GUAM : GPU-based Auto ML for Robust Large Scale Computation.
Project description
GUAM : GPU-based Auto ML for Robust Large Scale Computation.
Install
Before start, Enviroments must be installed RAPIDS-23.08 and NVTrabular-23.08(Lastest Version)
conda create -n rapids-nvt -c rapidsai -c conda-forge -c nvidia rapids=23.08 nvtabular=23.08 python=3.10 lightgbm xgboost catboost triton tritonclient grpcio tensorflow tensorflow-gpu cudatoolkit=11.8 -y
And, Activate Conda enviroments.
conda activate rapids-nvt
The latest stable version can always be installed or updated via pip:
pip install --upgrade guam
Documentation
Examples
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
guam-0.0.1.tar.gz
(3.8 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
guam-0.0.1-py3-none-any.whl
(5.5 kB
view details)
File details
Details for the file guam-0.0.1.tar.gz.
File metadata
- Download URL: guam-0.0.1.tar.gz
- Upload date:
- Size: 3.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.10.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d9ce97b03f4ea1a431efdc31045627aa590fa99fa8aa3674ef07401b6fc3b7cf
|
|
| MD5 |
eecdd9aee6562a2e3c17642159e0e4ba
|
|
| BLAKE2b-256 |
a15d37d1e29fd86cf7bcd4659e1c54beaf8d788a9f256c6d12c92bcdb3dfc118
|
File details
Details for the file guam-0.0.1-py3-none-any.whl.
File metadata
- Download URL: guam-0.0.1-py3-none-any.whl
- Upload date:
- Size: 5.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.10.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
76df719498d7acf0d9b3e2c34e6761219df07f2dc8114cf9c0efce02bbc5f5c1
|
|
| MD5 |
c8702e7af3706344f6ec4358180e5739
|
|
| BLAKE2b-256 |
b99c66758ba3e484c3f34abf64dddf35643338d248e161fe320f705e1bd9b754
|
