C++ API Reference for Intel® Data Analytics Acceleration Library 2020 Update 1
Namespaces | |
algorithms | |
Contains classes that implement algorithms for data analysis(data mining), and data modeling(training and prediction). These algorithms include matrix decompositions, clustering algorithms, classification and regression algorithms, as well as association rules discovery. | |
data_management | |
Contains classes that implement data management functionality, including NumericTables, DataSources, and Compression. | |
services | |
Contains classes that implement service functionality, including error handling, memory allocation, and library version information. | |
Classes | |
class | Base |
Base class for Intel(R) Data Analytics Acceleration Library objects More... | |
struct | IsSameType |
struct | IsSameType< U, U > |
Enumerations | |
enum | ComputeMode { batch = 1, distributed = 2, online = 4 } |
enum | ComputeStep { step1Local = 0, step2Master = 1, step3Local = 2, step4Local = 3, step2Local = 5, step3Master = 6, step5Master = 7, step5Local = 8, step6Local = 9, step7Master = 10, step8Local = 11, step9Master = 12, step10Local = 13, step11Local = 14, step12Local = 15, step13Local = 16 } |
enum | MemType { dram = 0, mcdram = 1 } |
enum | CpuType { sse2 = 0, ssse3 = 1, sse42 = 2, avx = 3, avx2 = 4, avx512_mic = 5, avx512 = 6, avx512_mic_e1 = 7 } |
Intel(R) Data Analytics Acceleration Library (Intel(R) DAAL) namespace
file daal_string.h
file error_handling.h
file error_id.h
enum ComputeMode |
enum ComputeStep |
Describes computation steps in the distributed processing mode
enum MemType |
For more complete information about compiler optimizations, see our Optimization Notice.