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Add support for hyperparameter tuning jobs #1
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… it's not yet supported.
Fix whitespaces. Make python3 to be default for pytorch estimator.
Add Pytorch estimator and model
…sion based on the current environment python version.
Add integ tests for pytorch prediction.
Add job base class
aws#11 updated master to reflect the public SDK. This change brings this branch up to date.
… method (aws#15) * Refactor EstimatorBase and Framework to have a prepare_for_training() method * Specify argument directly instead of using **kwargs
This is following the series of changes for introducing a prepare_for_training() function. This also includes a small change to allow RecordSet to generate the input channel format expected by fit()
Since publicly this is being known as "hyperparameter tuning" (or some variation of that), it doesn't make sense that we'd use "hpo" everywhere
* Initial checkin of SageMaker HPO Analytics library.
Follow-up to aws#39, which fixed the circular dependency
We originally weren't honoring job names passed through fit(). This change fixes that.
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