Machine Learning - Train Flashcards
Sweep Clustering:
Performs a parameter sweep on a clustering model to determine the optimum parameter settings, and trains the best model.
Train Anomaly Detection Model:
Trains an anomaly detector model and labels data from a training set.
Train Clustering Model:
Trains a clustering model and assigns data from the training set to clusters.
Train Matchbox Recommender:
Trains a Bayesian recommender by using the Matchbox algorithm.
Train Model:
Trains a classification or regression model from a training set.
Tune Model Hyperparameters:
Performs a parameter sweep on a regression or classification model to determine the optimum parameter settings, and trains the best model.