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.
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-0.3.1b20231222.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 33cb87232b23bcbd7d8c8f2f8083d72367b87cdce1b7f9647c9924797d9763b1 |
|
MD5 | cbb6d51ec59f276f5c663fe83d1a15f5 |
|
BLAKE2b-256 | 95203b36c4398bf0375728c267692a14442ba3c643f1c52a71a8d6306a65d50e |
Close
Hashes for autogluon.cloud-0.3.1b20231222-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | c2b6546ce8be0ce6f42bdc286ba252c2c0743050865ad4040d2b02d5f33264b9 |
|
MD5 | 6e07421b58ee1b56cdf990587d862860 |
|
BLAKE2b-256 | 638d9182b11da0596190b7517983b2536558b8bce66684a1658fd2c6611e85ea |