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 --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)
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-0.1.1b20230325.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7003881912feecf87b8503e005b2ab53f8b081839eb4cdf3b780eae8b7deb602 |
|
MD5 | 28607464fac0e1dd04fe9bfa33587b22 |
|
BLAKE2b-256 | b77d7c685916a6cdc12b4f23e28ab6bd9cb95565f10d63cb3d79218511449c2b |
Close
Hashes for autogluon.cloud-0.1.1b20230325-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7daf108439b2ffad580f6b59a3c352b69f319e0fd38621a914697518db4e2f54 |
|
MD5 | aaecf661f63dacbb93133cbe51cfb53e |
|
BLAKE2b-256 | cd39ab446ae537be1be3c6aa96ce61b17e6afd1ad4ba922ce62a93799f0d8e50 |