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Author:
Amazon Web Services
Summary:
Open source library for training and deploying models on Amazon SageMaker.
Latest version:
2.237.1
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
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