gallery-all-optimization – mlr-org (original) (raw)
Optimize Models
- Recursive Feature Elimination on the Sonar Data Set
Utilize the built-in feature importance of models.
2023-02-07 - Marc Becker - Shadow Variable Search on the Pima Indian Diabetes Data Set
Run a feature selection with permutated features.
2023-02-01 - Marc Becker, Sebastian Fischer - Default Hyperparameter Configuration
Run the default hyperparameter configuration of learners as a baseline.
2023-01-31 - Marc Becker - Hyperband Series - Data Set Subsampling
Optimize the hyperparameters of a Support Vector Machine with Hyperband.
2023-01-16 - Marc Becker, Sebastian Fischer - Hotstarting
Resume the training of learners.
2023-01-16 - Marc Becker, Sebastian Fischer - Hyperband Series - Iterative Training
Optimize the hyperparameters of an XGBoost model with Hyperband.
2023-01-15 - Marc Becker, Sebastian Fischer - Practical Tuning Series - Tuning and Parallel Processing
Run various jobs in mlr3 in parallel.
2021-03-12 - Marc Becker, Theresa Ullmann, Michel Lang, Bernd Bischl, Jakob Richter, Martin Binder - Practical Tuning Series - Build an Automated Machine Learning System
Implement a simple automated machine learning system.
2021-03-11 - Marc Becker, Theresa Ullmann, Michel Lang, Bernd Bischl, Jakob Richter, Martin Binder - Practical Tuning Series - Tune a Preprocessing Pipeline
Build a simple preprocessing pipeline and tune it.
2021-03-10 - Marc Becker, Theresa Ullmann, Michel Lang, Bernd Bischl, Jakob Richter, Martin Binder - Practical Tuning Series - Tune a Support Vector Machine
Optimize the hyperparameters of a support vector machine.
2021-03-09 - Marc Becker, Theresa Ullmann, Michel Lang, Bernd Bischl, Jakob Richter, Martin Binder - Integer Hyperparameters in Tuners for Real-valued Search Spaces
Optimize integer hyperparameters with tuners that can only propose real numbers.
2021-01-19 - Marc Becker - Threshold Tuning for Classification Tasks
Adjust the probability thresholds of classes.
2020-10-14 - Florian Pfisterer
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