SHOGUN
4.0.0
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Class GaussianNaiveBayes, a Gaussian Naive Bayes classifier.
This classifier assumes that a posteriori conditional probabilities are gaussian pdfs. For each vector gaussian naive bayes chooses the class C with maximal
\[ P(c) \prod_{i} P(x_i|c) \]
在文件 GaussianNaiveBayes.h 第 37 行定义.
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 bool | train_machine (CFeatures *data=NULL) |
void | init_strategy () |
void | clear_machines () |
virtual bool | init_machine_for_train (CFeatures *data) |
virtual bool | init_machines_for_apply (CFeatures *data) |
virtual bool | is_ready () |
virtual CMachine * | get_machine_from_trained (CMachine *machine) |
virtual int32_t | get_num_rhs_vectors () |
virtual void | add_machine_subset (SGVector< index_t > subset) |
virtual void | remove_machine_subset () |
virtual bool | is_acceptable_machine (CMachine *machine) |
virtual void | store_model_features () |
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) |
Protected 属性 | |
CDotFeatures * | m_features |
features for training or classifying 更多... | |
int32_t | m_min_label |
minimal label 更多... | |
int32_t | m_num_classes |
number of different classes (labels) 更多... | |
int32_t | m_dim |
dimensionality of feature space 更多... | |
SGMatrix< float64_t > | m_means |
means for normal distributions of features 更多... | |
SGMatrix< float64_t > | m_variances |
variances for normal distributions of features 更多... | |
SGVector< float64_t > | m_label_prob |
a priori probabilities of labels 更多... | |
SGVector< float64_t > | m_rates |
label rates 更多... | |
CMulticlassStrategy * | m_multiclass_strategy |
CMachine * | m_machine |
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 |
default constructor
在文件 GaussianNaiveBayes.cpp 第 21 行定义.
CGaussianNaiveBayes | ( | CFeatures * | train_examples, |
CLabels * | train_labels | ||
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constructor
train_examples | train examples |
train_labels | labels corresponding to train_examples |
在文件 GaussianNaiveBayes.cpp 第 28 行定义.
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virtual |
destructor
在文件 GaussianNaiveBayes.cpp 第 42 行定义.
set subset to the features of the machine, deletes old one
subset | subset indices to set |
实现了 CMulticlassMachine.
在文件 NativeMulticlassMachine.h 第 68 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 160 行定义.
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virtualinherited |
apply machine to data in means of binary classification problem
被 CKernelMachine, COnlineLinearMachine, CWDSVMOcas, CNeuralNetwork, CLinearMachine, CGaussianProcessClassification, CDomainAdaptationSVMLinear, CPluginEstimate , 以及 CBaggingMachine 重载.
在文件 Machine.cpp 第 216 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 240 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 195 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 246 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 274 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 260 行定义.
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virtualinherited |
applies a locked machine on a set of indices for regression problems
被 CKernelMachine 重载.
在文件 Machine.cpp 第 253 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 267 行定义.
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virtual |
classify specified examples
data | examples to be classified |
重载 CMulticlassMachine .
在文件 GaussianNaiveBayes.cpp 第 175 行定义.
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classifiy specified example
idx | example index |
重载 CMulticlassMachine .
在文件 GaussianNaiveBayes.cpp 第 199 行定义.
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apply machine to data in means of regression problem
被 CKernelMachine, CWDSVMOcas, COnlineLinearMachine, CNeuralNetwork, CCHAIDTree, CStochasticGBMachine, CCARTree, CLinearMachine, CGaussianProcessRegression , 以及 CBaggingMachine 重载.
在文件 Machine.cpp 第 222 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 234 行定义.
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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. |
在文件 SGObject.cpp 第 1243 行定义.
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protectedinherited |
clear machines
在文件 NativeMulticlassMachine.h 第 47 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 1360 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 120 行定义.
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virtualinherited |
Unlocks a locked machine and restores previous state
被 CKernelMachine 重载.
在文件 Machine.cpp 第 151 行定义.
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A deep copy. All the instance variables will also be copied.
在文件 SGObject.cpp 第 200 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) |
tolerant | allows linient check on float equality (within accuracy) |
在文件 SGObject.cpp 第 1264 行定义.
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get problem type
重载 CMachine .
被 CCHAIDTree , 以及 CCARTree 重载.
在文件 BaseMulticlassMachine.cpp 第 32 行定义.
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inherited |
在文件 SGObject.cpp 第 1135 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 1159 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 1172 行定义.
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protectedvirtualinherited |
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get prob output heuristic of multiclass strategy
在文件 MulticlassMachine.h 第 145 行定义.
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get output of i-th submachine for num-th vector
i | number of submachine |
num | number of feature vector |
在文件 MulticlassMachine.cpp 第 80 行定义.
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get outputs of i-th submachine
i | number of submachine |
被 CDomainAdaptationMulticlassLibLinear 重载.
在文件 MulticlassMachine.cpp 第 71 行定义.
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protectedvirtualinherited |
abstract init machine for training method
实现了 CMulticlassMachine.
在文件 NativeMulticlassMachine.h 第 50 行定义.
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protectedvirtualinherited |
abstract init machines for applying method
实现了 CMulticlassMachine.
在文件 NativeMulticlassMachine.h 第 53 行定义.
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protectedinherited |
init strategy
在文件 NativeMulticlassMachine.h 第 44 行定义.
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whether the machine is acceptable in set_machine
重载 CMulticlassMachine .
在文件 NativeMulticlassMachine.h 第 74 行定义.
