Expand description
Ensemble Learning for Bifurcation Classification
This module contains ensemble learning methods, feature selection, and cross-validation configurations for bifurcation prediction.
Structs§
- Bifurcation
Ensemble Classifier - Advanced ensemble learning for bifurcation classification
- Cross
Validation Config - Cross-validation configuration
- Feature
Selection Config - Feature selection configuration
Enums§
- Base
Classifier - Base classifier types for ensemble
- Distance
Metric - Distance metrics for KNN
- Ensemble
Training Strategy - Ensemble training strategies
- Feature
Selection Method - Feature selection methods
- KNNWeights
- KNN weight functions
- Meta
Learner - Meta-learner for ensemble combination
- SVMKernel
- SVM kernel types
- Score
Function - Statistical score functions for feature selection