DataRobot MLOps metrics reporting library
This is the Python version of the DataRobot MLOps reporting SDK. This library enables remote reporting of MLOps metrics back to DataRobot for monitoring.
More information on DataRobot MLOps reporting library can be found here: https://docs.datarobot.com/en/docs/mlops/deployment/mlops-agent/index.html.
Installation
Install the MLOps reporting SDK with minimal dependencies.
This means that only the filesystem spooler type will be available.
pip install datarobot-mlops
By installing additional dependencies, you can leverage these additional spooler types:
rabbitmq- Installs dependencies for therabbitmqspooler type.google- Installs dependencies for thepubsubspooler type.kafka- Installs dependencies for thekafkaspooler type.azure- Installs dependencies that enable Azure Active Directory authentication for thekafkaspooler type.aws- Installs dependencies for thesqsspooler type.
You can install these extra dependencies using pip, for example:
pip install 'datarobot-mlops[rabbitmq]'
You can also install multiple sets of dependencies at once, for example:
pip install 'datarobot-mlops[kafka,azure]'
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Release files for datarobot-mlops 10.0.12
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Release files / datarobot_mlops-10.0.12-py3-none-any.whl
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| Size | 111.2 kB |
| Tags | Python 3 |
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