This repository contains a collection of metrics for evaluating machine learning models and algorithms in Julialang. All the metrics are made from the ground up, and are not based on any existing library.
Loss Function | Full Form | Implemented |
---|---|---|
mse | Mean Squared Error | ☑️ |
mae | Mean Absolute Error | ☑️ |
rmse | Mean Squared Error | ☑️ |
rmae | Root Mean Squared Error | ☑️ |
rmsle | Root Mean Squared Logarithmic Error | ☑️ |
r2score | R square score | ☑️ |