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Directory Structure
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The project is organised as follows:
├── 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.
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2022-07-08 UTC.
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