C++ API Reference for Intel® Data Analytics Acceleration Library 2018 Update 2
Contains version 1.0 of the Intel(R) Data Analytics Acceleration Library (Intel(R) DAAL) interface.
Classes | |
class | Batch |
Computes initial clusters for the K-Means algorithm in the batch processing mode. More... | |
class | BatchContainer |
Provides methods to run implementations of initialization of the K-Means algorithm. This class is associated with the daal::algorithms::kmeans::init::Batch class and supports the method of computing initial clusters for the K-Means algorithm in the batch processing mode. More... | |
class | Distributed< step1Local, algorithmFPType, method > |
Computes initial clusters for the K-Means algorithm in the first step of the distributed processing mode. More... | |
class | Distributed< step2Local, algorithmFPType, method > |
Computes initial clusters for the K-Means algorithm in the 2nd step of the distributed processing mode. Used with plusPlus and parallelPlus methods only on a local node. More... | |
class | Distributed< step2Master, algorithmFPType, method > |
Computes initial clusters for the K-Means algorithm in the 2nd step of the distributed processing mode. More... | |
class | Distributed< step3Master, algorithmFPType, method > |
Computes initial clusters for the K-Means algorithm in the 3rd step of the distributed processing mode. Used with plusPlus and parallelPlus methods only on the master node. More... | |
class | Distributed< step4Local, algorithmFPType, method > |
Computes initial clusters for the K-Means algorithm in the 4th step of the distributed processing mode. Used with plusPlus and parallelPlus methods only on a local node. More... | |
class | Distributed< step5Master, algorithmFPType, method > |
Computes initial clusters for the K-Means algorithm in the 5th step of the distributed processing mode. Used with parallelPlus method only. More... | |
class | DistributedContainer< step1Local, algorithmFPType, method, cpu > |
Class containing methods for computing initial clusters for the K-Means algorithm in the first step of the distributed processing mode. More... | |
class | DistributedContainer< step2Local, algorithmFPType, method, cpu > |
Class containing methods for computing initial clusters for the K-Means algorithm in the 2nd step of the distributed processing mode performed on a local node. More... | |
class | DistributedContainer< step2Master, algorithmFPType, method, cpu > |
Class containing methods for computing initial clusters for the K-Means algorithm in the 2nd step of the distributed processing mode. More... | |
class | DistributedContainer< step3Master, algorithmFPType, method, cpu > |
Class containing methods for computing initial clusters for the K-Means algorithm in the 3rd step of the distributed processing mode performed on the master mode. More... | |
class | DistributedContainer< step4Local, algorithmFPType, method, cpu > |
Class containing methods for computing initial clusters for the K-Means algorithm in the 4th step of the distributed processing mode performed on a local node. More... | |
class | DistributedContainer< step5Master, algorithmFPType, method, cpu > |
Class containing methods for computing initial clusters for the K-Means algorithm in the 5th step of the distributed processing mode performed on the master node. More... | |
class | DistributedStep2LocalPlusPlusInput |
Interface for the K-Means initialization distributed Input classes used with plusPlus and parallelPlus methods only on the 2nd step on a local node. More... | |
struct | DistributedStep2LocalPlusPlusParameter |
Parameters for computing initial centroids for the K-Means algorithm. More... | |
class | DistributedStep2LocalPlusPlusPartialResult |
Partial results obtained with the compute() method of the K-Means algorithm in the distributed processing mode. More... | |
class | DistributedStep2MasterInput |
Input objects for computing initials clusters for the K-Means algorithm in the second step of the distributed processing mode More... | |
class | DistributedStep3MasterPlusPlusInput |
Interface for the K-Means distributed Input classes used with plusPlus and parallelPlus methods only on the 3rd step on a master node. More... | |
class | DistributedStep3MasterPlusPlusPartialResult |
Partial results obtained with the compute() method of the K-Means algorithm in the distributed processing mode. More... | |
class | DistributedStep4LocalPlusPlusInput |
Interface for the K-Means distributed Input classes used with plusPlus and parallelPlus methods only on the 4th step on a local node. More... | |
class | DistributedStep4LocalPlusPlusPartialResult |
Partial results obtained with the compute() method of the K-Means algorithm in the distributed processing mode. More... | |
class | DistributedStep5MasterPlusPlusInput |
Interface for the K-Means distributed Input classes. More... | |
class | DistributedStep5MasterPlusPlusPartialResult |
Partial results obtained with the compute() method of the K-Means algorithm in the distributed processing mode. More... | |
class | Input |
Input objects for computing initial centroids for the K-Means algorithm More... | |
class | InputIface |
Interface for the K-Means initialization batch and distributed Input classes. More... | |
struct | Parameter |
Parameters for computing initial centroids for the K-Means algorithm. More... | |
class | PartialResult |
Partial results obtained with the compute() method of the K-Means algorithm in the batch processing mode. More... | |
class | Result |
Results obtained with the compute() method that computes initial centroids for the K-Means algorithm in the batch processing mode. More... | |
Variables | |
template<ComputeStep step, typename algorithmFPType , Method method, CpuType cpu> | |
class DAAL_EXPORT | DistributedContainer |
Provides methods to run implementations of initialization of the K-Means algorithm. This class is associated with the daal::algorithms::kmeans::init::Distributed class and supports the method of computing initial clusters for the K-Means algorithm in the distributed processing mode. More... | |
template<ComputeStep step, typename algorithmFPType = DAAL_ALGORITHM_FP_TYPE, Method method = defaultDense> | |
class DAAL_EXPORT | Distributed |
Computes initial clusters for the K-Means algorithm in the distributed processing mode. More... | |
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