SHOGUN
6.1.3
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class LibSVMOneClass
Definition at line 25 of file LibSVMOneClass.h.
Public Types | |
typedef rxcpp::subjects::subject< ObservedValue > | SGSubject |
typedef rxcpp::observable< ObservedValue, rxcpp::dynamic_observable< ObservedValue > > | SGObservable |
typedef rxcpp::subscriber< ObservedValue, rxcpp::observer< ObservedValue, void, void, void, void > > | SGSubscriber |
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 | |
virtual bool | train_require_labels () const |
virtual bool | train_machine (CFeatures *data=NULL) |
virtual float64_t * | get_linear_term_array () |
SGVector< float64_t > | apply_get_outputs (CFeatures *data) |
virtual void | store_model_features () |
virtual bool | is_label_valid (CLabels *lab) const |
rxcpp::subscription | connect_to_signal_handler () |
void | reset_computation_variables () |
virtual void | on_next () |
virtual void | on_pause () |
virtual void | on_complete () |
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) |
template<typename T > | |
void | register_param (Tag< T > &_tag, const T &value) |
template<typename T > | |
void | register_param (const std::string &name, const T &value) |
bool | clone_parameters (CSGObject *other) |
void | observe (const ObservedValue value) |
void | register_observable_param (const std::string &name, const SG_OBS_VALUE_TYPE type, const std::string &description) |
Protected Attributes | |
SGVector< float64_t > | m_linear_term |
bool | svm_loaded |
float64_t | epsilon |
float64_t | tube_epsilon |
float64_t | nu |
float64_t | C1 |
float64_t | C2 |
float64_t | objective |
int32_t | qpsize |
bool | use_shrinking |
bool(* | callback )(CMKL *mkl, const float64_t *sumw, const float64_t suma) |
CMKL * | mkl |
CKernel * | kernel |
CCustomKernel * | m_custom_kernel |
CKernel * | m_kernel_backup |
bool | use_batch_computation |
bool | use_linadd |
bool | use_bias |
float64_t | m_bias |
SGVector< float64_t > | m_alpha |
SGVector< int32_t > | m_svs |
float64_t | m_max_train_time |
CLabels * | m_labels |
ESolverType | m_solver_type |
bool | m_store_model_features |
bool | m_data_locked |
std::atomic< bool > | m_cancel_computation |
std::atomic< bool > | m_pause_computation_flag |
std::condition_variable | m_pause_computation |
std::mutex | m_mutex |
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Definition at line 130 of file SGObject.h.
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Definition at line 127 of file SGObject.h.
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Definition at line 133 of file SGObject.h.
CLibSVMOneClass | ( | ) |
default constructor
Definition at line 17 of file LibSVMOneClass.cpp.
CLibSVMOneClass | ( | float64_t | C, |
CKernel * | k | ||
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Definition at line 27 of file LibSVMOneClass.cpp.
apply machine to data if data is not specified apply to the current features
data | (test)data to be classified |
Definition at line 159 of file Machine.cpp.
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apply kernel machine to data for binary classification task
data | (test)data to be classified |
Reimplemented from CMachine.
Reimplemented in CDomainAdaptationSVM.
Definition at line 253 of file KernelMachine.cpp.
apply get outputs
data | features to compute outputs |
Definition at line 259 of file KernelMachine.cpp.
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apply machine to data in means of latent problem
Reimplemented in CLinearLatentMachine.
Definition at line 239 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 194 of file Machine.cpp.
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Applies a locked machine on a set of indices. Error if machine is not locked. Binary case
indices | index vector (of locked features) that is predicted |
Reimplemented from CMachine.
Definition at line 470 of file KernelMachine.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 483 of file KernelMachine.cpp.
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applies a locked machine on a set of indices for latent problems
Definition at line 273 of file Machine.cpp.
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applies a locked machine on a set of indices for multiclass problems
Definition at line 259 of file Machine.cpp.
