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Tutorial: Applying QXMT to Your Own Experiments

In this section, we provide tutorials to help you effectively integrate QXMT into your projects.

If this is your first time using QXMT, we recommend starting with the first tutorial, “Simple Case Using Only the Default Dataset and Model,” which focuses on QXMT’s default features. Once you’re comfortable with the basics, you can move on to the subsequent tutorials, which will guide you through applying the tool to your own experiments.

Tutorial List

• Simple Case Using Only the Default Dataset and Model
  • 1. Experiment Setup
  • 2. Run Configuration
  • 3. Executing the Run
  • 4. Visualization of Results
• Practical Case with Custom Functions and the MNIST Dataset
  • 1. Preparing the Dataset
  • 2. Implementing Custom Features
  • 3. Configuring Run Settings
  • 4. Executing Experiments and Evaluation
• Tool Reference
  • Load Datasets with OpenML
  • Chain Processing of Raw Processing Logic and Transform Logic
  • Using Projected Kernel