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-0.2.1b20231028.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | f09467b8ed19d7ffffebef51f676ee714b0aad283692187879a38eaff5f5512b |
|
MD5 | c998e0c633ee90f4d0e98e1210c74d76 |
|
BLAKE2b-256 | a9cb2c7b5eb6aa6912ca6e455c3310ccdc720fc62b36295002519400a738950e |
Close
Hashes for autogluon.cloud-0.2.1b20231028-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | f3960ada85d119cad8fe85dfed7f6f3c334ca9f7641e7fccb3dc5e82ef78e5fd |
|
MD5 | 67704f368229ebe1617b6083113bac57 |
|
BLAKE2b-256 | 7d537ce79f5e5ef3bbcdb292c3314718002d0cc041187ba7d29c22e0f516803c |