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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 |
在文件 SGObject.cpp 第 297 行定义.
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check whether the labels is valid.
lab | the labels being checked, guaranteed to be non-NULL |
重载 CMachine .
被 CCARTree , 以及 CCHAIDTree 重载.
在文件 BaseMulticlassMachine.cpp 第 37 行定义.
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inherited |
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 704 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 545 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 374 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 occurs. |
被 CKernel, CWeightedDegreePositionStringKernel, CList, CAlphabet, CLinearHMM, CGaussianKernel, CInverseMultiQuadricKernel, CCircularKernel , 以及 CExponentialKernel 重载.
在文件 SGObject.cpp 第 1062 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 occurs. |
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 1057 行定义.
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inherited |
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 742 行定义.
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protectedvirtualinherited |
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 949 行定义.
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protectedvirtualinherited |
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 889 行定义.
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在文件 SGObject.cpp 第 263 行定义.
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prints all parameter registered for model selection and their type
在文件 SGObject.cpp 第 1111 行定义.
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deletes any subset set to the features of the machine
实现了 CMulticlassMachine.
在文件 NativeMulticlassMachine.h 第 71 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 315 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 occurs. |
被 CKernel 重载.
在文件 SGObject.cpp 第 1072 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 occurs. |
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 1067 行定义.
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在文件 SGObject.cpp 第 42 行定义.
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在文件 SGObject.cpp 第 47 行定义.
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在文件 SGObject.cpp 第 52 行定义.
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在文件 SGObject.cpp 第 57 行定义.
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在文件 SGObject.cpp 第 62 行定义.
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在文件 SGObject.cpp 第 67 行定义.
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在文件 SGObject.cpp 第 72 行定义.
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在文件 SGObject.cpp 第 77 行定义.
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在文件 SGObject.cpp 第 82 行定义.
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在文件 SGObject.cpp 第 87 行定义.
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在文件 SGObject.cpp 第 92 行定义.
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在文件 SGObject.cpp 第 97 行定义.
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在文件 SGObject.cpp 第 102 行定义.
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在文件 SGObject.cpp 第 107 行定义.
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在文件 SGObject.cpp 第 112 行定义.
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set generic type to T
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set machine
num | index of machine |
machine | machine to set |
在文件 MulticlassMachine.h 第 59 行定义.
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set prob output heuristic of multiclass strategy
prob_heuris | type of probability heuristic |
在文件 MulticlassMachine.h 第 153 行定义.
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sets rejection strategy
rejection_strategy | rejection strategy to be set |
在文件 MulticlassMachine.h 第 133 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 115 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.cpp 第 194 行定义.
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Stores feature data of underlying model. After this method has been called, it is possible to change the machine's feature data and call apply(), which is then performed on the training feature data that is part of the machine's model.
Base method, has to be implemented in order to allow cross-validation and model selection.
NOT IMPLEMENTED! Has to be done in subclasses
被 CKernelMachine, CKNN, CLinearMulticlassMachine, CTreeMachine< T >, CTreeMachine< ConditionalProbabilityTreeNodeData >, CTreeMachine< RelaxedTreeNodeData >, CTreeMachine< id3TreeNodeData >, CTreeMachine< VwConditionalProbabilityTreeNodeData >, CTreeMachine< CARTreeNodeData >, CTreeMachine< C45TreeNodeData >, CTreeMachine< CHAIDTreeNodeData >, CTreeMachine< NbodyTreeNodeData >, CLinearMachine, CGaussianProcessMachine, CHierarchical, CDistanceMachine, CKernelMulticlassMachine , 以及 CLinearStructuredOutputMachine 重载.
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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, CAutoencoder, CSGDQN , 以及 COnlineSVMSGD 重载.
在文件 Machine.cpp 第 47 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 classifier
data | train examples |
重载 CMulticlassMachine .
在文件 GaussianNaiveBayes.cpp 第 63 行定义.
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returns whether machine require labels for training
被 COnlineLinearMachine, 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 304 行定义.
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Updates the hash of current parameter combination
在文件 SGObject.cpp 第 250 行定义.
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io
在文件 SGObject.h 第 496 行定义.
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dimensionality of feature space
在文件 GaussianNaiveBayes.h 第 111 行定义.
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features for training or classifying
在文件 GaussianNaiveBayes.h 第 102 行定义.
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parameters wrt which we can compute gradients
在文件 SGObject.h 第 511 行定义.
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Hash of parameter values
在文件 SGObject.h 第 517 行定义.
a priori probabilities of labels
在文件 GaussianNaiveBayes.h 第 120 行定义.
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machine
在文件 MulticlassMachine.h 第 208 行定义.
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machines
在文件 BaseMulticlassMachine.h 第 56 行定义.
means for normal distributions of features
在文件 GaussianNaiveBayes.h 第 114 行定义.
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minimal label
在文件 GaussianNaiveBayes.h 第 105 行定义.
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model selection parameters
在文件 SGObject.h 第 508 行定义.
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type of multiclass strategy
在文件 MulticlassMachine.h 第 205 行定义.
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number of different classes (labels)
在文件 GaussianNaiveBayes.h 第 108 行定义.
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map for different parameter versions
在文件 SGObject.h 第 514 行定义.
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parameters
在文件 SGObject.h 第 505 行定义.
label rates
在文件 GaussianNaiveBayes.h 第 123 行定义.
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variances for normal distributions of features
在文件 GaussianNaiveBayes.h 第 117 行定义.
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parallel
在文件 SGObject.h 第 499 行定义.
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version
在文件 SGObject.h 第 502 行定义.