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Author:
None
License:
Copyright 2018 Databricks, Inc. All rights reserved.
Apache License
Version 2.0, January 2004
http://www.ap...
Summary:
MLflow is an open source platform for the complete machine learning lifecycle
Latest version:
3.6.1.post2
Required dependencies:
alembic
|
cachetools
|
click
|
cloudpickle
|
cryptography
|
databricks-sdk
|
docker
|
fastapi
|
flask
|
flask-cors
|
gitpython
|
graphene
|
gunicorn
|
huey
|
importlib_metadata
|
matplotlib
|
numpy
|
opentelemetry-api
|
opentelemetry-proto
|
opentelemetry-sdk
|
packaging
|
pandas
|
protobuf
|
pyarrow
|
pydantic
|
python-dotenv
|
pyyaml
|
requests
|
scikit-learn
|
scipy
|
sqlalchemy
|
sqlparse
|
typing-extensions
|
uvicorn
|
waitress
Optional dependencies:
aiohttp
|
aliyunstoreplugin
|
azure-storage-file-datalake
|
azureml-core
|
boto3
|
botocore
|
click
|
databricks-agents
|
fastapi
|
fastmcp
|
flask-wtf
|
google-cloud-storage
|
kubernetes
|
langchain
|
mlflow-dbstore
|
mlflow-jfrog-plugin
|
mlserver
|
mlserver-mlflow
|
prometheus-flask-exporter
|
pyarrow
|
pysftp
|
requests-auth-aws-sigv4
|
slowapi
|
tiktoken
|
uvicorn
|
virtualenv
|
watchfiles
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