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-0.2.1b20231118.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 300679a515a14976509129c765660a2b4ce893ee4d2e9517131443bfaee03d7f |
|
MD5 | 0632a83e2fef23878d0be687169610cb |
|
BLAKE2b-256 | d97dbd9c2bb374f50c78e23434cc2dbfbfe7613843623055eef169a37a2f2326 |
Close
Hashes for autogluon.cloud-0.2.1b20231118-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | ea0bf2df1cd9d1651fbef75b4d2b3458b8cff0c263465c9a7363e5768b2bdb7b |
|
MD5 | 5b63dbbbad26040fdaad7eee4f2e49ed |
|
BLAKE2b-256 | bb783e3f5e6a1813c1d901a5e9d00b2f06add657a18cd92a9a4ace221bf1ae8f |