Pre-release
This release is a pre-release and may not be stable for production use.
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)
1 maintainer
Metadata
1 maintainer
Release files for autogluon.cloud 0.4.0b20240823
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| autogluon.cloud-0.4.0b20240823.tar.gz | 65.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| autogluon.cloud-0.4.0b20240823-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 157.7 kB
Release files / autogluon.cloud-0.4.0b20240823.tar.gz
| Download URL | autogluon.cloud-0.4.0b20240823.tar.gz |
|---|---|
| Size | 65.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
ace2c06923b512a757b68f01007d91f8a426567d393494e182018638db3662a1
|
|
BLAKE2b-256 checksum How to use checksums |
cfe4480e053a829e9f0533771b9bd3631760760a9e15b1ce75633ea6d5d37ac7
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.7.17
|
Release files / autogluon.cloud-0.4.0b20240823-py3-none-any.whl
| Download URL | autogluon.cloud-0.4.0b20240823-py3-none-any.whl |
|---|---|
| Size | 92.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
7308849c3c581910db7993add9e24be7388d21c721ec7053770f5071887be88d
|
|
BLAKE2b-256 checksum How to use checksums |
98d5266c806e004b494bcdf29d1e606805807c4b6c1849edc8e27c3784a34054
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.7.17
|
