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Merged
merged 3 commits into from
Apr 1, 2019
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documentation: spelling error correction #727

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documentation: spelling error correction
doc-E-brown Mar 28, 2019
20f2746
Merge branch 'master' into estimator_typo
icywang86rui Apr 1, 2019
4499a20
Merge branch 'master' into estimator_typo
icywang86rui Apr 1, 2019
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4 changes: 2 additions & 2 deletions src/sagemaker/estimator.py
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Expand Up @@ -73,7 +73,7 @@ def __init__(self, role, train_instance_count, train_instance_type,
'File' - Amazon SageMaker copies the training dataset from the S3 location to a local directory.
'Pipe' - Amazon SageMaker streams data directly from S3 to the container via a Unix-named pipe.
This argument can be overriden on a per-channel basis using ``sagemaker.session.s3_input.input_mode``.
output_path (str): S3 location for saving the trainig result (model artifacts and output files).
output_path (str): S3 location for saving the training result (model artifacts and output files).
If not specified, results are stored to a default bucket. If the bucket with the specific name
does not exist, the estimator creates the bucket during the
:meth:`~sagemaker.estimator.EstimatorBase.fit` method execution.
Expand Down Expand Up @@ -633,7 +633,7 @@ def __init__(self, image_name, role, train_instance_count, train_instance_type,
* 'Pipe' - Amazon SageMaker streams data directly from S3 to the container via a Unix-named pipe.

This argument can be overriden on a per-channel basis using ``sagemaker.session.s3_input.input_mode``.
output_path (str): S3 location for saving the trainig result (model artifacts and output files).
output_path (str): S3 location for saving the training result (model artifacts and output files).
If not specified, results are stored to a default bucket. If the bucket with the specific name
does not exist, the estimator creates the bucket during the
:meth:`~sagemaker.estimator.EstimatorBase.fit` method execution.
Expand Down