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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:
2.17.0
Required dependencies:
cachetools
|
click
|
cloudpickle
|
databricks-sdk
|
gitpython
|
importlib-metadata
|
opentelemetry-api
|
opentelemetry-sdk
|
packaging
|
protobuf
|
pyyaml
|
requests
|
sqlparse
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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