Models# MyoGestic supports following models out of the box: CatBoost, Sklearn, and RaulNet. All models have the following methods predefined: train, save, load, and predict. Note If you wish to add a new model type, you must provide these methods. CatBoost# train(model, dataset, is_classifier, logger) Train a CatBoost model. save(model_path, model) Save a CatBoost model. load(model_path, model) Load a CatBoost model. predict(model, input, is_classifier) Predict with a CatBoost model. Sklearn# train(model, dataset, is_classifier, _) Train a sklearn model. save(model_path, model) Save a sklearn model. load(model_path, _) Load a sklearn model. predict(model, input, is_classifier) Predict with a sklearn model. RaulNet# train(model, dataset, _, __) Train a RaulNet model. save(_, __) Save a RaulNet model. load(model_path, model) load a RaulNet model. predict(model, input, is_classifier) Predict with a RaulNet model.
