Le projet est organisé comme suit :
├── configure: Project configuration.
├── documentation: User and developer documentation. Contains the colabs.
├── examples: Collection of usage examples.
├── tensorflow_decision_forests: The library
│ ├── component: Utilities.
│ │ ├── builder: Create models "by hand".
│ │ ├── inspector: Inspection of structure and meta-data of models.
│ │ ├── model_plotter: Plotting of model tree structure.
│ │ ├── inspector: Inspection of structure and meta-data of models.
│ │ ├── py_tree: Representation of a decision tree as a python object.
│ │ └── tuner: TF-DF's own hyper-parameter tuner.
│ ├── contrib: Additional functionality outside the project's main scope.
│ ├── keras: Keras logic. Depends on tensorflow logic.
│ │ └── wrapper: Python code generator for Keras models.
│ │── tensorflow: TensorFlow logic.
│ │ └── ops: Custom C++ ops.
│ │ ├── inference: ... for inference.
│ │ └── training: ... for training.
│ └── test_data: Datasets for unit tests and benchmarks.
├── third_party: Bazel configuration for dependencies.
└── tools: Tools for the management of the project and code.