decision-forests/documentation/tutorials/index.md

TensorFlow Decision Forests tutorials

The following notebooks are available:

• Beginner Colab: Learn about the basic about model training, evaluation and exportation.
• Ranking Colab: Learn about ranking with decision forests.
• Intermediate Colab: How to consume text and combine decision forest with neural networks.
• Advanced Colab: How to inspect and create model structures directly.
• Uplifting Colab: Learn about uplift modeling with decision forests.
• Model composition Colab: How to compose decision forests and neural networks together.
• Proximities and Prototypes with Random Forests: Measure the distance between tabular examples and use it to understand a model and its predictions.
• Automatic hyper-parameter tuning: Automatically select the best hyper-parameters for a model.
• Making predictions: List of options to make predictions with a model.