[tool.poetry] name = "sagemaker-mlflow-mlops" version = "0.1.0" description = "" authors = [""] [tool.poetry.dependencies] python = ">=3.9,<3.12" aws-cdk-lib = "^2.20.0" constructs = "^10.0.115" "aws-cdk.aws-lambda-python-alpha" = "^2.20.0-alpha.0" cdk-ecr-deployment = "^2.5.5" mlflow-skinny = "^1.28.0" [tool.poetry.dev-dependencies] black = "^22.3.0" ipykernel = "^6.13.0" aws-lambda-powertools = "^1.25.7" boto3-stubs = {extras = ["essential", "sagemaker", "secretsmanager", "stepfunctions"], version = "^1.24.46"} python-dotenv = "^0.20.0" jsonpickle = "^2.2.0" sagemaker = "^2.103.0" databricks-registry-webhooks = "^0.1.1" cfn-response = "^0.0.4" crhelper = "^2.0.11" scikit-learn = "0.24.1" xgboost = "1.5" sagemaker-inference = "1.5.5" mlflow-skinny = "^1.28.0" [tool.poetry.group.dev.dependencies] setuptools = "^65.5.0" [build-system] requires = ["poetry-core>=1.0.0"] build-backend = "poetry.core.masonry.api"