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-0.2.1b20231127.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | b72b2a94c4bf3f398b2b0d756bfb7970720daa6d284d7ef6aede916457ab5b5f |
|
MD5 | 76a486cbfeacb8c9dee4abbcafac5b77 |
|
BLAKE2b-256 | 7cebd51d3621d2b0ca14f2ab3a078ca4a64b1478246dc87ea38fef7e1b234d52 |
Close
Hashes for autogluon.cloud-0.2.1b20231127-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7e299f68d194e03c83097480a943cc9ad8510538ea20dd5973a876866027e65f |
|
MD5 | e4cf4b23b7dce2c92941dfde8cbcb29d |
|
BLAKE2b-256 | 70f38e5d2dd032b675045a1b529e3e45fecc04e92b16ba1f1ff2afc5b23c4fda |