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

• PolynomialRegression.csv

• BinaryClassification.csv