v1.45.0
·
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