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-0.2.1b20230715.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 07bb1d9389d055432e16c7920e3c415dadb3c9e25fe02e71b0eda2a107d50df9 |
|
MD5 | 226e56b8f980dd423ddc1ba87d0318d5 |
|
BLAKE2b-256 | 7c6a5caa6f4ced3a5ba1f900e3200343329771ab6d1683f7db5230d6e23563ed |
Close
Hashes for autogluon.cloud-0.2.1b20230715-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 41486ffc99bc89b735abea58b6a08daa7866189891ffd9424692d51502e21d6a |
|
MD5 | 2d27770bb689d4b8b3067220ec9a11d0 |
|
BLAKE2b-256 | 4378aae1bdbc5f53a111a9d244e9becc93fbdf0824e4a6bdf99853c603fae0ce |