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-0.2.1b20230921.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | aba874b1d7adb93ba2b1f5367a192deba4ea143c7f600ee7959e9754ab0a9ded |
|
MD5 | 436654fc5818e7a9ad286217cea4e570 |
|
BLAKE2b-256 | 867709a1b61089cc7d315b0bc818efcaa9bea330da6b90ed443de9c70b366999 |
Close
Hashes for autogluon.cloud-0.2.1b20230921-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | ddb73a57179e16b3c98869d4dfdf0306c3a2ccb50caeb1776619640d13ba3aa3 |
|
MD5 | b1429b173c2a6fdaeec97700304aee86 |
|
BLAKE2b-256 | 085db263b20d29175b1c67d52c365a05bd61929020f4faf884b8048d1da06c2b |