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-0.4.1b20240924.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7eef099f7c7a3418a9ea02917cec165c9dcbf9b32a4431f6bc568cfd18b9039e |
|
MD5 | 2336239f796276c81166786261e2a5bd |
|
BLAKE2b-256 | 00cbbf2f3105069071b72aa5fa7532f8b03b936d57103601ab9f0982496623e8 |
Close
Hashes for autogluon.cloud-0.4.1b20240924-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 185a5c21d66274cc4170bbbdf3301f7b3bc5f40f0c769339181281bbd40e7921 |
|
MD5 | c7a9cded94cd79869a8dece6535e8123 |
|
BLAKE2b-256 | 541aedb70eadec72b48e8fe8ef98c81ddf936433c52e9e6d7f5a5f791bbac8ac |