Skip to main content

Alibi-Detect runtime for MLServer

Project description

Alibi-Detect runtime for MLServer

This package provides a MLServer runtime compatible with alibi-detect models.


You can install the mlserver-alibi-detect runtime, alongside mlserver, as:

pip install mlserver mlserver-alibi-detect

For further information on how to use MLServer with Alibi-Detect, you can check out this worked out example.

Content Types

If no content type is present on the request or metadata, the Alibi-Detect 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.


The Alibi Detect runtime exposes a couple setting flags which can be used to customise how the runtime behaves. These settings can be added under the parameters.extra section of your model-settings.json file, e.g.

emphasize-lines: 6-8
  "name": "drift-detector",
  "implementation": "mlserver_alibi_detect.AlibiDetectRuntime",
  "parameters": {
    "uri": "./alibi-detect-artifact/",
    "extra": {
      "batch_size": 5


You can find the full reference of the accepted extra settings for the Alibi Detect runtime below:

.. autopydantic_settings:: mlserver_alibi_detect.runtime.AlibiDetectSettings

Project details

Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mlserver_alibi_detect-1.6.0.tar.gz (8.2 kB view hashes)

Uploaded Source

Built Distribution

mlserver_alibi_detect-1.6.0-py3-none-any.whl (9.3 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page