This release is a pre-release and may not be stable for production use.
AutoGluon-Cloud
AutoGluon-Cloud aims to provide user tools to train, fine-tune and deploy AutoGluon backed models on the cloud. With just a few lines of codes, users could train a model and perform inference on the cloud without worrying about MLOps details such as resource management.
Currently, AutoGluon-Cloud supports AWS SageMaker as the cloud backend.
Example
# First install package from terminal:
# pip install -U pip
# pip install -U setuptools wheel
# pip install --pre autogluon.cloud # You don't need to install autogluon itself locally
from autogluon.cloud import TabularCloudPredictor
import pandas as pd
train_data = pd.read_csv("https://autogluon.s3.amazonaws.com/datasets/Inc/train.csv")
test_data = pd.read_csv("https://autogluon.s3.amazonaws.com/datasets/Inc/test.csv")
predictor_init_args = {"label": "class"} # init args you would pass to AG TabularPredictor
predictor_fit_args = {"train_data": train_data, "time_limit": 120} # fit args you would pass to AG TabularPredictor
cloud_predictor = TabularCloudPredictor(cloud_output_path='YOUR_S3_BUCKET_PATH')
cloud_predictor.fit(predictor_init_args=predictor_init_args, predictor_fit_args=predictor_fit_args)
cloud_predictor.deploy()
result = cloud_predictor.predict_real_time(test_data)
cloud_predictor.cleanup_deployment()
# Batch inference
result = cloud_predictor.predict(test_data)
1 maintainer
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
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
File details
Details for the file autogluon.cloud-0.1.1b20230218.tar.gz.
File metadata
- Download URL: autogluon.cloud-0.1.1b20230218.tar.gz
- Upload date:
- Size: 36.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/4.0.2 CPython/3.7.15
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
469ab40be77d3fad4cb2053cb4a91f78105675f35d673406a31cf3613c982efd
|
|
| MD5 |
5e054af6e0b84efc8e586f715b8a2993
|
|
| BLAKE2b-256 |
18c3a37c2913ca1c4d211e240981ec4a472ed8a33811f83587ad8af228747ba6
|
File details
Details for the file autogluon.cloud-0.1.1b20230218-py3-none-any.whl.
File metadata
- Download URL: autogluon.cloud-0.1.1b20230218-py3-none-any.whl
- Upload date:
- Size: 45.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/4.0.2 CPython/3.7.15
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
64b5a6a05eeefc1885a69b88dd5dddace32570abb435c128cb5faf31b3d220ee
|
|
| MD5 |
e8ebfbf2360cabccbce2291c675013e2
|
|
| BLAKE2b-256 |
e6327dc5c0e2bab1c99bb030333e1491be27ce4c50610d41319f40bfdded88b6
|
