Train and deploy AutoGluon backed models on the cloud
Project description
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 autogluon.cloud==0.2.0 # 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)
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
Built Distribution
Close
Hashes for autogluon.cloud-0.2.1b20230606.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8cb9ae9ac93dcc138fec2585a7b364a47fc24d4c4474f1f3ddfaecc2cbdfb95f |
|
MD5 | 0a44bb2451f289421dfea920938d0543 |
|
BLAKE2b-256 | 71e4705ef988f85fa65933ee5d36f2c4eb2a903275d20693843699eeddfcfa25 |
Close
Hashes for autogluon.cloud-0.2.1b20230606-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | eaa6c12f8ff65450aa84465dcb883f5d24891d8b4165143cb2d2f982781df871 |
|
MD5 | da105b1a4d6ceb8d963a85c351368355 |
|
BLAKE2b-256 | 471c1473595f41747aa6a800b3c825f2ade03f276e4c7a284cd0f031a015c996 |