C++ API Reference for Intel® Data Analytics Acceleration Library 2019 Update 5
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.