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Update Python demos with tests. (#5651)

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* Remove GPU memory usage demo.
* Add tests for demos.
* Remove `silent`.
* Remove shebang as it's not portable.
This commit is contained in:
Jiaming Yuan
2020-05-12 12:04:42 +08:00
committed by GitHub
parent 4e64e2ef8e
commit 2c1a439869
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demo/gpu_acceleration/README.md
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# GPU Acceleration Demo
`cover_type.py` shows how to train a model on the [forest cover type](https://archive.ics.uci.edu/ml/datasets/covertype) dataset using GPU acceleration. The forest cover type dataset has 581,012 rows and 54 features, making it time consuming to process. We compare the run-time and accuracy of the GPU and CPU histogram algorithms.
`memory.py` shows how to repeatedly train xgboost models while freeing memory between iterations.
`cover_type.py` shows how to train a model on the [forest cover type](https://archive.ics.uci.edu/ml/datasets/covertype) dataset using GPU acceleration. The forest cover type dataset has 581,012 rows and 54 features, making it time consuming to process. We compare the run-time and accuracy of the GPU and CPU histogram algorithms.