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mlflow


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Author: None
License: Copyright 2018 Databricks, Inc. All rights reserved. Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. Defini...
Summary: MLflow is an open source platform for the complete machine learning lifecycle
Latest version: 2.14.3
Required dependencies: alembic | cachetools | click | cloudpickle | docker | entrypoints | flask | gitpython | graphene | gunicorn | importlib-metadata | jinja2 | markdown | matplotlib | numpy | opentelemetry-api | opentelemetry-sdk | packaging | pandas | protobuf | pyarrow | pytz | pyyaml | querystring-parser | requests | scikit-learn | scipy | sqlalchemy | sqlparse | waitress
Optional dependencies: aiohttp | aliyunstoreplugin | azure-storage-file-datalake | azureml-core | boto3 | botocore | fastapi | google-cloud-storage | kubernetes | langchain | mlflow-dbstore | mlflow-jfrog-plugin | mlflow-xethub | mlserver | mlserver-mlflow | prometheus-flask-exporter | pyarrow | pydantic | pysftp | requests-auth-aws-sigv4 | slowapi | tiktoken | uvicorn | virtualenv | watchfiles

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