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 --pre autogluon.cloud # 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-0.1.1b20230212.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | b0197aa572bf7ca75d87e5ec7e39a41587bef96f9d33f56d1652cda3b8ebe2b7 |
|
MD5 | 9b8146a6e3e44b459d7855f43e45f1e7 |
|
BLAKE2b-256 | 049d14b4db58becd3e407083f7945120cebfdfaf93e84d2ebd56a69b1282c326 |
Close
Hashes for autogluon.cloud-0.1.1b20230212-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 206c5b63dffcd1402581c2c417c4f796d64e8b01e0d037f29250b363efbaea0b |
|
MD5 | 63d112ad787fbcd9b01b198f27b712bf |
|
BLAKE2b-256 | 5c9b64bdc3d809460bf99d130618aa0d0d709a495d4f76fdf244d4bd553b3fdb |