C++ API Reference for Intel® Data Analytics Acceleration Library 2019
Classes | |
class | DistributedContainer< step2Master, algorithmFPType, method, cpu > |
Class containing methods to train naive Bayes in the distributed processing mode. More... | |
class | Distributed< step, algorithmFPType, method > |
Algorithm class for training naive Bayes model in the distributed processing mode. More... | |
class | Distributed< step1Local, algorithmFPType, method > |
Algorithm class for training Naive Bayes partial model in the distributed processing mode. More... | |
class | Distributed< step2Master, algorithmFPType, method > |
Algorithm class for training naive Bayes final model on the second step in the distributed processing mode. More... | |
Variables | |
template<ComputeStep step, typename algorithmFPType , Method method, CpuType cpu> | |
class DAAL_EXPORT | DistributedContainer |
Class containing methods to compute naive Bayes training results in the distributed processing mode. More... | |
class DAAL_EXPORT DistributedContainer |
algorithmFPType | Data type to use in intermediate computations for the naive Bayes training algorithm in the distributed processing mode, double or float |
method | Naive Bayes training method on the first step in distributed processing mode, Method |
For more complete information about compiler optimizations, see our Optimization Notice.