A generic DistanceMachine interface.
A distance machine is based on a a-priori choosen distance.
在文件 DistanceMachine.h 第 34 行定义.
Public 成员函数 | |
CDistanceMachine () | |
virtual | ~CDistanceMachine () |
void | set_distance (CDistance *d) |
CDistance * | get_distance () const |
void | distances_lhs (float64_t *result, int32_t idx_a1, int32_t idx_a2, int32_t idx_b) |
void | distances_rhs (float64_t *result, int32_t idx_b1, int32_t idx_b2, int32_t idx_a) |
virtual const char * | get_name () const |
virtual CMulticlassLabels * | apply_multiclass (CFeatures *data=NULL) |
virtual float64_t | apply_one (int32_t num) |
virtual bool | train (CFeatures *data=NULL) |
virtual CLabels * | apply (CFeatures *data=NULL) |
virtual CBinaryLabels * | apply_binary (CFeatures *data=NULL) |
virtual CRegressionLabels * | apply_regression (CFeatures *data=NULL) |
virtual CStructuredLabels * | apply_structured (CFeatures *data=NULL) |
virtual CLatentLabels * | apply_latent (CFeatures *data=NULL) |
virtual void | set_labels (CLabels *lab) |
virtual CLabels * | get_labels () |
void | set_max_train_time (float64_t t) |
float64_t | get_max_train_time () |
virtual EMachineType | get_classifier_type () |
void | set_solver_type (ESolverType st) |
ESolverType | get_solver_type () |
virtual void | set_store_model_features (bool store_model) |
virtual bool | train_locked (SGVector< index_t > indices) |
virtual CLabels * | apply_locked (SGVector< index_t > indices) |
virtual CBinaryLabels * | apply_locked_binary (SGVector< index_t > indices) |
virtual CRegressionLabels * | apply_locked_regression (SGVector< index_t > indices) |
virtual CMulticlassLabels * | apply_locked_multiclass (SGVector< index_t > indices) |
virtual CStructuredLabels * | apply_locked_structured (SGVector< index_t > indices) |
virtual CLatentLabels * | apply_locked_latent (SGVector< index_t > indices) |
virtual void | data_lock (CLabels *labs, CFeatures *features) |
virtual void | post_lock (CLabels *labs, CFeatures *features) |
virtual void | data_unlock () |
virtual bool | supports_locking () const |
bool | is_data_locked () const |
virtual EProblemType | get_machine_problem_type () const |
virtual CSGObject * | shallow_copy () const |
virtual CSGObject * | deep_copy () const |
virtual bool | is_generic (EPrimitiveType *generic) const |
template<class T > | |
void | set_generic () |
template<> | |
void | set_generic () |
template<> | |
void | set_generic () |
template<> | |
void | set_generic () |
template<> | |
void | set_generic () |
template<> | |
void | set_generic () |
template<> | |
void | set_generic () |
template<> | |
void | set_generic () |
template<> | |
void | set_generic () |
template<> | |
void | set_generic () |
template<> | |
void | set_generic () |
template<> | |
void | set_generic () |
template<> | |
void | set_generic () |
template<> | |
void | set_generic () |
template<> | |
void | set_generic () |
template<> | |
void | set_generic () |
void | unset_generic () |
virtual void | print_serializable (const char *prefix="") |
virtual bool | save_serializable (CSerializableFile *file, const char *prefix="", int32_t param_version=Version::get_version_parameter()) |
virtual bool | load_serializable (CSerializableFile *file, const char *prefix="", int32_t param_version=Version::get_version_parameter()) |
DynArray< TParameter * > * | load_file_parameters (const SGParamInfo *param_info, int32_t file_version, CSerializableFile *file, const char *prefix="") |
DynArray< TParameter * > * | load_all_file_parameters (int32_t file_version, int32_t current_version, CSerializableFile *file, const char *prefix="") |
void | map_parameters (DynArray< TParameter * > *param_base, int32_t &base_version, DynArray< const SGParamInfo * > *target_param_infos) |
void | set_global_io (SGIO *io) |
SGIO * | get_global_io () |
void | set_global_parallel (Parallel *parallel) |
Parallel * | get_global_parallel () |
void | set_global_version (Version *version) |
Version * | get_global_version () |
SGStringList< char > | get_modelsel_names () |
void | print_modsel_params () |
char * | get_modsel_param_descr (const char *param_name) |
index_t | get_modsel_param_index (const char *param_name) |
void | build_gradient_parameter_dictionary (CMap< TParameter *, CSGObject * > *dict) |
virtual bool | update_parameter_hash () |
virtual bool | equals (CSGObject *other, float64_t accuracy=0.0) |
