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…mation on AWS built-in algorithms in the description.
mvsusp
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Dec 8, 2017
README.rst
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| @@ -1419,6 +1426,20 @@ The full list of algorithms is available on the AWS website: https://docs.aws.am | |||
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| SageMaker Python SDK includes Estimator wrappers for the AWS K-means, Principal Components Analysis, and Liner Learner algorithms. | |||
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I know you didn't change this line, but would you mind to fix the type Liner -> Linear?
README.rst
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| Estimators that wrap Amazon's built-in algorithms define algorithm's hyperparameters with defaults. When a default is not possible you need to provide the value during construction: | ||
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| - ``KMean`` Estimator requires parameter ``k`` to define number of clusters | ||
| - ``PCA`` Estimator requires parameter ``num_components`` to define number of principal components |
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Can you add a code block with example usage of these estimators here?
README.rst
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| Predictions support | ||
| ~~~~~~~~~~~~~~~~~~~ | ||
| Calling inference on deployed Amazon's built-in algorithms you must follow specific input format. By default this library creates a predictor that allows to use just numpy data. |
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Calling inference on deployed Amazon's built-in algorithms requires a specific input format. By default , ...
Additional details about RecordSet.
laurenyu
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Dec 14, 2017
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May 31, 2018
aws#11 updated master to reflect the public SDK. This change brings this branch up to date.
apacker
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Nov 15, 2018
Arpin xgboostchurn linearforecast
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Add SageMaker banner and reference it from the README.rst
Add link to 'Read the Docs'.
Provide more information on AWS built-in algorithms in the description.