Python* API Reference for Intel® Data Analytics Acceleration Library 2019
Main module.
Namespaces | |
| algorithms | |
| algorithms | |
Classes | |
| class | Base |
| Base class for Intel(R) Data Analytics Acceleration Library objects More... | |
Variables | |
| batch = ... | |
| distributed = ... | |
| online = ... | |
| step1Local = ... | |
| step2Master = ... | |
| step3Local = ... | |
| step4Local = ... | |
| step2Local = ... | |
| step3Master = ... | |
| step5Master = ... | |
| dram = ... | |
| mcdram = ... | |
| batch = ... |
Batch processing computation mode
| distributed = ... |
Processing of data sets distributed across several devices
| dram = ... |
DRAM
| mcdram = ... |
Multi-Channel DRAM
| online = ... |
Online mode - processing of data sets in blocks
| step1Local = ... |
First step of the distributed processing mode
| step2Local = ... |
Second step of the distributed processing mode performed by local node
| step2Master = ... |
Second step of the distributed processing mode
| step3Local = ... |
Third step of the distributed processing mode
| step3Master = ... |
Third step of the distributed processing mode performed by master node
| step4Local = ... |
Fourth step of the distributed processing mode
| step5Master = ... |
Fifth step of the distributed processing mode performed by master node
For more complete information about compiler optimizations, see our Optimization Notice.