Built-in Algorithms — sagemaker 2.199.0 documentation (original) (raw)

• Using the SageMaker Python SDK
• Use Version 2.x of the SageMaker Python SDK
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  • Tabular
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  • Unsupervised
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Built-in algorithms are offered in 2 modes:

• Container mode algorithms offered through Estimators & Amazon Estimators

• Script mode algorithms based on pre-built SageMaker Docker Images offered through Estimators

• Amazon Estimators

• Tabular

  • AutoGluon
  • CatBoost
  • Factorization Machines
  • K-Nearest Neighbors
  • LightGBM
  • LinearLearner
  • TabTransformer
  • XGBoost

• Text

  • Blazing Text
  • LDA
  • NTM
  • Object2Vec
  • Sequence-to-Sequence
  • Text Classification - TensorFlow
  • Sentence Pair Classification - TensorFlow
  • Sentence Pair Classification - HuggingFace
  • Question Answering - PyTorch
  • Named Entity Recognition - HuggingFace
  • Text Summarization - HuggingFace
  • Text Generation - HuggingFace
  • Machine Translation - HuggingFace

• Time-series

  • Deep AR Forecasting

• Unsupervised

  • IP Insights
  • K-means
  • PCA
  • Random Cut Forest

• Vision

  • Image Classification - TensorFlow
  • Image Classification - PyTorch
  • Image Classification - MxNet
  • Image Embedding - TensorFlow
  • Instance Segmentation - MXNet
  • Object Detection - TensorFlow
  • Object Detection - PyTorch
  • Object Detection - MxNet GluonCV
  • Object Detection - MxNet
  • Semantic Segmentation - MxNet GluonCV
  • Semantic Segmentation - MxNet
  • Text Embedding - TensorFlow, MxNet