SHOGUN
4.1.0
|
RelaxedTree refer to a tree-style multiclass classifier proposed in the following paper.
Tianshi Gao and Daphne Koller. Discriminative Learning of Relaxed Hierarchy for Large-scale Visual Recognition. In IEEE International Conference on Computer Vision (ICCV), 2011. (Oral presentation)
Definition at line 36 of file RelaxedTree.h.
Public Types | |
typedef std::pair< std::pair < int32_t, int32_t > , float64_t > | entry_t |
typedef CTreeMachineNode < RelaxedTreeNodeData > | node_t |
typedef CBinaryTreeMachineNode < RelaxedTreeNodeData > | bnode_t |
Public Attributes | |
SGIO * | io |
Parallel * | parallel |
Version * | version |
Parameter * | m_parameters |
Parameter * | m_model_selection_parameters |
Parameter * | m_gradient_parameters |
uint32_t | m_hash |
Protected Member Functions | |
float64_t | apply_one (int32_t idx) |
virtual bool | train_machine (CFeatures *data) |
bnode_t * | train_node (const SGMatrix< float64_t > &conf_mat, SGVector< int32_t > classes) |
std::vector< entry_t > | init_node (const SGMatrix< float64_t > &global_conf_mat, SGVector< int32_t > classes) |
SGVector< int32_t > | train_node_with_initialization (const CRelaxedTree::entry_t &mu_entry, SGVector< int32_t > classes, CSVM *svm) |
float64_t | compute_score (SGVector< int32_t > mu, CSVM *svm) |
SGVector< int32_t > | color_label_space (CSVM *svm, SGVector< int32_t > classes) |
SGVector< float64_t > | eval_binary_model_K (CSVM *svm) |
void | enforce_balance_constraints_upper (SGVector< int32_t > &mu, SGVector< float64_t > &delta_neg, SGVector< float64_t > &delta_pos, int32_t B_prime, SGVector< float64_t > &xi_neg_class) |
void | enforce_balance_constraints_lower (SGVector< int32_t > &mu, SGVector< float64_t > &delta_neg, SGVector< float64_t > &delta_pos, int32_t B_prime, SGVector< float64_t > &xi_neg_class) |
virtual void | store_model_features () |
virtual bool | train_require_labels () const |
virtual void | load_serializable_pre () throw (ShogunException) |
virtual void | load_serializable_post () throw (ShogunException) |
virtual void | save_serializable_pre () throw (ShogunException) |
virtual void | save_serializable_post () throw (ShogunException) |
Protected Attributes | |
int32_t | m_max_num_iter |
float64_t | m_A |
int32_t | m_B |
float64_t | m_svm_C |
float64_t | m_svm_epsilon |
CKernel * | m_kernel |
CDenseFeatures< float64_t > * | m_feats |
CBaseMulticlassMachine * | m_machine_for_confusion_matrix |
int32_t | m_num_classes |
CTreeMachineNode < RelaxedTreeNodeData > * | m_root |
CDynamicObjectArray * | m_machines |
float64_t | m_max_train_time |
CLabels * | m_labels |
ESolverType | m_solver_type |
bool | m_store_model_features |
bool | m_data_locked |
|
inherited |
bnode_t type- Tree node with max 2 possible children
Definition at line 55 of file TreeMachine.h.
entry type
Definition at line 187 of file RelaxedTree.h.
|
inherited |
node_t type- Tree node with many possible children
Definition at line 52 of file TreeMachine.h.
CRelaxedTree | ( | ) |
constructor
Definition at line 24 of file RelaxedTree.cpp.
|
virtual |
destructor
Definition at line 35 of file RelaxedTree.cpp.
apply machine to data if data is not specified apply to the current features
data | (test)data to be classified |
Definition at line 152 of file Machine.cpp.
|
virtualinherited |
apply machine to data in means of binary classification problem
Reimplemented in CKernelMachine, COnlineLinearMachine, CWDSVMOcas, CNeuralNetwork, CLinearMachine, CGaussianProcessClassification, CDomainAdaptationSVMLinear, CDomainAdaptationSVM, CPluginEstimate, and CBaggingMachine.
