6 lines
456 B
Markdown
6 lines
456 B
Markdown
# 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.
|