LibMR, the MetaRecognition library
Project description
libMR provides core MetaRecognition and Weibull fitting functionality. It is used to calculate w-scores used for multi-modal fusion. This version uses object, that retain the “transforms” (including save/load) need to compute the actual w-scores. It includes functions for Prediction, CDF, Inverse, FitHigh (larger is better), FitLow (smaller is better) and FitSVM.
INSTALLATION
pip install libmr
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
libmr-0.1.5.zip
(27.4 kB
view details)
File details
Details for the file libmr-0.1.5.zip
.
File metadata
- Download URL: libmr-0.1.5.zip
- Upload date:
- Size: 27.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5057bccd6b1401f932b88212ba4d00970e2041aa4245dddd1806f033a0e770b0 |
|
MD5 | 49647e1271eae202ad8f442d66f51f8e |
|
BLAKE2b-256 | 07c3b952279a10eb7b0ee3485e30e57ad64211c885be73909fa0cf928eed1ad4 |