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Applies a locked machine on a set of indices. Error if machine is not locked. Binary case
indices | index vector (of locked features) that is predicted |
Reimplemented from CMachine.
Definition at line 476 of file KernelMachine.cpp.
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applies a locked machine on a set of indices for structured problems
Definition at line 266 of file Machine.cpp.
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apply machine to data in means of multiclass classification problem
Reimplemented in CNeuralNetwork, CCHAIDTree, CCARTree, CGaussianProcessClassification, CKNN, CMulticlassMachine, CC45ClassifierTree, CID3ClassifierTree, CQDA, CDistanceMachine, CVwConditionalProbabilityTree, CGaussianNaiveBayes, CConditionalProbabilityTree, CMCLDA, CRelaxedTree, and CBaggingMachine.
Definition at line 227 of file Machine.cpp.
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apply kernel machine to one example
num | which example to apply to |
Reimplemented from CMachine.
Definition at line 559 of file KernelMachine.cpp.
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apply kernel machine to data for regression task
data | (test)data to be classified |
Reimplemented from CMachine.
Definition at line 247 of file KernelMachine.cpp.
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apply machine to data in means of SO classification problem
Reimplemented in CLinearStructuredOutputMachine.
Definition at line 233 of file Machine.cpp.
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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. |
Definition at line 635 of file SGObject.cpp.
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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.
Reimplemented in CDynamicArray< T >, CDynamicArray< float64_t >, CDynamicArray< float32_t >, CDynamicArray< int32_t >, CDynamicArray< char >, CDynamicArray< bool >, CDynamicObjectArray, CAlphabet, and CMKL.
Definition at line 734 of file SGObject.cpp.
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Definition at line 759 of file SGObject.cpp.
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connect the machine instance to the signal handler
Definition at line 280 of file Machine.cpp.
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create new model
num | number of alphas and support vectors in new model |
Definition at line 199 of file KernelMachine.cpp.
Locks the machine on given labels and data. After this call, only train_locked and apply_locked may be called.
Computes kernel matrix to speed up train/apply calls
labs | labels used for locking |
features | features used for locking |
Reimplemented from CMachine.
Definition at line 578 of file KernelMachine.cpp.
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Unlocks a locked machine and restores previous state
Reimplemented from CMachine.
Definition at line 609 of file KernelMachine.cpp.
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A deep copy. All the instance variables will also be copied.
Definition at line 232 of file SGObject.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 656 of file SGObject.cpp.
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Getter for a class parameter, identified by a Tag. Throws an exception if the class does not have such a parameter.
_tag | name and type information of parameter |
Definition at line 381 of file SGObject.h.
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Getter for a class parameter, identified by a name. Throws an exception if the class does not have such a parameter.
name | name of the parameter |
Definition at line 404 of file SGObject.h.
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get alpha at given index
idx | index of alpha |
Definition at line 145 of file KernelMachine.cpp.
Definition at line 194 of file KernelMachine.cpp.
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check if batch computation is enabled
Definition at line 104 of file KernelMachine.cpp.
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get classifier type
Reimplemented from CMachine.
Definition at line 43 of file LibSVMOneClass.h.
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check if linadd is enabled
Definition at line 114 of file KernelMachine.cpp.
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returns type of problem machine solves
Reimplemented in CNeuralNetwork, CRandomForest, CCHAIDTree, CCARTree, and CBaseMulticlassMachine.
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Definition at line 536 of file SGObject.cpp.
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Returns description of a given parameter string, if it exists. SG_ERROR otherwise
param_name | name of the parameter |
Definition at line 560 of file SGObject.cpp.
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Returns index of model selection parameter with provided index
param_name | name of model selection parameter |
Definition at line 573 of file SGObject.cpp.
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get number of support vectors
Definition at line 174 of file KernelMachine.cpp.
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get support vector at given index
idx | index of support vector |
Definition at line 139 of file KernelMachine.cpp.
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Definition at line 189 of file KernelMachine.cpp.
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Checks if object has a class parameter identified by a name.
name | name of the parameter |
Definition at line 304 of file SGObject.h.