Definition at line 208 of file Machine.cpp.
|
virtualinherited |
apply machine to data in means of latent problem
Reimplemented in CLinearLatentMachine.
Definition at line 232 of file Machine.cpp.
Applies a locked machine on a set of indices. Error if machine is not locked
indices | index vector (of locked features) that is predicted |
Definition at line 187 of file Machine.cpp.
|
virtualinherited |
applies a locked machine on a set of indices for binary problems
Reimplemented in CKernelMachine, and CMultitaskLinearMachine.
Definition at line 238 of file Machine.cpp.
|
virtualinherited |
applies a locked machine on a set of indices for latent problems
Definition at line 266 of file Machine.cpp.
|
virtualinherited |
applies a locked machine on a set of indices for multiclass problems
Definition at line 252 of file Machine.cpp.
|
virtualinherited |
applies a locked machine on a set of indices for regression problems
Reimplemented in CKernelMachine.
Definition at line 245 of file Machine.cpp.
|
virtualinherited |
applies a locked machine on a set of indices for structured problems
Definition at line 259 of file Machine.cpp.
|
virtual |
apply machine to data in means of multiclass classification problem
Reimplemented from CMachine.
Definition at line 42 of file RelaxedTree.cpp.
|
protectedvirtual |
apply to one instance.
Note this method is not made public so that not be called from external source. This is because preparation have to be done before calling this (mainly setup the kernel for submachines).
Reimplemented from CMachine.
Definition at line 73 of file RelaxedTree.cpp.
|
virtualinherited |
apply machine to data in means of regression problem
Reimplemented in CKernelMachine, CWDSVMOcas, COnlineLinearMachine, CNeuralNetwork, CCHAIDTree, CStochasticGBMachine, CCARTree, CLinearMachine, CGaussianProcessRegression, and CBaggingMachine.
Definition at line 214 of file Machine.cpp.
|
virtualinherited |
apply machine to data in means of SO classification problem
Reimplemented in CLinearStructuredOutputMachine.
Definition at line 226 of file Machine.cpp.
|
inherited |
Builds a dictionary of all parameters in SGObject as well of those of SGObjects that are parameters of this object. Dictionary maps parameters to the objects that own them.
dict | dictionary of parameters to be built. |
Definition at line 597 of file SGObject.cpp.
|
virtualinherited |
Creates a clone of the current object. This is done via recursively traversing all parameters, which corresponds to a deep copy. Calling equals on the cloned object always returns true although none of the memory of both objects overlaps.
Definition at line 714 of file SGObject.cpp.
|
inherited |
color label space
Definition at line 399 of file RelaxedTree.cpp.
compute score
Definition at line 264 of file RelaxedTree.cpp.
Locks the machine on given labels and data. After this call, only train_locked and apply_locked may be called
Only possible if supports_locking() returns true
labs | labels used for locking |
features | features used for locking |
Reimplemented in CKernelMachine.
Definition at line 112 of file Machine.cpp.
|
virtualinherited |
Unlocks a locked machine and restores previous state
Reimplemented in CKernelMachine.
Definition at line 143 of file Machine.cpp.
|
virtualinherited |
A deep copy. All the instance variables will also be copied.
Definition at line 198 of file SGObject.cpp.
|
protected |
enforce balance constraints lower
Definition at line 711 of file RelaxedTree.cpp.
|
protected |
enforce balance constraints upper
Definition at line 522 of file RelaxedTree.cpp.
Recursively compares the current SGObject to another one. Compares all registered numerical parameters, recursion upon complex (SGObject) parameters. Does not compare pointers!
