Tensorflow-decision-forests

Latest version: v1.12.0

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0.1.4

Features

- Stop the training when interrupting a colab cell / typing ctrl-c.
- `model.fit` support training callbacks and a validation dataset.

Bug fix

- Fix failure when there are not input features.

0.1.3

Features

- Register new inference engines.

0.1.2

Features

- Inference engines: QuickScorer Extended and Pred

0.1.1

Features

- Migration to TensorFlow 2.5.0.
- By default, use a pre-compiled version of the OP wrappers.

Bug fix

- Add missing `plotter.js` from Pip package.
- Use GitHub version of Yggdrasil Decision Forests by default.

0.1.0

Initial Release of TensorFlow Decision Forests.

Features

- Random Forest learner.
- Gradient Boosted Tree learner.
- CART learner.
- Model inspector: Inspect the internal model structure.
- Model plotter: Plot decision trees.
- Model builder: Create model "by hand".

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