Fix docs about s3_input usage #258
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nadiaya
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Jun 26, 2018
src/sagemaker/tensorflow/README.rst
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| - ``str``: An S3 URI, for example ``s3://my-bucket/my-training-data``, which indicates the dataset's location. | ||
| - ``dict[str, str]``: A dictionary mapping channel names to S3 locations, for example ``{'train': 's3://my-bucket/my-training-data/train', 'test': 's3://my-bucket/my-training-data/test'}`` | ||
| - ``sagemaker.session.s3_input``: channel configuration for S3 data sources that can provide additional information about the training dataset. See `the API docs <https://sagemaker.readthedocs.io/en/latest/session.html#sagemaker.session.s3_input>`_ for full details. |
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Doesn't it also contain dataset (besides additional information about it)?
nadiaya
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Jun 26, 2018
apacker
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Nov 15, 2018
It will generate type error without int
knakad
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Nov 27, 2019
* change: add support for xgboost version 0.90-2 * fix: remove duplicate rule in test_debugger.py:test_mxnet_with_all_rules_and_configs
knakad
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Dec 4, 2019
* change: add support for xgboost version 0.90-2 * fix: remove duplicate rule in test_debugger.py:test_mxnet_with_all_rules_and_configs
knakad
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Dec 4, 2019
* change: add support for xgboost version 0.90-2 * fix: remove duplicate rule in test_debugger.py:test_mxnet_with_all_rules_and_configs
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Description of changes:
Added mention of the
s3_inputtype forfit()with TF - we got contacted about there being confusion around that. Also fixed the description for compression type based on the AWS docsMerge Checklist
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