Get started with SageMaker Pipelines
========================================

Amazon SageMaker Model Building Pipelines is a tool for building machine learning pipelines that take advantage of direct SageMaker integration.

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   :maxdepth: 1

   tabular/abalone_build_train_deploy/sagemaker-pipelines-preprocess-train-evaluate-batch-transform
   tabular/customizing_build_train_deploy_project/modelbuild/sagemaker-pipelines-customized-project
   tabular/tensorflow2-california-housing-sagemaker-pipelines-deploy-endpoint/tensorflow2-california-housing-sagemaker-pipelines-deploy-endpoint
   nlp/amazon_comprehend_sagemaker_pipeline/sm_pipeline_with_comprehend
   time_series_forecasting/amazon_forecast_pipeline/sm_pipeline_with_amazon_forecast
   sagemaker-pipelines/tabular/automl-step/sagemaker_autopilot_pipelines_native_auto_ml_step
   sagemaker-pipelines/tabular/tuning-step/sagemaker-pipelines-tuning-step
   sagemaker-pipelines/tabular/lambda-step/sagemaker-pipelines-lambda-step
   sagemaker-pipelines/tabular/model-monitor-clarify-pipelines/sagemaker-pipeline-model-monitor-clarify-steps
   sagemaker-pipelines/tabular/customizing_build_train_deploy_project/sagemaker-pipelines-customized-project
   sagemaker-pipelines/tabular/train-register-deploy-pipeline-model/train register and deploy a pipeline model
   sagemaker-pipelines/tabular/emr-step/sagemaker-pipelines-emr-step-with-running-emr-cluster
   sagemaker-pipelines/tabular/emr-step/sagemaker-pipelines-emr-step-with-cluster-lifecycle-management


Pipeline Parameterization
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   :maxdepth: 1

   ../sagemaker-pipeline-parameterization/parameterized-pipeline
   

SageMaker Pipeline Multi-Model
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   ../sagemaker-pipeline-multi-model/restate-project
   
Pipeline Compare
============================

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   :maxdepth: 1

   ../sagemaker-pipeline-compare-model-versions/notebook


Launch AutoML with Pipelines
============================

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   :maxdepth: 1

   tabular/automl-step/sagemaker_autopilot_pipelines_native_auto_ml_step