Machine Learning Library
Class List
Here are the classes, structs, unions and interfaces with brief descriptions:
[detail level 12]
oNstd
|oCiterator_traits< keyed_iterator< Type > >
|\Citerator_traits< const keyed_iterator< Type > >
oCapi__DirectoryCategory
oCapi__doGetCachedPage
oCapi__doGetCachedPageResponse
oCapi__doGoogleSearch
oCapi__doGoogleSearchResponse
oCapi__doSpellingSuggestion
oCapi__doSpellingSuggestionResponse
oCapi__GoogleSearchResult
oCapi__ResultElement
oCCAngleMetricAngle based metric object
oCCAnovaKernelANOVA kernel function
oCCArchivBase class of object serialization
oCCCartesianTopologyTopology class for n dimensional cartesian grid
oCCChiSquaredKernel
oCCClusterAlgorithmBase class for cluster algorithms
oCCCoCosineMetricCoCosine metric object Template class for metric based on scalar product
oCCConstantRateConstante learn rate Template class for constant learn rates
oCCDatabaseException
oCCDatasetManages pairs of input and output vectors
oCCDatasetItemSingle item of a dataset consisting of a pair of input and out vectors
oCCDatasetStatistic
oCCDenseVectorTemplate object for vectors of single and double precision and integer
oCCDoubleExponentialKernelDouble-Exponential kernel function
oCCEpanechnikovKernel
oCCEuclideanMetricEuclidean metric object
oCCEuclideanMetric2Euclidean2 metric object
oCCException
oCCExponentialRateExponential decreasing learn rate Template class for exponential decreasing learning rates. The learning rate is defined as initial*(final/initial)^(t/tmax).)
oCCFlowItem
oCCGaussianKernelGaussian kernel function
oCCHarmonicRate
oCCHyperbolicMetricHyperbolic metric object
oCCHyperbolicTopologyTopology class describing two dimensional hyperbolic lattice structure
oCCKernelBase class for kernel functions Base class for kernel function used for example by the support vector machine
oCCLearnRateBase class for all learning rate functions Template base class for all learning rates (virtual)
oCCLinearKernelLinear kernel function
oCCLinearRateLinear decreasing learn rate Template class for linear decreasing learning rates
oCCManhattenMetricManhatten metric object
oCCMatrixTemplate object implementing a matrix of single and double precision elements
oCCMaximumMetricMaximum metric object
oCCMetricBase class for metrix objects
oCCMultiVariateGaussianKernel
oCCMysqlDatabase
oCCMysqlDatabaseException
oCCObjectBase class for all object
oCCObjectFactoryProduces objects of given name and type
oCCOptimizerBase class for optimisation techniques; ..
oCCPlummerKernelPlummer kernel function
oCCPolynomialKernelPolynomial kernel function
oCCProjectionBase class for projection algorithms like PCA, ICA, KPCA, etc
oCCScalarMetricScalar metric object Template class for metric based on scalar product
oCCSOMSOM class for Self Organizing Maps with arbitrary topology
oCCSomTopology
oCCSparseVectorSparse, immutable vector representation
oCCTriangularKernelTriangular kernel function
oCCVectorTemplatized vector for numerical applications
oCCVectorOperations
oCDirectoryCategoryArray
oCeuclidean_norm
oCgoogleapi
oCgzstreambase
oCgzstreambuf
oCigzstream
oCkeyed_iterator
oCkeyed_iterator_tag
oCmvGenerator
oCNamespace
oCogzstream
oCRandomNumber
oCResultElementArray
oCsoap
oCsoap_array
oCsoap_attribute
oCsoap_blist
oCsoap_clist
oCsoap_code_map
oCsoap_cookie
oCsoap_dime
oCsoap_dom_attribute
oCsoap_dom_element
oCsoap_double_nan
oCSOAP_ENV__Code
oCSOAP_ENV__Detail
oCSOAP_ENV__Fault
oCSOAP_ENV__Header
oCsoap_flist
oCsoap_ilist
oCsoap_mime
oCsoap_multipart
oCsoap_nlist
oCsoap_plist
oCsoap_plugin
oCstrEqual
\Cxsd__base64Binary