Autotune Action Set: Syntax
Provides actions to tune machine learning algorithm hyperparameters
Table of Actions
| Action Name | Description |
|---|---|
| tuneBnet | Automatically adjusts Bayesian network classifier parameters to tune a model for minimum error |
| tuneDecisionTree | Automatically adjusts decision tree parameters to tune a model for minimum error |
| tuneFactMac | Automatically adjusts factorization machine parameters to tune a model for minimum error |
| tuneForest | Automatically adjusts forest parameters to tune a model for minimum error |
| tuneGradientBoostTree | Automatically adjusts gradient boosting tree parameters to tune a model for minimum error |
| tuneNeuralNet | Automatically adjusts neural network parameters to tune a model for minimum error |
| tuneSvm | Automatically adjusts support vector machine parameters to tune a model for minimum error |
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Last updated: June 07, 2018