A personal collection of ML pieces of code in case they help somebody.
- Optimize/Satisfy Early Stopping Criteria: a multi-objective early stopping criterion for training algorithms based on the optimize/satisfy principle.
- Prediction Confidence: very simple linear transformation from predicted probabilities to degrees of confidence in the prediction.
- Ordinal Regression: transformations over the model inputs and outputs to support ordinal regression with any multilabel classifier.