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-0.2.1b20230530.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | cf3283745fbdfcca1d29541fb2045872df5d9a72535bc15d231efd3d6bf0e0a6 |
|
MD5 | 349ed2c1e51300578354a55d154107f0 |
|
BLAKE2b-256 | a789bdaf7d830ca8d5e4ea23154b4f06ef7f251e568885ea3fde69c420fdf409 |
Close
Hashes for autogluon.cloud-0.2.1b20230530-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | b23780cd5a8fc353002a584634acd7bd70bf5a0b2bbb5308feff99ebc9e8637e |
|
MD5 | d0db877d7b15e88596fa0cad4da6f80a |
|
BLAKE2b-256 | 91f51969d622c5932a53b61f4816be60a1a8365098cfc69e82508ab815990226 |