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-0.2.1b20230615.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | cb18cfa5aeacdef2aa3b734c7b4fcec60ccbe3c5444136705f0345bec60469a4 |
|
MD5 | ba7bd9575db37f54ff9cd1fb000a8c52 |
|
BLAKE2b-256 | 08e24d844b0ceb187814b5c3ca3ac914d0336f928d91dc900117f9d51ed7d055 |
Close
Hashes for autogluon.cloud-0.2.1b20230615-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | fbffcc7deb2ecb6e31de1a3890fe39332ac049bda83458d655230faec11d1d3d |
|
MD5 | d3295a4258776e4d6c5793fd66c7bb84 |
|
BLAKE2b-256 | 51e3ced139777fc76a195ec635a24846d10fcf7dc23d1df1740ba19818476a10 |