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Checks if object has a class parameter identified by a Tag.
tag | tag of the parameter containing name and type information |
Definition at line 315 of file SGObject.h.
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Checks if a type exists for a class parameter identified by a name.
name | name of the parameter |
Definition at line 326 of file SGObject.h.
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initialise kernel optimisation
Definition at line 216 of file KernelMachine.cpp.
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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 330 of file SGObject.cpp.
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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 |
Reimplemented in CNeuralNetwork, CCARTree, CCHAIDTree, CGaussianProcessRegression, and CBaseMulticlassMachine.
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Print to stdout a list of observable parameters
Definition at line 878 of file SGObject.cpp.
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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 |
Definition at line 403 of file SGObject.cpp.
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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 460 of file SGObject.cpp.
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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 455 of file SGObject.cpp.
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problem type
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Observe a parameter value and emit them to observer.
value | Observed parameter's value |
Definition at line 828 of file SGObject.cpp.
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Definition at line 296 of file SGObject.cpp.
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prints all parameter registered for model selection and their type
Definition at line 512 of file SGObject.cpp.
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prints registered parameters out
prefix | prefix for members |
Definition at line 342 of file SGObject.cpp.
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Register which params this object can emit.
name | the param name |
type | the param type |
description | a user oriented description |
Definition at line 871 of file SGObject.cpp.
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Registers a class parameter which is identified by a tag. This enables the parameter to be modified by set() and retrieved by get(). Parameters can be registered in the constructor of the class.
_tag | name and type information of parameter |
value | value of the parameter |
Definition at line 472 of file SGObject.h.
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Registers a class parameter which is identified by a name. This enables the parameter to be modified by set() and retrieved by get(). Parameters can be registered in the constructor of the class.
name | name of the parameter |
value | value of the parameter along with type information |
Definition at line 485 of file SGObject.h.
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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 |
Definition at line 348 of file SGObject.cpp.
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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 occurs. |
Reimplemented in CKernel.
Definition at line 470 of file SGObject.cpp.
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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 occurs. |
Reimplemented in CKernel, CDynamicArray< T >, CDynamicArray< float64_t >, CDynamicArray< float32_t >, CDynamicArray< int32_t >, CDynamicArray< char >, CDynamicArray< bool >, and CDynamicObjectArray.
Definition at line 465 of file SGObject.cpp.
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Setter for a class parameter, identified by a Tag. Throws an exception if the class does not have such a parameter.
_tag | name and type information of parameter |
value | value of the parameter |
Definition at line 342 of file SGObject.h.
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Setter for a class parameter, identified by a name. Throws an exception if the class does not have such a parameter.
name | name of the parameter |
value | value of the parameter along with type information |
Definition at line 368 of file SGObject.h.
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set alpha at given index to given value
idx | index of alpha vector |
val | new value of alpha vector |
Definition at line 164 of file KernelMachine.cpp.
set alphas to given values
alphas | float vector with all alphas to set |
Definition at line 179 of file KernelMachine.cpp.
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set batch computation enabled
enable | if batch computation shall be enabled |
Definition at line 99 of file KernelMachine.cpp.
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set state of bias
enable_bias | if bias shall be enabled |
Definition at line 119 of file KernelMachine.cpp.
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Definition at line 73 of file SGObject.cpp.
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Definition at line 78 of file SGObject.cpp.
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Definition at line 83 of file SGObject.cpp.
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Definition at line 88 of file SGObject.cpp.
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Definition at line 93 of file SGObject.cpp.
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Definition at line 98 of file SGObject.cpp.
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Definition at line 103 of file SGObject.cpp.
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Definition at line 108 of file SGObject.cpp.
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Definition at line 113 of file SGObject.cpp.
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Definition at line 118 of file SGObject.cpp.
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Definition at line 123 of file SGObject.cpp.
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Definition at line 128 of file SGObject.cpp.
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Definition at line 133 of file SGObject.cpp.
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Definition at line 138 of file SGObject.cpp.
