pyproject.toml

[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"