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ML Library Implementation

I am trying to implement the functionalities of a ml library from scratch only using C++ standard libraries. Currently library can read data from .csv files only.

Implemented features

  • Polynomial Features
  • SGD, SGD with momentum, AdaGrad, RMSProp, Adam optimizers
  • Linear Regression
  • MSE, MAE, Huber Loss for regression tasks
  • Lasso, Ridge, Elastic Net Regressions (as a loss function for Linear Regression model)
  • Binary Logistic Regression
  • BCE loss for binary classification

Datasets used in examples