virtual CSGObject * | clone () |
Public 属性 | |
SGIO * | io |
Parallel * | parallel |
Version * | version |
Parameter * | m_parameters |
Parameter * | m_model_selection_parameters |
Parameter * | m_gradient_parameters |
ParameterMap * | m_parameter_map |
uint32_t | m_hash |
Protected 成员函数 | |
virtual void | store_model_features () |
virtual bool | train_machine (CFeatures *data=NULL) |
virtual bool | is_label_valid (CLabels *lab) const |
virtual bool | train_require_labels () const |
virtual TParameter * | migrate (DynArray< TParameter * > *param_base, const SGParamInfo *target) |
virtual void | one_to_one_migration_prepare (DynArray< TParameter * > *param_base, const SGParamInfo *target, TParameter *&replacement, TParameter *&to_migrate, char *old_name=NULL) |
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) |
静态 Protected 成员函数 | |
static void * | run_distance_thread_lhs (void *p) |
static void * | run_distance_thread_rhs (void *p) |
Protected 属性 | |
CDistance * | distance |
float64_t | m_max_train_time |
CLabels * | m_labels |
ESolverType | m_solver_type |
bool | m_store_model_features |
bool | m_data_locked |
CDistanceMachine | ( | ) |
default constructor
在文件 DistanceMachine.cpp 第 28 行定义.
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destructor
在文件 DistanceMachine.cpp 第 34 行定义.
apply machine to data if data is not specified apply to the current features
data | (test)data to be classified |
在文件 Machine.cpp 第 162 行定义.
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apply machine to data in means of binary classification problem
被 CKernelMachine, COnlineLinearMachine, CWDSVMOcas, CLinearMachine, CDomainAdaptationSVMLinear, CPluginEstimate, CGaussianProcessBinaryClassification , 以及 CBaggingMachine 重载.
在文件 Machine.cpp 第 218 行定义.
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apply machine to data in means of latent problem
被 CLinearLatentMachine 重载.
在文件 Machine.cpp 第 242 行定义.
Applies a locked machine on a set of indices. Error if machine is not locked
indices | index vector (of locked features) that is predicted |
在文件 Machine.cpp 第 197 行定义.
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virtualinherited |
applies a locked machine on a set of indices for binary problems
被 CKernelMachine , 以及 CMultitaskLinearMachine 重载.
在文件 Machine.cpp 第 248 行定义.
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virtualinherited |
applies a locked machine on a set of indices for latent problems
在文件 Machine.cpp 第 276 行定义.
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applies a locked machine on a set of indices for multiclass problems
在文件 Machine.cpp 第 262 行定义.
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applies a locked machine on a set of indices for regression problems
被 CKernelMachine 重载.
在文件 Machine.cpp 第 255 行定义.
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applies a locked machine on a set of indices for structured problems
在文件 Machine.cpp 第 269 行定义.
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Classify all provided features. Cluster index with smallest distance to to be classified element is returned
data | (test)data to be classified |
重载 CMachine .
被 CKNN 重载.
在文件 DistanceMachine.cpp 第 207 行定义.
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Apply machine to one example. Cluster index with smallest distance to to be classified element is returned
num | which example to apply machine to |
重载 CMachine .
被 CKNN 重载.
在文件 DistanceMachine.cpp 第 233 行定义.
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apply machine to data in means of regression problem
被 CKernelMachine, CWDSVMOcas, COnlineLinearMachine, CLinearMachine, CGaussianProcessRegression , 以及 CBaggingMachine 重载.
在文件 Machine.cpp 第 224 行定义.
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apply machine to data in means of SO classification problem
被 CLinearStructuredOutputMachine 重载.
在文件 Machine.cpp 第 236 行定义.
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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. |
在文件 SGObject.cpp 第 1195 行定义.
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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.
在文件 SGObject.cpp 第 1312 行定义.
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 |
被 CKernelMachine 重载.
在文件 Machine.cpp 第 122 行定义.
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Unlocks a locked machine and restores previous state
被 CKernelMachine 重载.
