Quick Start

This section will introduce the main features of HyperGBM with assumption that users already have knowledge of machine learning such as loading data and training a model. If you have not completed HyperGBM installation, please refer to Installation Guide.

Below are two examples of using GBM with python and command line tool.

• Use HyperGBM with Python
  • Prepare the dataset
  • Create experiment with make_experiment
  • Save the model
  • Evaluate the model
  • More info:
• Use HyperGBM with command line tools
  • Prepare the Data
  • Train the Model
  • Evaluate the Model
  • Predict the Test Data
• HyperGBM：Job management with Hyperctl
  • Example: Use Hyperctl to train a HyperGBM classification model
• HyperGBM: Experiment Visualization in Notebook
  • Example