Train and deploy AutoGluon backed models on the cloud
Project description
AutoGluon-Cloud
AutoGluon-Cloud Documentation | AutoGluon Documentation
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-0.4.0b20240616.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | ec9b5037a4d976123a97c21c4a8505a81d1d47439bb8646d38e1164eebae8149 |
|
MD5 | 023c31cdd361627c1ee552722c337a1b |
|
BLAKE2b-256 | 0202e2c172a617ad2cf057211897d8f99f8dd16f13cd7e155d663bd884e8e635 |
Close
Hashes for autogluon.cloud-0.4.0b20240616-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | ecc9bfc85f0e891cc2e0bee08b546af04c43588f8bd69bfae086ade14787fd90 |
|
MD5 | 95dba3258be8e267075db4de8679162f |
|
BLAKE2b-256 | 7ad035770bd929a845e002032409d35da2452a73b0705915d9e370b4f69f62c3 |