sagemaker - Oven

sagemaker2.254.1

Published 13 days ago

Open source library for training and deploying models on Amazon SageMaker.

pip install sagemaker

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Requires Python

>=3.9

Dependencies

attrs<26,>=24
boto3<2.0,>=1.39.5
cloudpickle>=2.2.1
docker
fastapi
google-pasta
graphene<4,>=3
importlib-metadata<7.0,>=1.4.0
jsonschema
numpy<3.0,>=1.26.4
omegaconf<3,>=2.2
packaging<25,>=23.0
pandas>=2.3.0
pathos
platformdirs
protobuf<6.32,>=3.12
psutil
pyyaml>=6.0.1
requests
sagemaker-core<2.0.0,>=1.0.17
schema
smdebug-rulesconfig==1.0.1
tblib<4,>=1.7.0
tqdm
urllib3<3.0.0,>=1.26.8
uvicorn
accelerate<=0.27.0,>=0.24.1; extra == "all"
docker<8.0.0,>=5.0.2; extra == "all"
fastapi>=0.111.0; extra == "all"
nest-asyncio; extra == "all"
pyspark==3.3.2; extra == "all"
pyyaml<7,>=6.0.1; extra == "all"
sagemaker-feature-store-pyspark-3-3; extra == "all"
sagemaker-mlflow>=0.1.0; extra == "all"
sagemaker-schema-inference-artifacts>=0.0.5; extra == "all"
scipy==1.13.0; extra == "all"
urllib3<3.0.0,>=1.26.8; extra == "all"
uvicorn>=0.30.1; extra == "all"
pyspark==3.3.2; extra == "feature-processor"
sagemaker-feature-store-pyspark-3-3; extra == "feature-processor"
accelerate<=0.27.0,>=0.24.1; extra == "huggingface"
fastapi>=0.111.0; extra == "huggingface"
nest-asyncio; extra == "huggingface"
sagemaker-schema-inference-artifacts>=0.0.5; extra == "huggingface"
uvicorn>=0.30.1; extra == "huggingface"
docker<8.0.0,>=5.0.2; extra == "local"
pyyaml<7,>=6.0.1; extra == "local"
urllib3<3.0.0,>=1.26.8; extra == "local"
sagemaker-mlflow>=0.1.0; extra == "sagemaker-mlflow"
scipy==1.13.0; extra == "scipy"
accelerate<=0.27.0,>=0.24.1; extra == "test"
apache-airflow-providers-amazon==7.2.1; extra == "test"
apache-airflow==2.10.4; extra == "test"
attrs<26,>=24; extra == "test"
awslogs==0.14.0; extra == "test"
black==24.3.0; extra == "test"
build[virtualenv]==1.2.1; extra == "test"
cloudpickle==2.2.1; extra == "test"
contextlib2==21.6.0; extra == "test"
coverage<6.2,>=5.2; extra == "test"
deepdiff>=8.0.0; extra == "test"
docker<8.0.0,>=5.0.2; extra == "test"
fabric==3.2.2; extra == "test"
fastapi==0.115.4; extra == "test"
fastapi>=0.111.0; extra == "test"
flake8==7.1.2; extra == "test"
flask-limiter==3.11; extra == "test"
huggingface-hub==0.26.2; extra == "test"
jinja2==3.1.6; extra == "test"
jsonpickle<4.0.0; extra == "test"
lexicon; extra == "test"
mlflow<3,>=2.14.2; extra == "test"
mock==4.0.3; extra == "test"
mypy-boto3-appflow==1.35.39; extra == "test"
mypy-boto3-rds==1.35.72; extra == "test"
mypy-boto3-redshift-data==1.35.51; extra == "test"
mypy-boto3-s3==1.35.76; extra == "test"
mypy-extensions==1.0.0; extra == "test"
mypy==1.9.0; extra == "test"
nbformat<6,>=5.9; extra == "test"
nest-asyncio; extra == "test"
networkx==3.2.1; extra == "test"
numpy<3.0,>=2.0.0; extra == "test"
onnx==1.17.0; extra == "test"
opentelemetry-exporter-otlp==1.27.0; extra == "test"
opentelemetry-proto==1.27.0; extra == "test"
orderly-set<5.4.0; extra == "test"
pandas>=2.3.0; extra == "test"
pillow<=11,>=10.0.1; extra == "test"
protobuf==4.25.8; extra == "test"
pyspark==3.3.2; extra == "test"
pytest-cov==3.0.0; extra == "test"
pytest-rerunfailures==10.2; extra == "test"
pytest-timeout==2.1.0; extra == "test"
pytest-xdist==2.4.0; extra == "test"
pytest==6.2.5; extra == "test"
pyvis==0.2.1; extra == "test"
pyyaml<7,>=6.0.1; extra == "test"
pyyaml>=6.0.1; extra == "test"
requests==2.32.2; extra == "test"
sagemaker-experiments==0.1.35; extra == "test"
sagemaker-feature-store-pyspark-3-3; extra == "test"
sagemaker-mlflow>=0.1.0; extra == "test"
sagemaker-schema-inference-artifacts>=0.0.5; extra == "test"
schema==0.7.5; extra == "test"
scikit-learn==1.6.1; extra == "test"
scipy==1.13.0; extra == "test"
stopit==1.1.2; extra == "test"
tensorboard<=2.18.0,>=2.16.2; extra == "test"
tensorflow<=2.19.0,>=2.16.2; extra == "test"
tox==3.24.5; extra == "test"
tritonclient[http]<2.37.0; extra == "test"
urllib3<3.0.0,>=1.26.8; extra == "test"
uvicorn>=0.30.1; extra == "test"
xgboost<=1.7.6,>=1.6.2; extra == "test"