Metadata-Version: 2.4
Name: GUAM
Version: 0.0.1
Summary: GUAM : GPU-based Auto ML for Robust Large Scale Computation.
Project-URL: Homepage, https://github.com/Ign0reLee/GUAM
Project-URL: Bug Tracker, https://github.com/Ign0reLee/GUAM/issues
Author-email: Jeyoung Lee <dlwpdud@gmail.com>, Jia Son <dlwpdud@gmail.com>, Sung Heo <dlwpdud@gmail.com>
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.10
Requires-Dist: cudf-cu11==23.08.*
Requires-Dist: cugraph-cu11==23.08.*
Requires-Dist: cuml-cu11==23.08.*
Requires-Dist: cupy==13.6.*
Requires-Dist: cuxfilter==23.08.*
Requires-Dist: dask-cuda==23.08.*
Requires-Dist: dask-cudf==23.08.*
Requires-Dist: numpy
Requires-Dist: nvtabular==23.8.*
Requires-Dist: pandas
Description-Content-Type: text/markdown

# 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)

```cmd
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.

```cmd
conda activate rapids-nvt
```

The latest stable version can always be installed or updated via pip:
```cmd
pip install --upgrade guam
```

## Documentation

## Examples
[LINK]('./examples')