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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.
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 the rabbitmq
spooler type.google
- Installs dependencies for the pubsub
spooler type.kafka
- Installs dependencies for the kafka
spooler type.azure
- Installs dependencies that enable Azure Active Directory authentication for the kafka
spooler type.aws
- Installs dependencies for the sqs
spooler 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]'
FAQs
datarobot-mlops library to read and report MLOps statistics
We found that datarobot-mlops demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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