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-0.2.1b20230917.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7f5b21eb9d28f6ae1bb302bd3d66fc6beca19cef5d8ce599e4b7452299688cc4 |
|
MD5 | a30f5b6f147d73e9d190d0dbb04c89e7 |
|
BLAKE2b-256 | cf99b3c40281e51c131f2ea155e99becf05a73f182a94cd02888c8f995f1f43b |
Close
Hashes for autogluon.cloud-0.2.1b20230917-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3c5a9899b4562b9151bff1c57d7b83b76a3023369e3d2010a08cdec09955a7b2 |
|
MD5 | a2c54d5ec67dfdbe297243d41217d385 |
|
BLAKE2b-256 | fd2db512ed791ff347659669d9ea15545b3e0f26a87bec68d2506c350729db44 |