Machine Learning - Train

Question 1

Sweep Clustering:

Answer 1

Performs a parameter sweep on a clustering model to determine the optimum parameter settings, and trains the best model.

Question 2

Train Anomaly Detection Model:

Answer 2

Trains an anomaly detector model and labels data from a training set.

Question 3

Train Clustering Model:

Answer 3

Trains a clustering model and assigns data from the training set to clusters.

Question 4

Train Matchbox Recommender:

Answer 4

Trains a Bayesian recommender by using the Matchbox algorithm.

Question 5

Train Model:

Answer 5

Trains a classification or regression model from a training set.

Question 6

Tune Model Hyperparameters:

Answer 6

Performs a parameter sweep on a regression or classification model to determine the optimum parameter settings, and trains the best model.