sagemaker

PyPI page
Home page
Author: Amazon Web Services
Summary: Open source library for training and deploying models on Amazon SageMaker.
Latest version: 2.242.0
Required dependencies: attrs | boto3 | cloudpickle | docker | fastapi | google-pasta | importlib-metadata | jsonschema | numpy | omegaconf | packaging | pandas | pathos | platformdirs | protobuf | psutil | pyyaml | requests | sagemaker-core | schema | smdebug-rulesconfig | tblib | tqdm | urllib3 | uvicorn
Optional dependencies: accelerate | apache-airflow | apache-airflow-providers-amazon | attrs | awslogs | black | build | cloudpickle | contextlib2 | coverage | deepdiff | docker | fabric | fastapi | flake8 | huggingface-hub | jinja2 | jsonpickle | mlflow | mock | nbformat | nest-asyncio | numpy | onnx | opentelemetry-proto | pandas | pillow | protobuf | pyspark | pytest | pytest-cov | pytest-rerunfailures | pytest-timeout | pytest-xdist | pyvis | pyyaml | requests | sagemaker-experiments | sagemaker-feature-store-pyspark-3-3 | sagemaker-mlflow | sagemaker-schema-inference-artifacts | schema | scikit-learn | scipy | stopit | tensorboard | tensorflow | tox | tritonclient | urllib3 | uvicorn | xgboost

Downloads last day: 881,803
Downloads last week: 5,540,051
Downloads last month: 21,297,332