在文件 Machine.cpp 第 153 行定义.
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virtualinherited |
A deep copy. All the instance variables will also be copied.
在文件 SGObject.h 第 159 行定义.
void distances_lhs | ( | float64_t * | result, |
int32_t | idx_a1, | ||
int32_t | idx_a2, | ||
int32_t | idx_b | ||
) |
get distance functions for lhs feature vectors going from a1 to a2 and rhs feature vector b
result | array of distance values |
idx_a1 | first feature vector a1 at idx_a1 |
idx_a2 | last feature vector a2 at idx_a2 |
idx_b | feature vector b at idx_b |
在文件 DistanceMachine.cpp 第 51 行定义.
void distances_rhs | ( | float64_t * | result, |
int32_t | idx_b1, | ||
int32_t | idx_b2, | ||
int32_t | idx_a | ||
) |
get distance functions for rhs feature vectors going from b1 to b2 and lhs feature vector a
result | array of distance values |
idx_b1 | first feature vector a1 at idx_b1 |
idx_b2 | last feature vector a2 at idx_b2 |
idx_a | feature vector a at idx_a |
在文件 DistanceMachine.cpp 第 113 行定义.
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) |
在文件 SGObject.cpp 第 1216 行定义.
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virtualinherited |
get classifier type
被 CLaRank, CDualLibQPBMSOSVM, CCCSOSVM, CLeastAngleRegression, CKernelRidgeRegression, CLibLinearMTL, CBaggingMachine, CLibSVR, CLDA, CQDA, CLibLinear, CGaussianNaiveBayes, CMCLDA, CLinearRidgeRegression, CKNN, CScatterSVM, CGaussianProcessRegression, CKMeans, CSGDQN, CSVMSGD, CSVMOcas, CMKLMulticlass, COnlineSVMSGD, CLeastSquaresRegression, CDomainAdaptationSVMLinear, CMKLRegression, CWDSVMOcas, CHierarchical, CStochasticSOSVM, CLPBoost, CMKLClassification, CMKLOneClass, CLibSVM, CPerceptron, CAveragedPerceptron, CLPM, CNewtonSVM, CSVMLin, CGMNPSVM, CMulticlassLibSVM, CGPBTSVM, CLibSVMOneClass, CGNPPSVM, CMPDSVM , 以及 CCPLEXSVM 重载.
在文件 Machine.cpp 第 102 行定义.
CDistance * get_distance | ( | ) | const |
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在文件 SGObject.cpp 第 1099 行定义.
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Returns description of a given parameter string, if it exists. SG_ERROR otherwise
param_name | name of the parameter |
在文件 SGObject.cpp 第 1123 行定义.
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Returns index of model selection parameter with provided index
param_name | name of model selection parameter |
在文件 SGObject.cpp 第 1136 行定义.
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Returns the name of the SGSerializable instance. It MUST BE the CLASS NAME without the prefixed `C'.
重载 CMachine .
被 CKNN, CKMeans, CHierarchical , 以及 CNearestCentroid 重载.
在文件 DistanceMachine.h 第 82 行定义.
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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 |
在文件 SGObject.cpp 第 267 行定义.
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protectedvirtualinherited |
check whether the labels is valid.
Subclasses can override this to implement their check of label types.
lab | the labels being checked, guaranteed to be non-NULL |
被 CGaussianProcessRegression , 以及 CBaseMulticlassMachine 重载.
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maps all parameters of this instance to the provided file version and loads all parameter data from the file into an array, which is sorted (basically calls load_file_parameter(...) for all parameters and puts all results into a sorted array)
file_version | parameter version of the file |
current_version | version from which mapping begins (you want to use Version::get_version_parameter() for this in most cases) |
file | file to load from |
prefix | prefix for members |
在文件 SGObject.cpp 第 672 行定义.
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loads some specified parameters from a file with a specified version The provided parameter info has a version which is recursively mapped until the file parameter version is reached. Note that there may be possibly multiple parameters in the mapping, therefore, a set of TParameter instances is returned
param_info | information of parameter |
file_version | parameter version of the file, must be <= provided parameter version |
file | file to load from |
prefix | prefix for members |
在文件 SGObject.cpp 第 513 行定义.
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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 |
param_version | (optional) a parameter version different to (this is mainly for testing, better do not use) |
在文件 SGObject.cpp 第 344 行定义.
