Man pages for jakob-r/mlrHyperopt
Easy Hyperparameteroptimization with mlr and mlrMBO
| downloadParConfig | Downloads a single ParConfig. |
| downloadParConfigs | Downloads multiple Parameter Configurations from the... |
| generateHyperControl | Generates a hyperparameter tuning control object |
| generateLearner | Generates a Learner for a given task and ParConfig. |
| generateParConfig | Generates a suitable Parameter Configuration Set for a given... |
| getDefaultParConfig | Gives a default ParConfig for a Learner |
| getHyperControlMeasures | Get the Measures |
| getHyperControlMlrControl | Get the mlr Tuning Object |
| getHyperControlResampling | Get the Resample Description |
| getLearnerClass | Get the class of an mlr Learner |
| getLearnerName | Get the name of an mlr Learner |
| getParConfigLearnerClass | Get the class of the associated learner |
| getParConfigLearnerName | Get the name of the associated learner |
| getParConfigLearnerType | Get the type of the associated learner |
| getParConfigNote | Get the note |
| getParConfigParSet | Get the ParamSet of the configuration |
| getParConfigParVals | Get the constant parameter settings of the configuration |
| getTaskDictionary | Create a dictionary based on the task. |
| hyperopt | Tune Hyperparameters for a machine learning task |
| makeHyperControl | Hyperparameter Tuning Control Object |
| makeHyperoptWrapper | Fuse learner with mlrHyperopt tuning. |
| makeParConfig | Make a Parameter Configuration |
| setHyperControlMeasures | Set the measures |
| setHyperControlMlrControl | Set the mlr TuneControl Object |
| setHyperControlResampling | Set the mlr resampling Object |
| setParConfigLearner | Set an associated Learner |
| setParConfigLearnerType | Set the type of the associated learner |
| setParConfigNote | Set a note |
| setParConfigParSet | Set a new Parameter Set |
| setParConfigParVals | Set Parameter Values |
| uploadParConfig | Uploads a Parameter Set to the mlrHyperopt servers |
