Expand description
Sequence and structured prediction models
This module provides algorithms for sequence labeling and structured prediction tasks. It includes Hidden Markov Models (HMM), Structured Perceptron, and Maximum Entropy Markov Models (MEMM) for handling sequential and structured data.
Structs§
- Feature
Function - Feature function for MEMM
- Hidden
Markov Model - Hidden Markov Model for sequence modeling
- Hidden
Markov Model Trained - Trained state for Hidden Markov Model
- Maximum
Entropy Markov Model - Maximum Entropy Markov Model (MEMM) for Sequence Labeling
- Maximum
Entropy Markov Model Trained - Trained state for MEMM
- Structured
Perceptron - Structured Perceptron for sequence labeling
- Structured
Perceptron Trained - Trained state for Structured Perceptron
Enums§
- Feature
Type - Types of features in MEMM