Get Started

• Installation
  • Ubuntu
  • Other OS
• Quick start
• Basics of running benchmarks
  • Regression
  • Binary classification
  • Multiclass classification
  • Using a configuration file
• Dataset and configuration
  • The dataset
  • The configuration file
  • Use the configuration file to load the dataset
  • A Trainer does all things for you
• Inference on an upcoming dataset
  • Training models
  • Selecting and storing a model
  • Loading the model
  • Inference
  • Inference on the individual testing set
• Using data functionalities
  • Data splitters
  • Data imputers
  • Data processors
  • Data derivers
  • Access the processed dataset
• Bayesian hyperparameter optimization
• Cross-validation
  • K-fold cross-validation
  • Splitting the dataset randomly
  • Unexpected termination
• Plotting