Model Training

For Classifiers

Module	Description
Train Model	Trains a classification or regression model from a training set. Takes an Untrained Model and the Training Data and Trains a Model.
Tune Hyperparameters	Many Models have Hyperparameters, so it's better to replace the Train Model with a Tune Hyperparameters module. It takes an Untrained Model, the Training Data, and some Validation Data and Trains a Model and Tunes the Hyperparameters.

For Regression

Module	Description
Train Model	Trains a classification or regression model from a training set. Takes an Untrained Model and the Training Data and Trains a Model.
Tune Hyperparameters	Many Models have Hyperparameters, so it's better to replace the Train Model with a Tune Hyperparameters module. It takes an Untrained Model, the Training Data, and some Validation Data and Trains a Model and Tunes the Hyperparameters.

For Anomaly Detection

Module	Description
Train Anomaly Detection Model	Trains an anomaly detector model and labels data from a training set. Takes an Untrained Model and the Training Data and Trains a Model.

For Clustering

Module	Description
Train Clustering Model	Trains a clustering model and assigns data from the training set to clusters. Takes an Untrained Model and the Training Data and Trains a Model.
Sweep Clustering	Performs a parameter sweep on a clustering model to determine the optimum parameter settings and trains the best model. Takes an Untrained Model and the Training Data and Trains a Model.