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Definition at line 143 of file SGObject.cpp.
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set generic type to T
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set the parallel object
parallel | parallel object to use |
Definition at line 275 of file SGObject.cpp.
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set the version object
version | version object to use |
Definition at line 317 of file SGObject.cpp.
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set labels
lab | labels |
Reimplemented in CNeuralNetwork, CGaussianProcessMachine, CCARTree, CStructuredOutputMachine, CRelaxedTree, and CMulticlassMachine.
Definition at line 72 of file Machine.cpp.
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set linadd enabled
enable | if linadd shall be enabled |
Definition at line 109 of file KernelMachine.cpp.
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set maximum training time
t | maximimum training time |
Definition at line 89 of file Machine.cpp.
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Setter for store-model-features-after-training flag
store_model | whether model should be stored after training |
Definition at line 114 of file Machine.cpp.
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set support vector at given index to given value
idx | index of support vector |
val | new value of support vector |
Definition at line 154 of file KernelMachine.cpp.
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set support vectors to given values
svs | integer vector with all support vectors indexes to set |
Definition at line 184 of file KernelMachine.cpp.
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A shallow copy. All the SGObject instance variables will be simply assigned and SG_REF-ed.
Reimplemented in CGaussianKernel.
Definition at line 226 of file SGObject.cpp.
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Stores feature data of the SV indices and sets it to the lhs of the underlying kernel. Then, all SV indices are set to identity.
May be overwritten by subclasses in case the model should be stored differently.
Reimplemented from CMachine.
Definition at line 405 of file KernelMachine.cpp.
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Subscribe a parameter observer to watch over params
Definition at line 811 of file SGObject.cpp.
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Reimplemented from CMachine.
Definition at line 654 of file KernelMachine.cpp.
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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. |
Reimplemented in CRelaxedTree, CAutoencoder, CLinearMachine, CSGDQN, and COnlineSVMSGD.
Definition at line 43 of file Machine.cpp.
Trains a locked machine on a set of indices. Error if machine is not locked
indices | index vector (of locked features) that is used for training |
Reimplemented from CMachine.
Definition at line 434 of file KernelMachine.cpp.
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train SVM
data | training data (parameter can be avoided if distance or kernel-based classifiers are used and distance/kernels are initialized with train data) |
Reimplemented from CMachine.
Definition at line 31 of file LibSVMOneClass.cpp.
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returns whether machine require labels for training
Reimplemented from CMachine.
Definition at line 50 of file LibSVMOneClass.h.
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decrement reference counter and deallocate object if refcount is zero before or after decrementing it
Definition at line 200 of file SGObject.cpp.
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unset generic type
this has to be called in classes specializing a template class
Definition at line 337 of file SGObject.cpp.
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Updates the hash of current parameter combination
Definition at line 282 of file SGObject.cpp.
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io
Definition at line 600 of file SGObject.h.
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kernel
Definition at line 307 of file KernelMachine.h.
coefficients alpha
Definition at line 328 of file KernelMachine.h.
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bias term b
Definition at line 325 of file KernelMachine.h.
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is filled with pre-computed custom kernel on data lock
Definition at line 310 of file KernelMachine.h.
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parameters wrt which we can compute gradients
Definition at line 615 of file SGObject.h.
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Hash of parameter values
Definition at line 618 of file SGObject.h.
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old kernel is stored here on data lock
Definition at line 313 of file KernelMachine.h.
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model selection parameters
Definition at line 612 of file SGObject.h.
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parameters
Definition at line 609 of file SGObject.h.
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array of ``support vectors'' (indices of feature objects)
Definition at line 331 of file KernelMachine.h.
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parallel
Definition at line 603 of file SGObject.h.
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if batch computation is enabled
Definition at line 316 of file KernelMachine.h.
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if bias shall be used
Definition at line 322 of file KernelMachine.h.
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if linadd is enabled
Definition at line 319 of file KernelMachine.h.
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version
Definition at line 606 of file SGObject.h.