.cxx.
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Double_t TMVA::RuleEnsemble::CoefficientRadius | ( | ) |
Calculates sqrt(Sum(a_i^2)), i=1..N (NOTE do not include a0)
Definition at line 198 of file RuleEnsemble.cxx.
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copy function
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void TMVA::RuleEnsemble::FindNEndNodes | ( | const TMVA::Node * | node, |
Int_t & | nendnodes | ||
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find the number of leaf nodes
Definition at line 1281 of file RuleEnsemble.cxx.
Double_t TMVA::RuleEnsemble::FStar | ( | ) | const |
We want to estimate F* = argmin Eyx( L(y,F(x) ), min wrt F(x) F(x) = FL(x) + FR(x) , linear and rule part.
Definition at line 796 of file RuleEnsemble.cxx.
Double_t TMVA::RuleEnsemble::FStar | ( | const TMVA::Event & | e | ) |
We want to estimate F* = argmin Eyx( L(y,F(x) ), min wrt F(x) F(x) = FL(x) + FR(x) , linear and rule part.
Definition at line 785 of file RuleEnsemble.cxx.
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Retrieve all rule coefficients.
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const TMVA::MethodBase * TMVA::RuleEnsemble::GetMethodBase | ( | ) | const |
Get a pointer to the original MethodRuleFit.
Definition at line 171 of file RuleEnsemble.cxx.
const TMVA::MethodRuleFit * TMVA::RuleEnsemble::GetMethodRuleFit | ( | ) | const |
Get a pointer to the original MethodRuleFit.
Definition at line 162 of file RuleEnsemble.cxx.
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const TMVA::Event * TMVA::RuleEnsemble::GetTrainingEvent | ( | UInt_t | i | ) | const |
get the training event from the rule fitter
Definition at line 264 of file RuleEnsemble.cxx.
const std::vector< const TMVA::Event * > * TMVA::RuleEnsemble::GetTrainingEvents | ( | ) | const |
get list of training events from the rule fitter
Definition at line 256 of file RuleEnsemble.cxx.
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Definition at line 286 of file RuleEnsemble.h.
Initializes all member variables with default values.
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message logger
Definition at line 386 of file RuleEnsemble.h.
void TMVA::RuleEnsemble::MakeLinearTerms | ( | ) |
Make the linear terms as in eq 25, ref 2 For this the b and (1-b) quantiles are needed.
Definition at line 613 of file RuleEnsemble.cxx.
void TMVA::RuleEnsemble::MakeModel | ( | ) |
create model
Definition at line 179 of file RuleEnsemble.cxx.
void TMVA::RuleEnsemble::MakeRuleMap | ( | const std::vector< const TMVA::Event * > * | events = 0 , |
UInt_t | ifirst = 0 , |
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Makes rule map for all events.
Definition at line 1370 of file RuleEnsemble.cxx.
void TMVA::RuleEnsemble::MakeRules | ( | const std::vector< const TMVA::DecisionTree * > & | forest | ) |
Makes rules from the given decision tree.
First node in all rules is ALWAYS the root node.
Definition at line 560 of file RuleEnsemble.cxx.
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create rules from the decision tree structure
Definition at line 1297 of file RuleEnsemble.cxx.
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Make a Rule from a given Node.
The root node (ie no parent) does not generate a Rule. The first node in a rule is always the root node => fNodes.size()>=2 Each node corresponds to a cut and the cut value is given by the parent node.
Definition at line 1332 of file RuleEnsemble.cxx.
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Definition at line 240 of file RuleEnsemble.h.
This function returns Pr( y = 1 | x ) for the linear terms.
Definition at line 731 of file RuleEnsemble.cxx.
This function returns Pr( y = 1 | x ) for rules.
The probability returned is normalized against the number of rules which are actually passed
Definition at line 755 of file RuleEnsemble.cxx.
void TMVA::RuleEnsemble::Print | ( | ) | const |
print function
Definition at line 946 of file RuleEnsemble.cxx.
void TMVA::RuleEnsemble::PrintRaw | ( | std::ostream & | os | ) | const |
write rules to stream
Definition at line 1064 of file RuleEnsemble.cxx.
void TMVA::RuleEnsemble::PrintRuleGen | ( | ) | const |
print rule generation info
Definition at line 927 of file RuleEnsemble.cxx.
read rules from XML
Definition at line 1129 of file RuleEnsemble.cxx.
void TMVA::RuleEnsemble::ReadRaw | ( | std::istream & | istr | ) |
read rule ensemble from stream
Definition at line 1184 of file RuleEnsemble.cxx.
void TMVA::RuleEnsemble::RemoveSimilarRules | ( | ) |
remove rules that behave similar
Definition at line 272 of file RuleEnsemble.cxx.
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reset all rule coefficients
Definition at line 215 of file RuleEnsemble.cxx.
void TMVA::RuleEnsemble::RuleResponseStats | ( | ) |
calculate various statistics for this rule
Definition at line 818 of file RuleEnsemble.cxx.
void TMVA::RuleEnsemble::RuleStatistics | ( | ) |
calculate various statistics for this rule
Definition at line 905 of file RuleEnsemble.cxx.
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set all rule coefficients
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set reference importance
Definition at line 439 of file RuleEnsemble.cxx.
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void TMVA::RuleEnsemble::SetMsgType | ( | EMsgType | t | ) |
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void TMVA::RuleEnsemble::SetRules | ( | const std::vector< TMVA::Rule * > & | rules | ) |
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