/home/runner/work/deep-learning-algo-impls/deep-learning-algo-impls/include/ml/ml.hpp

#include "ml/ml.hpp"
 
using namespace ml;
using namespace utils;
 
// PCA for dimensionality reduction
PCA<double> pca;
Matrix<double> data = \/* your data *\/;
pca.fit(data);
Matrix<double> reduced = pca.transform(data, 2);
 
// K-Means clustering
KMeans<double> kmeans(3);
std::vector<int> labels = kmeans.fit_predict(data);
 
// SVM classification
SVM<double> svm(KernelType::RBF);
std::vector<int> targets = \/* your labels *\/;
svm.fit(data, targets);
std::vector<int> predictions = svm.predict(test_data);

#pragma once
 
#include "kmeans.hpp"
#include "pca.hpp"
#include "svm.hpp"
 
namespace ml {
    // All algorithm classes are already defined in their respective headers
    // This file serves as a convenient single include point
}