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FlexNN 1
Fully connected neural network built from scratch with flexible n-layer design and multiple activations.
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Utility functions for FlexNN — CSV, one-hot, and deterministic splits. More...
#include <cstdint>#include <string>#include <vector>#include <Eigen/Dense>

Go to the source code of this file.
Namespaces | |
| namespace | FlexNN |
| Namespace for the FlexNN neural network library. | |
Functions | |
| Eigen::MatrixXd | FlexNN::oneHotEncode (const Eigen::VectorXd &Y, int num_classes) |
| One-hot encodes a vector of class labels. | |
| void | FlexNN::readCSV_XY (const std::string &filename, Eigen::MatrixXd &X, Eigen::VectorXd &Y) |
| Reads a CSV where first column is label, rest are features. | |
| void | FlexNN::setRandomSeed (uint32_t seed) |
Set the global RNG seed for splitXY (deterministic splits). | |
| uint32_t | FlexNN::getRandomSeed () noexcept |
| Get the current global RNG seed. | |
| std::vector< std::pair< Eigen::MatrixXd, Eigen::VectorXd > > | FlexNN::splitXY (const Eigen::MatrixXd &X, const Eigen::VectorXd &Y, const std::vector< double > &proportions) |
| Splits dataset into multiple sets by proportions (uses global seed). | |
| std::vector< std::pair< Eigen::MatrixXd, Eigen::VectorXd > > | FlexNN::splitXY (const Eigen::MatrixXd &X, const Eigen::VectorXd &Y, const std::vector< double > &proportions, uint32_t seed) |
| Splits dataset with explicit seed (deterministic, no global state). | |
Utility functions for FlexNN — CSV, one-hot, and deterministic splits.
Adds setRandomSeed/getRandomSeed so splitXY is deterministic when a seed is set, while keeping the old splitXY(X,Y,props) signature for backward compat (uses the global seed). See LLD_FLEXNN §8.