Autotune Action Set
| Action Name | Description |
|---|---|
| modelComposer | Automatically tunes hyperparameters for multiple models types concurrently, with optimal allocations. |
| tuneAll | Automatically tunes hyperparameters for multiple models types concurrently. |
| 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 |
| tuneGlm | Automatically adjusts linear regression parameters to tune a model for minimum error |
| tuneGradientBoostTree | Automatically adjusts gradient boosting tree parameters to tune a model for minimum error |
| tuneGraphMultiReg | Automatically adjusts Generalized Linear Multitask Learning technique parameters to tune for best objective metric value |
| tuneLabelSpread | Automatically adjusts Label Spreading technique parameters to tune for best objective metric value |
| tuneLogistic | Automatically adjusts logistic regression 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 |
| tuneTsne | Automatically adjusts t-Distributed Stochastic Neighbor Embedding algorithm parameters to tune for minimum loss |
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Last updated: November 04, 2020