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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 occurres. |
被 CWeightedDegreePositionStringKernel, CKernel, CList, CAlphabet, CLinearHMM, CGaussianKernel, CInverseMultiQuadricKernel, CCircularKernel , 以及 CExponentialKernel 重载.
在文件 SGObject.cpp 第 1028 行定义.
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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 occurres. |
被 CDynamicArray< T >, CDynamicArray< float64_t >, CDynamicArray< float32_t >, CDynamicArray< int32_t >, CDynamicArray< char >, CDynamicArray< bool > , 以及 CDynamicObjectArray 重载.
在文件 SGObject.cpp 第 1023 行定义.
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Takes a set of TParameter instances (base) with a certain version and a set of target parameter infos and recursively maps the base level wise to the current version using CSGObject::migrate(...). The base is replaced. After this call, the base version containing parameters should be of same version/type as the initial target parameter infos. Note for this to work, the migrate methods and all the internal parameter mappings have to match
param_base | set of TParameter instances that are mapped to the provided target parameter infos |
base_version | version of the parameter base |
target_param_infos | set of SGParamInfo instances that specify the target parameter base |
在文件 SGObject.cpp 第 710 行定义.
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creates a new TParameter instance, which contains migrated data from the version that is provided. The provided parameter data base is used for migration, this base is a collection of all parameter data of the previous version. Migration is done FROM the data in param_base TO the provided param info Migration is always one version step. Method has to be implemented in subclasses, if no match is found, base method has to be called.
If there is an element in the param_base which equals the target, a copy of the element is returned. This represents the case when nothing has changed and therefore, the migrate method is not overloaded in a subclass
param_base | set of TParameter instances to use for migration |
target | parameter info for the resulting TParameter |
在文件 SGObject.cpp 第 917 行定义.
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This method prepares everything for a one-to-one parameter migration. One to one here means that only ONE element of the parameter base is needed for the migration (the one with the same name as the target). Data is allocated for the target (in the type as provided in the target SGParamInfo), and a corresponding new TParameter instance is written to replacement. The to_migrate pointer points to the single needed TParameter instance needed for migration. If a name change happened, the old name may be specified by old_name. In addition, the m_delete_data flag of to_migrate is set to true. So if you want to migrate data, the only thing to do after this call is converting the data in the m_parameter fields. If unsure how to use - have a look into an example for this. (base_migration_type_conversion.cpp for example)
param_base | set of TParameter instances to use for migration |
target | parameter info for the resulting TParameter |
replacement | (used as output) here the TParameter instance which is returned by migration is created into |
to_migrate | the only source that is used for migration |
old_name | with this parameter, a name change may be specified |
在文件 SGObject.cpp 第 857 行定义.
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prints all parameter registered for model selection and their type
在文件 SGObject.cpp 第 1075 行定义.
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thread function for computing distance values
p | thread parameter |
在文件 DistanceMachine.cpp 第 175 行定义.
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staticprotected |
thread function for computing distance values
p | thread parameter |
在文件 DistanceMachine.cpp 第 191 行定义.
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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 |
param_version | (optional) a parameter version different to (this is mainly for testing, better do not use) |
在文件 SGObject.cpp 第 285 行定义.
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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 occurres. |
被 CKernel 重载.
在文件 SGObject.cpp 第 1038 行定义.
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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 occurres. |
被 CKernel, CDynamicArray< T >, CDynamicArray< float64_t >, CDynamicArray< float32_t >, CDynamicArray< int32_t >, CDynamicArray< char >, CDynamicArray< bool > , 以及 CDynamicObjectArray 重载.
在文件 SGObject.cpp 第 1033 行定义.
void set_distance | ( | CDistance * | d | ) |
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在文件 SGObject.cpp 第 40 行定义.
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在文件 SGObject.cpp 第 45 行定义.
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在文件 SGObject.cpp 第 50 行定义.
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inherited |
在文件 SGObject.cpp 第 55 行定义.
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inherited |
在文件 SGObject.cpp 第 60 行定义.
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在文件 SGObject.cpp 第 65 行定义.
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在文件 SGObject.cpp 第 70 行定义.
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在文件 SGObject.cpp 第 75 行定义.
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在文件 SGObject.cpp 第 80 行定义.
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在文件 SGObject.cpp 第 85 行定义.
