WOODS
latest
Getting started:
Quick Installation
Installing requirements
With Conda
With venv
Clone locally
Run tests
Downloading the data
Direct Preprocessed Download
Source Download and Preprocess
Datasets Info
Running a Sweep
Running the sweep
Compiling the results
Advanced usage
Adding an Algorithm
Defining the Algorithm
Adding necessary pieces
Run some tests
Try the algorithm
Run a sweep
Adding a Dataset
Defining the Algorithm
Adding necessary pieces
Run some tests
Try the algorithm
Run a sweep
Contributing
API documentation
WOODS
woods.command_launchers module
Summary
Reference
woods.datasets module
woods.hyperparams module
woods.model_selection module
woods.models module
woods.objectives module
woods.train module
woods.utils module
woods.scripts
woods.scripts.compile_results module
woods.scripts.download module
woods.scripts.fetch_and_preprocess module
woods.scripts.hparams_sweep module
woods.scripts.main module
woods.scripts.visualize_results module
WOODS
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woods.scripts.download_datasets module
Edit on GitHub
woods.scripts.download_datasets module
Directly download the preprocessed data
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