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|
ID |
Category |
Severity |
Reproducibility |
Date Submitted |
Last Update |
0000860 |
[ALGLIB] Data analysis |
feature |
have not tried |
2019-07-29 13:35 |
2019-07-29 13:35 |
|
Reporter |
SergeyB |
View Status |
public |
|
Assigned To |
SergeyB |
Priority |
normal |
Resolution |
implemented |
|
Status |
resolved |
|
Product Version |
|
|
Summary |
0000860: IMPLEMENTED: compressed storage format for random forests (3.7x-5.7x memory usage reduction) |
Description |
New compressed storage format for random forests allows to achieve 3.7x-5.7x reduction in RAM usage due to several binary compression techniques being applied.
The only downsides of the approach are (a) slight reduction in model accuracy due to rounding to 24-bit floating point format, and (b) ~1.5x reduction in the inference speed. |
Additional Information |
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|
Programming language |
Unspecified |
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Attached Files |
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