Parameters (using paradox) | Reference Based Objects | Defining a Parameter Space | Domain Representing Single Parameters | Type / Range Checking | Parameter Sets | Values in a ParamSet | Dependencies | Vector Parameters | Parameter Sampling | Parameter Designs | Grid Design | Random Sampling | Generalized Sampling: The Sampler Class | 1D-Samplers | Hierarchical Sampler | Joint Sampler | SamplerUnif | Parameter Transformation | Transformation between Types | Defining a Tuning Spaces | Creating ParamSets | Transformations (trafo) | Automatic Factor Level Transformation | Parameter Dependencies (depends) | Creating Tuning ParamSets from other ParamSets

General Case Example: PipeOpCopy | First Steps: Inheriting from PipeOp | Channel Definitions | Train and Predict | Putting it Together | Special Case: Preprocessing | Example: PipeOpDropNA | Example: PipeOpScaleAlways | Special Case: Preprocessing with Simple Train | Example: PipeOpDropConst | Example: PipeOpScaleAlwaysSimple | Hyperparameters | Hyperparameter Example: PipeOpScale