Machine Learning - Train Flashcards

1
Q

Sweep Clustering:

A

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

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2
Q

Train Anomaly Detection Model:

A

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

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3
Q

Train Clustering Model:

A

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

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4
Q

Train Matchbox Recommender:

A

Trains a Bayesian recommender by using the Matchbox algorithm.

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5
Q

Train Model:

A

Trains a classification or regression model from a training set.

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6
Q

Tune Model Hyperparameters:

A

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

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