A CRF model training tool for labeling sequential data.. #Data label #CRF model trainer #Machine learning #Model #Trainer #Label
CRFSuite is a command line utility designed to implement the Conditional Random Fields model in data labeling operations. The program aims to help you train CRF models by using simple data formats.
It supports multiple training methods such as Limited-memory BFGS, Stochastic Gradient Descent and Adaptive Regularization Of Weight Vector.
What's new in CRFSuite 0.12:
- [CORE] Optimized the implementation for faster training; approximately 1.4-1.5 x speed up.
- [CORE] Faster routine for computing exp(x) using SSE2.
- [CORE] Restructured the source code to separate routines for CRF graphical models and training algorithms; this is an initial attempt for implementing CRFs with different feature types (e.g., 2nd-order CRF, 1st-order transition features conditioned on observations) and different training algorithms.
- [CORE] Implemented new training algorithms: Averaged Perceptron, Passive Aggressive, and Adaptive Regularization of Weights (AROW).
CRFSuite 0.12
add to watchlist add to download basket send us an update REPORT- runs on:
- Windows All
- file size:
- 52 KB
- filename:
- crfsuite-0.12_win32.zip
1 screenshot:
- main category:
- Science / CAD
- developer:
- visit homepage
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