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ID |
Category |
Severity |
Reproducibility |
Date Submitted |
Last Update |
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0000860 |
[ALGLIB] Data analysis |
feature |
have not tried |
2019-07-29 13:35 |
2019-07-29 13:35 |
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Reporter |
SergeyB |
View Status |
public |
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Assigned To |
SergeyB |
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Priority |
normal |
Resolution |
implemented |
Platform |
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Status |
resolved |
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OS |
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Projection |
none |
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OS Version |
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ETA |
none |
Fixed in Version |
3.16.0 |
Product Version |
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Target Version |
3.16.0 |
Product Build |
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Summary |
0000860: IMPLEMENTED: compressed storage format for random forests (3.7x-5.7x memory usage reduction) |
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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. |
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Steps To Reproduce |
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Additional Information |
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Programming language |
Unspecified |
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Attached Files |
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