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
1 maintainer
Metadata
1 maintainer
Release files for GUAM 0.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| guam-0.0.3.tar.gz | 13.6 kB | Without provenance | Details for guam-0.0.3.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| guam-0.0.3-py3-none-any.whl | Python 3 | none | any | Details for guam-0.0.3-py3-none-any.whl |
Total release size: 27.9 kB
Release files / guam-0.0.3.tar.gz
| Download URL | guam-0.0.3.tar.gz |
|---|---|
| Size | 13.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.2.0 CPython/3.10.14
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Release files / guam-0.0.3-py3-none-any.whl
| Download URL | guam-0.0.3-py3-none-any.whl |
|---|---|
| Size | 14.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.10.14
|
Security for GUAM 0.0.3
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