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-0.4.0b20240613.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | c79dbe2cfafc5471100bd20d0286ab0a9d5ac444ebfb04d892757f1905926ded |
|
MD5 | 7f7f8c1c85dce1e813b41632580be552 |
|
BLAKE2b-256 | be54e323b61263089c3db37206c441099f268c817260ce891b389db9696ad63f |
Close
Hashes for autogluon.cloud-0.4.0b20240613-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 47e912567c2d40bdef4c4ee72d36d6e7ffbfbd887d8f0969e333032f06c4cd5d |
|
MD5 | 5f94b301e1e56e65c8b9e6dde3c6811a |
|
BLAKE2b-256 | 73239c209e6e964fb2f8193fff60d85414a801001d8e86194d3dc0fc9489c7df |