s3io | s3io : An IO-compatible wrapper for S3 in Ruby | AWS library
kandi X-RAY | s3io Summary
kandi X-RAY | s3io Summary
An IO-compatible wrapper for S3. Note: this repository was moved to to the maintainer's account. Amazon's official AWS SDK (version 1) provides an API for S3 that isn't compatible with Ruby's standard IO class and its derivatives. This gem provides a thin wrapper around AWS SDK (version 1) that makes it possible to access objects stored on S3 as if they were instances of File or StringIO classes. Both streamed reads and writes are supported.
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Top functions reviewed by kandi - BETA
- Parse the separator .
- Read from S3 .
- Write data to the stream
- Flush the contents of the file .
- Closes the S3 object .
- Get a list of strings .
- Determine if the resource is available .
s3io Key Features
s3io Examples and Code Snippets
Community Discussions
Trending Discussions on s3io
QUESTION
Using Amazon Sagemaker, I created an Xgboost model. After unpacking the resulting tar.gz file, I end up with a file "xgboost-model".
The next step will be to upload the model directly from my S3 bucket, without downloading it using pickle. Here is what I tried:
...ANSWER
Answered 2018-Jul-12 at 20:57My assumption is you have trained the model using Sagemaker XGBoost built-in algorithm. You would like to use that model and do the predictions in your own hosting environment (not Sagemaker hosting).
pickle.load(file)
reads a pickled object from the open file object file and pickle.loads(bytes_object)
reads a pickled object from a bytes object and returns the deserialized object. Since you have the S3 object already downloaded (into memory) as bytes, you can use pickle.loads
without using open
QUESTION
Im executing this command:
...ANSWER
Answered 2017-Jul-13 at 13:50You specify wrong hmmdir. Try this
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