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 0.4.0b20240830
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-0.4.0b20240830.tar.gz | 65.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| autogluon.cloud-0.4.0b20240830-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 157.8 kB
Release files / autogluon.cloud-0.4.0b20240830.tar.gz
| Download URL | autogluon.cloud-0.4.0b20240830.tar.gz |
|---|---|
| Size | 65.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
b7152e33d0e9d0e512d09195e7722899ed63b3cc72f5bcfa8add3b580081ab2a
|
|
BLAKE2b-256 checksum How to use checksums |
3cf068d8701e55c36fe01958946632b0d4bb092ffe0c258c24bcb7014fee7e3f
|
| 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-0.4.0b20240830-py3-none-any.whl
| Download URL | autogluon.cloud-0.4.0b20240830-py3-none-any.whl |
|---|---|
| Size | 92.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
32cc2ed25bdfcdd156d3eb91f3338c196266f586d1692cf514b244cd1ecc36cc
|
|
BLAKE2b-256 checksum How to use checksums |
1c167ce51e64fcef50dd78c89214efee0cd6f4daea7656a562272a3680c2ac5d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.7.17
|
