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v1.45.0

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@sagemaker-bot sagemaker-bot released this 04 Dec 04:37
· 3279 commits to master since this release

Features

  • add support for TF 1.15.0, PyTorch 1.3.1 and MXNet 1.6rc0.
  • add S3Downloader.list(s3_uri) functionality
  • introduce SageMaker AutoML
  • wrap up Processing feature
  • add a few minor features to Model Monitoring
  • add enable_sagemaker_metrics flag
  • Amazon SageMaker Model Monitoring
  • add utils.generate_tensorboard_url function
  • Add jobs list to Estimator

Bug fixes and other changes

  • remove unnecessary boto model files
  • update boto version to >=1.10.32
  • correct Debugger tests
  • fix bug in monitor.attach() for empty network_config
  • Import smdebug_rulesconfig from PyPI
  • bump the version to 1.45.0 (publishes 1.46.0) for re:Invent-2019
  • correct AutoML imports and expose current_job_name
  • correct Model Monitor eu-west-3 image name.
  • use DLC prod images
  • remove unused env variable for Model Monitoring
  • aws model update
  • rename get_debugger_artifacts to latest_job_debugger_artifacts
  • remove retain flag from update_endpoint
  • correct S3Downloader behavior
  • consume smdebug_ruleconfig .whl for ITs
  • disable DebuggerHook and Rules for TF distributions
  • incorporate smdebug_ruleconfigs pkg until availability in PyPI
  • remove pre/post scripts per latest validations
  • update rules_config .whl
  • remove py_version from SKLearnProcessor
  • AutoML improvements
  • stop overwriting custom rules volume and type
  • fix tests due to latest server-side validations
  • Minor processing changes
  • minor processing changes (instance_count + docs)
  • update api to latest
  • Eureka master
  • Add support for xgboost version 0.90-2
  • SageMaker Debugger revision
  • Add support for SageMaker Debugger [WIP]
  • Fix linear learner crash when num_class is string and predict type is multiclass_classifier
  • Additional Processing Jobs integration tests
  • Migrate to updated Processing Jobs API
  • Processing Jobs revision round 2
  • Processing Jobs revision
  • remove instance_pools parameter from tuner
  • Multi-Algorithm Hyperparameter Tuning Support
  • Import Processors in init files
  • Remove SparkML Processors and corresponding unit tests
  • Processing Jobs Python SDK support