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-0.2.1b20230922.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | d8b9d6a3561e7ad8e016a13be5fd44c9b08673a33befaf99577c0a3c4d4860c0 |
|
MD5 | b34c5ca33ec2b92c104750d7f4e18865 |
|
BLAKE2b-256 | 36f116d8b9458e6ca151e8d2880d41700b2784d026b7059c1ac9da0a2edcf61d |
Close
Hashes for autogluon.cloud-0.2.1b20230922-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | c86df59765c9b4060c81052e3c4340d73af79f5addf38248db1907ebddccdd0e |
|
MD5 | 116864f51ef045f761813bbf8e090edb |
|
BLAKE2b-256 | 8e8d0745a758c1cc26262b44864b5b61440368fc82336a5f2bbd25c6479f832f |