👉 Reglowed is a term used in the field of data science and machine learning. It refers to a type of model that uses only a subset of the features from the entire dataset, resulting in a reduced amount of information being captured by the model. This approach can help improve the accuracy and interpretability of a model by reducing the complexity of the model and making it easier for humans to understand its predictions. One common application of reglowed is in anomaly detection where the model learns to identify patterns