Train and deploy AutoGluon backed models on the cloud
Project description
AutoGluon-Cloud
AutoGluon-Cloud Documentation | AutoGluon Documentation
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.
Installation
pip install -U pip
pip install -U setuptools wheel
pip install autogluon.cloud
Example
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")
test_data.drop(columns=['class'], inplace=True)
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-0.4.0b20240723.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | ba2a447147dbf786ee9b51bcf6acbffd3b3c9303b9c75de37b0211e2b2d8f8fb |
|
MD5 | ca2bf70d4355e82672d4026e2b1607bd |
|
BLAKE2b-256 | dce1b648c4fe5efcfea792b60d7acbf8fef33524857c870de6c238c439a54a91 |
Close
Hashes for autogluon.cloud-0.4.0b20240723-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4ce916073150ba1b42ea1228c0cc7f4f668bb9477c073829b01e370afc6bf6a1 |
|
MD5 | cf1c7cd384e6914d18af454d86aa4cb0 |
|
BLAKE2b-256 | f4dfe21887df61194f8bd9254ce72d86f788d8a456c3785ad19743d936e0650f |