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
Project details
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-0.0.3.tar.gz
(13.6 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-0.0.3-py3-none-any.whl
(14.3 kB
view details)
File details
Details for the file guam-0.0.3.tar.gz.
File metadata
- Download URL: guam-0.0.3.tar.gz
- Upload date:
- Size: 13.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.10.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
37c1c024173432724b50d1b7421b00201d17a17243147b8a0800029cc32c248c
|
|
| MD5 |
e8a426a07dc94b256ee24c28f1524311
|
|
| BLAKE2b-256 |
c1751d0778ea4b9f66fc2bd00914bcf40681e385554040b76a290ca2b08e06ae
|
File details
Details for the file guam-0.0.3-py3-none-any.whl.
File metadata
- Download URL: guam-0.0.3-py3-none-any.whl
- Upload date:
- Size: 14.3 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 |
49dfed6ddd3bce64accde1e58af8694c0b204af891fec9511a50d42f6c5e2355
|
|
| MD5 |
77fe4968f15452da193453784e76b810
|
|
| BLAKE2b-256 |
36525680a2875e4cc90fccad48e18f3f67b7e630a0696518eda816f9b46486bf
|