May be overwritten but please do with care! Should not be necessary in most cases.
other | object to compare with |
accuracy | accuracy to use for comparison (optional) |
tolerant | allows linient check on float equality (within accuracy) |
Definition at line 618 of file SGObject.cpp.
evaluate binary model K
Definition at line 901 of file RelaxedTree.cpp.
float64_t get_A | ( | ) | const |
int32_t get_B | ( | ) | const |
|
virtualinherited |
get classifier type
Reimplemented in CLaRank, CSVMLight, CDualLibQPBMSOSVM, CNeuralNetwork, CCCSOSVM, CLeastAngleRegression, CLDA, CKernelRidgeRegression, CLibLinearMTL, CBaggingMachine, CLibLinear, CGaussianProcessClassification, CKMeans, CLibSVR, CQDA, CGaussianNaiveBayes, CSVRLight, CMCLDA, CLinearRidgeRegression, CKNN, CScatterSVM, CGaussianProcessRegression, CSGDQN, CSVMSGD, CSVMOcas, COnlineSVMSGD, CLeastSquaresRegression, CMKLRegression, CDomainAdaptationSVMLinear, CMKLMulticlass, CWDSVMOcas, CHierarchical, CMKLOneClass, CLibSVM, CStochasticSOSVM, CMKLClassification, CDomainAdaptationSVM, CLPBoost, CPerceptron, CAveragedPerceptron, CFWSOSVM, CNewtonSVM, CLPM, CGMNPSVM, CSVMLightOneClass, CSVMLin, CMulticlassLibSVM, CLibSVMOneClass, CMPDSVM, CGPBTSVM, CGNPPSVM, and CCPLEXSVM.
Definition at line 92 of file Machine.cpp.
|
inherited |
|
inherited |
|
inherited |
|
virtualinherited |
|
virtualinherited |
get problem type
Reimplemented from CMachine.
Reimplemented in CCHAIDTree, and CCARTree.
Definition at line 32 of file BaseMulticlassMachine.cpp.
int32_t get_max_num_iter | ( | ) | const |
get max number of iteration in alternating optimization
Definition at line 167 of file RelaxedTree.h.
|
inherited |
|
inherited |
Definition at line 498 of file SGObject.cpp.
|
inherited |
Returns description of a given parameter string, if it exists. SG_ERROR otherwise
param_name | name of the parameter |
Definition at line 522 of file SGObject.cpp.
|
inherited |
Returns index of model selection parameter with provided index
param_name | name of model selection parameter |
Definition at line 535 of file SGObject.cpp.
|
virtual |
get name
Reimplemented from CTreeMachine< RelaxedTreeNodeData >.
Definition at line 46 of file RelaxedTree.h.
|
inherited |
get number of machines
Definition at line 27 of file BaseMulticlassMachine.cpp.
|
inherited |
|
inherited |
float64_t get_svm_C | ( | ) | const |
float64_t get_svm_epsilon | ( | ) | const |
|
protected |
init node
Definition at line 361 of file RelaxedTree.cpp.
|
inherited |
|
virtualinherited |
If the SGSerializable is a class template then TRUE will be returned and GENERIC is set to the type of the generic.
generic | set to the type of the generic if returning TRUE |
Definition at line 296 of file SGObject.cpp.
|
virtualinherited |
check whether the labels is valid.
lab | the labels being checked, guaranteed to be non-NULL |
Reimplemented from CMachine.
Reimplemented in CCARTree, and CCHAIDTree.
Definition at line 37 of file BaseMulticlassMachine.cpp.
|
virtualinherited |
Load this object from file. If it will fail (returning FALSE) then this object will contain inconsistent data and should not be used!
file | where to load from |
prefix | prefix for members |
Definition at line 369 of file SGObject.cpp.
|
protectedvirtualinherited |
Can (optionally) be overridden to post-initialize some member variables which are not PARAMETER::ADD'ed. Make sure that at first the overridden method BASE_CLASS::LOAD_SERIALIZABLE_POST is called.
ShogunException | will be thrown if an error occurs. |
Reimplemented in CKernel, CWeightedDegreePositionStringKernel, CList, CAlphabet, CLinearHMM, CGaussianKernel, CInverseMultiQuadricKernel, CCircularKernel, and CExponentialKernel.
Definition at line 426 of file SGObject.cpp.
|
protectedvirtualinherited |
Can (optionally) be overridden to pre-initialize some member variables which are not PARAMETER::ADD'ed. Make sure that at first the overridden method BASE_CLASS::LOAD_SERIALIZABLE_PRE is called.
