ML Serving
mlserving is a framework for developing a realtime model-inference service.
Allows you to easily set-up an inference-endpoint for your ML Model.
mlserving emphasizes on high performance and allows easy integration with other model servers such as TensorFlow Serving
Docs can found here: https://mlserving.readthedocs.io/en/latest/
Motivation
Data Scientists usually struggle with integrating their ML-models to production.
mlserving is here to make the development of model-servers easy for everyone.
Installation
$ pip install mlserving
1 maintainer
Metadata
1 maintainer
Release files for mlserving 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| mlserving-0.2.0.tar.gz | 8.7 kB | Without provenance | Details for mlserving-0.2.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| mlserving-0.2.0-py3-none-any.whl | Python 3 | none | any | Details for mlserving-0.2.0-py3-none-any.whl |
Total release size: 23.5 kB
Release files / mlserving-0.2.0.tar.gz
| Download URL | mlserving-0.2.0.tar.gz |
|---|---|
| Size | 8.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
56d5a7a19bd076dd964e6f503768df9e4bb27adbafe3457083b54bd9ff474bbb
|
|
BLAKE2b-256 checksum How to use checksums |
465f5dbcd3b5f4551da90faf7cc0c44bb56c561ebd55c36ef4517bc650613ca6
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.5
|
Release files / mlserving-0.2.0-py3-none-any.whl
| Download URL | mlserving-0.2.0-py3-none-any.whl |
|---|---|
| Size | 14.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
985876ade06dec4c06327c8802196775551c252733f47700d57f4709fb70af4c
|
|
BLAKE2b-256 checksum How to use checksums |
45d3125aa3b663c4b49e62c41240a816e3616fb40a45d98a7a049b072ef82dc8
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.5
|
Security for mlserving 0.2.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
