BSD Portsai/py-sagemaker 3.15.0 MidnightBSD
SageMaker: Library for training, deploying models on Amazon SageMaker
- System
- MidnightBSD
- Repository
- mports
- Maintainer
- [email protected]
- Port added
- Last update
- Commit
b807d69740- License
- Apache-2.0
- Categories
- ai, python
Description
SageMaker Python SDK is an open source library for training and deploying machine learning models on Amazon SageMaker.
With the SDK, you can train and deploy models using popular deep learning frameworks Apache MXNet and TensorFlow. You can also train and deploy models with Amazon algorithms, which are scalable implementations of core machine learning algorithms that are optimized for SageMaker and GPU training.
If you have your own algorithms built into SageMaker compatible Docker containers, you can train and host models using these as well.
Install
Binary package:
mport install ${PYTHON_PKGNAMEPREFIX}sagemakerFrom mports:
cd /usr/mports/ai/py-sagemaker && make install cleanTo depend on this port in another port's Makefile:
RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}sagemaker>0:ai/py-sagemakerDependencies
As this port's Makefile names them.
Build 1
${PYTHON_PKGNAMEPREFIX}wheel>0: devel/py-wheel
Runtime 4
${PYTHON_PKGNAMEPREFIX}sagemaker-core>=2.14.0: ai/py-sagemaker-core${PYTHON_PKGNAMEPREFIX}sagemaker-mlops>=1.14.0: ai/py-sagemaker-mlops${PYTHON_PKGNAMEPREFIX}sagemaker-serve>=1.14.0: ai/py-sagemaker-serve${PYTHON_PKGNAMEPREFIX}sagemaker-train>=1.14.0: ai/py-sagemaker-train
Build dependencies 1
Run dependencies 4
Required by 1
Configuration
No options to configure.
- USES
- python
- Service scripts
- none
Files
distinfo 1
| File | Size | SHA256 |
|---|---|---|
| sagemaker-3.15.0.tar.gz | 12143 | dc86342be7b9d8e53ea316bb2f410a0186738e4b5a74b41379292955a7ed32ce |
Master sites 1
- PYPI
Commit history 1
| Date | Commit | Credits | Log message |
|---|---|---|---|
b807d69740 |
Lucas Holt | Add LangChain AI ports and dependencies AI-Assisted-by: OpenAI Codex <[email protected]>
Signed-off-by: Lucas Holt <[email protected]> |