A Spark library for Amazon SageMaker.
APACHE-2.0 License
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SageMaker Spark is an open source Spark library for Amazon SageMaker. With SageMaker Spark you construct Spark ML Pipeline
s using Amazon SageMaker stages. These pipelines interleave native Spark ML stages and stages that interact with SageMaker training and model hosting.
With SageMaker Spark, you can train on Amazon SageMaker from Spark DataFrame
s using Amazon-provided ML algorithms like K-Means clustering or XGBoost, and make predictions on DataFrame
s against SageMaker endpoints hosting your trained models, and, if you have your own ML algorithms built into SageMaker compatible Docker containers, you can use SageMaker Spark to train and infer on DataFrame
s with your own algorithms -- all at Spark scale.