mlflow--mlflow
wehub-resource-sync
141 行
3.7 KiB
TOML
141 行
3.7 KiB
TOML
# Auto-generated by dev/pyproject.py. Do not edit manually.
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# This file defines the package metadata of `mlflow-skinny`.
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[build-system]
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requires = ["setuptools<=82.0.1"]
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build-backend = "setuptools.build_meta"
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[project]
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name = "mlflow-skinny"
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version = "3.14.1.dev0"
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description = "MLflow is an open source platform for the complete machine learning lifecycle"
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readme = "README_SKINNY.md"
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keywords = ["mlflow", "ai", "databricks"]
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classifiers = [
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"Development Status :: 5 - Production/Stable",
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"Intended Audience :: Developers",
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"Intended Audience :: End Users/Desktop",
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"Intended Audience :: Science/Research",
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"Intended Audience :: Information Technology",
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"Topic :: Scientific/Engineering :: Artificial Intelligence",
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"Topic :: Software Development :: Libraries :: Python Modules",
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"License :: OSI Approved :: Apache Software License",
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"Operating System :: OS Independent",
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"Programming Language :: Python :: 3.10",
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]
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requires-python = ">=3.10"
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dependencies = [
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"cachetools<8,>=5.0.0",
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"click<9,>=7.0",
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"cloudpickle<4",
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"databricks-sdk<1,>=0.20.0",
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"fastapi<1",
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"gitpython<4,>=3.1.9",
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"importlib_metadata<10,>=3.7.0,!=4.7.0",
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"opentelemetry-api<3,>=1.9.0",
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"opentelemetry-proto<3,>=1.9.0",
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"opentelemetry-sdk<3,>=1.9.0",
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"packaging<27",
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"protobuf<8,>=3.12.0",
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"pydantic<3,>=2.0.0",
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"python-dotenv<2,>=0.19.0",
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"pyyaml<7,>=5.1",
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"requests<3,>=2.17.3",
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"sqlparse<1,>=0.4.0",
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"starlette<2",
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"typing-extensions<5,>=4.0.0",
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"uvicorn<1",
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]
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[[project.maintainers]]
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name = "Databricks"
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email = "mlflow-oss-maintainers@googlegroups.com"
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[project.license]
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file = "LICENSE.txt"
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[project.optional-dependencies]
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extras = [
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"pyarrow",
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"requests-auth-aws-sigv4",
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"boto3",
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"botocore",
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"google-cloud-storage>=1.30.0",
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"azureml-core>=1.2.0",
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"pysftp",
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"kubernetes",
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"prometheus-flask-exporter",
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]
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db = ["PyMySQL", "psycopg2-binary", "pymssql"]
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databricks = [
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"azure-storage-file-datalake>12",
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"google-cloud-storage>=1.30.0",
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"boto3>1",
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"botocore",
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"databricks-agents>=1.2.0,<2.0",
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]
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gateway = [
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"boto3<2,>=1.28.56",
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"fastapi<1",
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"slowapi<1,>=0.1.9",
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"tiktoken<1",
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"uvicorn[standard]<1",
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"watchfiles<2",
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]
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genai = [
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"boto3<2,>=1.28.56",
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"fastapi<1",
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"slowapi<1,>=0.1.9",
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"tiktoken<1",
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"uvicorn[standard]<1",
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"watchfiles<2",
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]
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mcp = ["fastmcp<4,>=2.7.0", "click!=8.3.0"]
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azure = ["azure-storage-blob>=12", "azure-identity>=1.6.1"]
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sqlserver = ["mlflow-dbstore"]
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aliyun-oss = ["aliyunstoreplugin"]
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jfrog = ["mlflow-jfrog-plugin"]
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kubernetes = ["kubernetes"]
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langchain = ["langchain>=0.3.26,<=1.3.4"]
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auth = ["Flask-WTF<2"]
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[project.urls]
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homepage = "https://mlflow.org"
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issues = "https://github.com/mlflow/mlflow/issues"
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documentation = "https://mlflow.org/docs/latest"
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repository = "https://github.com/mlflow/mlflow"
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[project.scripts]
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mlflow = "mlflow.cli:cli"
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[project.entry-points."mlflow.app"]
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basic-auth = "mlflow.server.auth:create_app"
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[project.entry-points."mlflow.app.client"]
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basic-auth = "mlflow.server.auth.client:AuthServiceClient"
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[project.entry-points."mlflow.deployments"]
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databricks = "mlflow.deployments.databricks"
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http = "mlflow.deployments.mlflow"
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https = "mlflow.deployments.mlflow"
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openai = "mlflow.deployments.openai"
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[tool.setuptools.package-data]
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mlflow = [
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"store/db_migrations/alembic.ini",
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"temporary_db_migrations_for_pre_1_users/alembic.ini",
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"pyspark/ml/log_model_allowlist.txt",
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"server/auth/basic_auth.ini",
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"server/auth/db/migrations/alembic.ini",
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"server/uvicorn_log_config.yaml",
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"models/notebook_resources/**/*",
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"ai_commands/**/*.md",
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"assistant/skills/**/*",
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"agent/setup/templates/**/*.md",
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]
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[tool.setuptools.packages.find]
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where = ["."]
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include = ["mlflow", "mlflow.*"]
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exclude = ["tests", "tests.*"]
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namespaces = false
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