ShogunException | will be thrown if an error occurs. |
Reimplemented in CDynamicArray< T >, CDynamicArray< float64_t >, CDynamicArray< float32_t >, CDynamicArray< int32_t >, CDynamicArray< char >, CDynamicArray< bool >, and CDynamicObjectArray.
Definition at line 421 of file SGObject.cpp.
|
virtualinherited |
Definition at line 262 of file SGObject.cpp.
|
inherited |
prints all parameter registered for model selection and their type
Definition at line 474 of file SGObject.cpp.
|
virtualinherited |
prints registered parameters out
prefix | prefix for members |
Definition at line 308 of file SGObject.cpp.
|
virtualinherited |
Save this object to file.
file | where to save the object; will be closed during returning if PREFIX is an empty string. |
prefix | prefix for members |
Definition at line 314 of file SGObject.cpp.
|
protectedvirtualinherited |
Can (optionally) be overridden to post-initialize some member variables which are not PARAMETER::ADD'ed. Make sure that at first the overridden method BASE_CLASS::SAVE_SERIALIZABLE_POST is called.
ShogunException | will be thrown if an error occurs. |
Reimplemented in CKernel.
Definition at line 436 of file SGObject.cpp.
|
protectedvirtualinherited |
Can (optionally) be overridden to pre-initialize some member variables which are not PARAMETER::ADD'ed. Make sure that at first the overridden method BASE_CLASS::SAVE_SERIALIZABLE_PRE is called.
ShogunException | will be thrown if an error occurs. |
Reimplemented in CKernel, CDynamicArray< T >, CDynamicArray< float64_t >, CDynamicArray< float32_t >, CDynamicArray< int32_t >, CDynamicArray< char >, CDynamicArray< bool >, and CDynamicObjectArray.
Definition at line 431 of file SGObject.cpp.
void set_A | ( | float64_t | A | ) |
set parameter A for controlling the trade-off of encouraging more classes to participating the discriminating at each level (i.e. not be ignored). See eq (1) in the paper.
A |
Definition at line 129 of file RelaxedTree.h.
void set_B | ( | int32_t | B | ) |
set parameter B for constraining the inbalance of binary colorization. See eq (1) in the paper.
B |
Definition at line 145 of file RelaxedTree.h.
void set_features | ( | CDenseFeatures< float64_t > * | feats | ) |
|
inherited |
Definition at line 41 of file SGObject.cpp.
|
inherited |
Definition at line 46 of file SGObject.cpp.
|
inherited |
Definition at line 51 of file SGObject.cpp.
|
inherited |
Definition at line 56 of file SGObject.cpp.
|
inherited |
Definition at line 61 of file SGObject.cpp.
|
inherited |
Definition at line 66 of file SGObject.cpp.
|
inherited |
Definition at line 71 of file SGObject.cpp.
|
inherited |
Definition at line 76 of file SGObject.cpp.
|
inherited |
Definition at line 81 of file SGObject.cpp.
|
inherited |
Definition at line 86 of file SGObject.cpp.
|
inherited |
Definition at line 91 of file SGObject.cpp.
|
inherited |
Definition at line 96 of file SGObject.cpp.
|
inherited |
Definition at line 101 of file SGObject.cpp.
|
inherited |
Definition at line 106 of file SGObject.cpp.
|
inherited |
Definition at line 111 of file SGObject.cpp.
|
inherited |
set generic type to T
|
inherited |
|
inherited |
set the parallel object
parallel | parallel object to use |
Definition at line 241 of file SGObject.cpp.
|
inherited |
set the version object
version | version object to use |
Definition at line 283 of file SGObject.cpp.
|
virtual |
|
virtual |
set labels
lab | labels |
Reimplemented from CMachine.
