LightGBM runtime for MLServer
This package provides a MLServer runtime compatible with LightGBM.
Usage
You can install the runtime, alongside mlserver, as:
pip install mlserver mlserver-lightgbm
For further information on how to use MLServer with LightGBM, you can check out this worked out example.
Content Types
If no content type is present on the request or metadata, the LightGBM runtime will try to decode the payload as a NumPy Array. To avoid this, either send a different content type explicitly, or define the correct one as part of your model's metadata.
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Release files for mlserver-lightgbm 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_lightgbm-1.7.1.tar.gz | 5.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mlserver_lightgbm-1.7.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 12.2 kB
Release files / mlserver_lightgbm-1.7.1.tar.gz
| Download URL | mlserver_lightgbm-1.7.1.tar.gz |
|---|---|
| Size | 5.5 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
|
Release files / mlserver_lightgbm-1.7.1-py3-none-any.whl
| Download URL | mlserver_lightgbm-1.7.1-py3-none-any.whl |
|---|---|
| Size | 6.6 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 | |
|
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
|
