Marco Friaz 1c0826e55b Append the default_bucket_prefix to s3 paths if one exists to hyperparameter_tuning, introduction_to_amazon_algorithms and sagemaker-pipelines sample notebooks (#4807) ...

**Description**
This change checks the sagemaker session if there is a default_bucket_prefix set. If a default bucket prefix is specified, it is append it to the s3 path. This was done for hyperparameter_tuning, introduction_to_amazon_algorithms and sagemaker-pipelines sample notebooks. This ensures sample notebooks that utilize s3, works in SageMaker Unified Studio.

Co-authored-by: Marco Friaz <marfriaz@amazon.com>

2025-01-21 09:39:05 -08:00

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blazingtext_word2vec_text8.ipynb

Append the default_bucket_prefix to s3 paths if one exists to hyperparameter_tuning, introduction_to_amazon_algorithms and sagemaker-pipelines sample notebooks (#4807)

2025-01-21 09:39:05 -08:00

tsne.png

Add BlazingText notebook

2018-01-18 11:15:53 -08:00

validator.py

infra: format all .py files with black (#2223)

2021-05-11 14:31:59 -07:00