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-0.2.1b20230807.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 99b702f9121ea5f18386a162aec86f052580fdb8c88daf245303dd32b74ca0ca |
|
MD5 | 11ba644382250a13720aa57043968042 |
|
BLAKE2b-256 | 8a427a806675c7c8cc78dbabbb0f3330b39b55c28bad7cca9311f0d312046344 |
Close
Hashes for autogluon.cloud-0.2.1b20230807-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | fc40a69b0534c5ee318399de9a942cb0ea8811dec6b7106e2538fbfdf0fea63d |
|
MD5 | 56aa7dea0be731c1d99a2f488cb848b3 |
|
BLAKE2b-256 | 5dc7053cb8cabbbce987574af190f17971ee0dd79c995d6713068e119ab2ee8d |