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-0.4.1b20241003.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 81fa069f24ac53b64c405b08d047e159cf08327f294977adee0184f51c55c9a0 |
|
MD5 | 5328b164a9ac3dd630113624b302152d |
|
BLAKE2b-256 | 1a836f48a6ab371a29afd5827049376c62cc1b0f3c551b49d898ed46d5d4dd09 |
Close
Hashes for autogluon.cloud-0.4.1b20241003-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | df7d019fd77c75cf35f6f0f20dbcdf81cf948e149d8b87421e7a53f625306d8b |
|
MD5 | f27b111a15b0d7ef755382cec0222829 |
|
BLAKE2b-256 | 91b9b4d2724b52cf2fac9f5222d719c281bbf5e897dada88695b78063a88f50f |