Definition at line 75 of file RelaxedTree.h.
void set_machine_for_confusion_matrix | ( | CBaseMulticlassMachine * | machine | ) |
set machine for confusion matrix
machine | the multiclass machine for initializing the confusion matrix |
Definition at line 87 of file RelaxedTree.h.
void set_max_num_iter | ( | int32_t | n_iter | ) |
set max number of iteration in alternating optimization
n_iter | number of iterations |
Definition at line 160 of file RelaxedTree.h.
|
inherited |
set maximum training time
t | maximimum training time |
Definition at line 82 of file Machine.cpp.
|
inherited |
|
inherited |
|
virtualinherited |
Setter for store-model-features-after-training flag
store_model | whether model should be stored after training |
Definition at line 107 of file Machine.cpp.
void set_svm_C | ( | float64_t | C | ) |
set SVM C: parameter for relax variables. See eq (1) in the paper.
C | svm C |
Definition at line 97 of file RelaxedTree.h.
void set_svm_epsilon | ( | float64_t | epsilon | ) |
|
virtualinherited |
A shallow copy. All the SGObject instance variables will be simply assigned and SG_REF-ed.
Reimplemented in CGaussianKernel.
Definition at line 192 of file SGObject.cpp.
|
protectedvirtualinherited |
enable unlocked cross-validation - no model features to store
Reimplemented from CMachine.
Definition at line 152 of file TreeMachine.h.
|
virtualinherited |
Reimplemented in CKernelMachine, and CMultitaskLinearMachine.
|
virtual |
train machine
data | training data (parameter can be avoided if distance or kernel-based classifiers are used and distance/kernels are initialized with train data). If flag is set, model features will be stored after training. |
Reimplemented from CMachine.
Definition at line 181 of file RelaxedTree.h.
Trains a locked machine on a set of indices. Error if machine is not locked
NOT IMPLEMENTED
indices | index vector (of locked features) that is used for training |
Reimplemented in CKernelMachine, and CMultitaskLinearMachine.
|
protectedvirtual |
train machine
data | training data |
Reimplemented from CMachine.
Definition at line 129 of file RelaxedTree.cpp.
|
protected |
train node
Definition at line 213 of file RelaxedTree.cpp.
|
protected |
train node with initialization
Definition at line 281 of file RelaxedTree.cpp.
|
protectedvirtualinherited |
returns whether machine require labels for training
Reimplemented in COnlineLinearMachine, CHierarchical, CLinearLatentMachine, CVwConditionalProbabilityTree, CConditionalProbabilityTree, and CLibSVMOneClass.
|
inherited |
unset generic type
this has to be called in classes specializing a template class
Definition at line 303 of file SGObject.cpp.
|
virtualinherited |
Updates the hash of current parameter combination
Definition at line 248 of file SGObject.cpp.
|
inherited |
io
Definition at line 369 of file SGObject.h.
|
protected |
A
Definition at line 227 of file RelaxedTree.h.
|
protected |
B
Definition at line 229 of file RelaxedTree.h.
|
protectedinherited |
|
protected |
features
Definition at line 237 of file RelaxedTree.h.
|
inherited |
parameters wrt which we can compute gradients
Definition at line 384 of file SGObject.h.
|
inherited |
Hash of parameter values
Definition at line 387 of file SGObject.h.
|
protected |
kernel
Definition at line 235 of file RelaxedTree.h.
|
protected |
machine for confusion matrix computation
Definition at line 239 of file RelaxedTree.h.
|
protectedinherited |
machines
Definition at line 56 of file BaseMulticlassMachine.h.
|
protected |
maximum number of iterations
Definition at line 225 of file RelaxedTree.h.
|
protectedinherited |
|
inherited |
model selection parameters
Definition at line 381 of file SGObject.h.
|
protected |
number of classes
Definition at line 241 of file RelaxedTree.h.
|
inherited |
parameters
Definition at line 378 of file SGObject.h.
|
protectedinherited |
tree root
Definition at line 156 of file TreeMachine.h.
|
protectedinherited |
|
protectedinherited |
|
protected |
svm C
Definition at line 231 of file RelaxedTree.h.
|
protected |
svm epsilon
Definition at line 233 of file RelaxedTree.h.
|
inherited |
parallel
Definition at line 372 of file SGObject.h.
|
inherited |
version
Definition at line 375 of file SGObject.h.