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在文件 SGObject.cpp 第 90 行定义.
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在文件 SGObject.cpp 第 95 行定义.
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在文件 SGObject.cpp 第 100 行定义.
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在文件 SGObject.cpp 第 105 行定义.
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在文件 SGObject.cpp 第 110 行定义.
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set generic type to T
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set labels
lab | labels |
被 CGaussianProcessMachine, CStructuredOutputMachine, CRelaxedTree , 以及 CMulticlassMachine 重载.
在文件 Machine.cpp 第 75 行定义.
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Setter for store-model-features-after-training flag
store_model | whether model should be stored after training |
在文件 Machine.cpp 第 117 行定义.
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A shallow copy. All the SGObject instance variables will be simply assigned and SG_REF-ed.
被 CGaussianKernel 重载.
在文件 SGObject.h 第 150 行定义.
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Ensures cluster centers are in lhs of underlying distance
NOT IMPLEMENTED! Base method. Is called automatically after train because flag is always true for distance machines. Since every distance machine has to make sure that cluster centers are in lhs of distance variable, it is unimplemented here and HAS to be implemented in subclasses.
重载 CMachine .
被 CKNN, CKMeans , 以及 CHierarchical 重载.
在文件 DistanceMachine.cpp 第 275 行定义.
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被 CKernelMachine , 以及 CMultitaskLinearMachine 重载.
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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. |
被 CRelaxedTree, CSGDQN , 以及 COnlineSVMSGD 重载.
在文件 Machine.cpp 第 49 行定义.
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 |
被 CKernelMachine , 以及 CMultitaskLinearMachine 重载.
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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) |
NOT IMPLEMENTED!
被 CLaRank, CWDSVMOcas, CLibLinearMTL, CMKL, COnlineLinearMachine, CDualLibQPBMSOSVM, CPluginEstimate, CRelaxedTree, CKNN, CSVMOcas, CLeastAngleRegression, CCCSOSVM, CLibLinear, CMKLMulticlass, CMulticlassMachine, CQDA, CSVMSGD, CKMeans, CMulticlassLibLinear, CVowpalWabbit, CLibLinearRegression, CMCLDA, CKernelRidgeRegression, CDomainAdaptationSVMLinear, CLDA, CBaggingMachine, CMultitaskLinearMachine, CHierarchical, CMulticlassOCAS, CMulticlassTreeGuidedLogisticRegression, CLibSVR, CLPBoost, CLinearLatentMachine, CNewtonSVM, CSVMLin, CFeatureBlockLogisticRegression, CScatterSVM, CLinearRidgeRegression, CStochasticSOSVM, CLPM, CMultitaskLogisticRegression, CGaussianNaiveBayes, CMultitaskClusteredLogisticRegression, CNearestCentroid, CGaussianProcessRegression, CMulticlassLogisticRegression, CVwConditionalProbabilityTree, CMultitaskLeastSquaresRegression, CConditionalProbabilityTree, CMultitaskL12LogisticRegression, CPerceptron, CAveragedPerceptron, CGMNPSVM, CMultitaskTraceLogisticRegression, CLibSVM, CShareBoost, CLibSVMOneClass, CMulticlassLibSVM, CGPBTSVM, CGNPPSVM, CMPDSVM , 以及 CCPLEXSVM 重载.
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returns whether machine require labels for training
被 COnlineLinearMachine, CKMeans, CHierarchical, CLinearLatentMachine, CVwConditionalProbabilityTree, CConditionalProbabilityTree , 以及 CLibSVMOneClass 重载.
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unset generic type
this has to be called in classes specializing a template class
在文件 SGObject.cpp 第 274 行定义.
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Updates the hash of current parameter combination.
在文件 SGObject.cpp 第 226 行定义.
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the distance
在文件 DistanceMachine.h 第 133 行定义.
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io
在文件 SGObject.h 第 513 行定义.
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parameters wrt which we can compute gradients
在文件 SGObject.h 第 528 行定义.
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Hash of parameter values
在文件 SGObject.h 第 534 行定义.
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model selection parameters
在文件 SGObject.h 第 525 行定义.
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map for different parameter versions
在文件 SGObject.h 第 531 行定义.
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parameters
在文件 SGObject.h 第 522 行定义.
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parallel
在文件 SGObject.h 第 516 行定义.
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version
在文件 SGObject.h 第 519 行定义.