Spark MLlib runtime for MLServer
This package provides a MLServer runtime compatible with Spark MLlib.
Usage
You can install the runtime, alongside mlserver, as:
pip install mlserver mlserver-mllib
For further information on how to use MLServer with Spark MLlib, you can check out the MLServer repository.
1 maintainer
Release files for mlserver-mllib 1.7.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mlserver_mllib-1.7.1.tar.gz | 6.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mlserver_mllib-1.7.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 13.5 kB
Release files / mlserver_mllib-1.7.1.tar.gz
| Download URL | mlserver_mllib-1.7.1.tar.gz |
|---|---|
| Size | 6.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/2.1.3 CPython/3.10.17 Linux/6.11.0-1015-azure
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Release files / mlserver_mllib-1.7.1-py3-none-any.whl
| Download URL | mlserver_mllib-1.7.1-py3-none-any.whl |
|---|---|
| Size | 7.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/2.1.3 CPython/3.10.17 Linux/6.11.0-1015-azure
|
