Add output_data property to EstimatorBase class

**Describe the feature you'd like**

As documented here:
https://sagemaker.readthedocs.io/en/stable/api/training/estimators.html#sagemaker.estimator.EstimatorBase.model_data, the `EstimatorBase` class provides a convenient method to pointing to the model .tar.gz archive location in S3 once `estimator.fit()` has been called.

Additionally to model data, SageMaker provides the ability to generate "output data" (different from "model data") when dumping files during training (e.g. experiment logs) to the directory defined by the environment variable `SM_OUTPUT_DATA_DIR`

Having a similar property in the `EstimatorBase` class, pointing to the output data .tar.gz archive location in S3 would be useful for developers wishing to manipulate that archive. It could be named, for example, `estimator.output_data`

**How would this feature be used? Please describe.**

Example use case:
1. Fit an estimator
2. During training, dump some files of interest to output data dir
3. Files are archived in output.tar.gz by SageMaker after .fit()
4. Access S3 location by using `estimator.output_data` and download output data archive locally.
5. Use output data archive locally, e.g. consult experiment logs

**Describe alternatives you've considered**

Compute the output_data location manually (potentially re-using the `.model_data` property)

Inizia leggendo la proprietà model_data di EstimatorBase e il flusso di fit() che determina la posizione S3 di output.tar.gz. Traccia il modo in cui SM_OUTPUT_DATA_DIR viene archiviato dopo l'addestramento, quindi verifica che la nuova proprietà output_data esponga quella posizione dell'archivio al completamento di fit().

Scritto dal modello di indicizzazione a partire dal testo della issue.