🔥 TOP 10 Priority - Most popular ML algorithm #4

Overview

Implement Support Vector Machine (SVM) for classification, finding optimal hyperplanes to separate classes.

Implementation Details

• Linear SVM (optimal hyperplane)
• Kernel trick support (RBF, polynomial, linear)
• SMO (Sequential Minimal Optimization) solver
• Multi-class via One-vs-Rest
• Regularization parameter C

References

• Maximum-margin classifier
• Effective in high-dimensional spaces
• Kernel methods for non-linear boundaries

Acceptance Criteria

• LinearSVM struct
• Kernel SVM struct
• fit/predict/decision_function
• Multi-class support
• Comprehensive tests (EXTREME TDD)
• Example: svm_iris.rs
• Book chapter: ml-fundamentals/svm.md

Priority Justification

SVM is #4 in industry usage per Analytics Vidhya 2025 ranking

Note

This is a complex algorithm - may need external library like libsvm or custom SMO implementation