📄️ simClassify
simClassify+ uses a learned distance function (Metric Learning) instead of simClassify's predefined distance functions.
📄️ simClassify+ Data Type Specifications
Data type specifications simClassify and simClassify+ accept for each column, including ID, CLASS, REAL, and NOMINAL.
📄️ simClassify+ Model Specifications
simClassify+ model specifications for the blended metric, including Iterations and Learning Rate hyperparameters.
📄️ simClassify+ Folds / Grids
simClassify+ parameters are tuned using grids, folds, and Auto Tune the same way as simClassify's.
📄️ simClassify Input / Output
simClassify requires ID and Class columns; queries return the predicted class plus the weighted factors behind the prediction.