Files
amazon-sagemaker-examples/.gitignore
Hongshan Li 0abd786f22 MNIST offline mode with MXNet/PyTorch/TensorFlow (#1787)
* mnist train and test notebooks tested on local mode

* added config.json for global config

* training notebook requires user to be in the same region as the public s3 bucket

* default to non-local mode

* Website preview (#1764)

* mnist train and test notebooks tested on local mode

* added config.json for global config

* training notebook requires user to be in the same region as the public s3 bucket

* default to non-local mode

* cleared output / added sym link to global config.json

* minor fix

* added swp file to gitignore;

* added updated mxnet examples

* train entry point tested

* train notebook ready

* train / inference tested

* inference.py not needed

* removed zombie cells / changed public model addr

* cleared outputs

* default to non-local mode

* default to non-local mode

* removed downloaded model

* default to nonlocal mode

* small bug fix

* Pytorch vpc (#1780)

* deleted training notebook

* train / deployment notebook tested in local mode

* default to non-local mode

* added utils

* changed rst

* removed a trained model

* Website preview (#1785)

* Notebook cleaned and data on S3 - XGBoost (#1713)

* Notebook cleaned and data on S3

* Cleared all cell outputs

* formatting a cell

* PR comments addressed

* PR comments addressed

* Instance type updated

* Bucket changed to prod regions bucket and citation added

* Deleted install instructions

* Cleaned up Linear Learner notebook (#1709)

* Cleaned up Linear Learner notebook

* directory name changed on S3

* PR comments addressed

* Updated instance type and kernel

* Bucket changed to prod bucket and citation added

* Changed parameter name as in SageMaker v2

* Update introduction_to_amazon_algorithms/linear_learner_abalone/Linear_Learner_Regression_csv_format.ipynb

Co-authored-by: Aaron Markham <markhama@amazon.com>

* Update introduction_to_amazon_algorithms/linear_learner_abalone/Linear_Learner_Regression_csv_format.ipynb

Co-authored-by: Aaron Markham <markhama@amazon.com>

* Update introduction_to_amazon_algorithms/linear_learner_abalone/Linear_Learner_Regression_csv_format.ipynb

Co-authored-by: Aaron Markham <markhama@amazon.com>

* Update introduction_to_amazon_algorithms/linear_learner_abalone/Linear_Learner_Regression_csv_format.ipynb

Co-authored-by: Aaron Markham <markhama@amazon.com>

* Update introduction_to_amazon_algorithms/linear_learner_abalone/Linear_Learner_Regression_csv_format.ipynb

Co-authored-by: Aaron Markham <markhama@amazon.com>

* Update introduction_to_amazon_algorithms/linear_learner_abalone/Linear_Learner_Regression_csv_format.ipynb

Co-authored-by: Aaron Markham <markhama@amazon.com>

Co-authored-by: Aaron Markham <markhama@amazon.com>

* Image classification notebook fix + data source on S3 (#1700)

* Fixing notebooks

* Cleared all outputs

* PR comments addressed and code cleaned

* Typo fix

* Added kernel type in description

* Fixed instance type to studio

* Added instance type

* Data bucket changed to prod bucket

* Download links added

* estimator parameter changed to be compatible with SageMaker v2

* Update introduction_to_amazon_algorithms/imageclassification_caltech/Image-classification-transfer-learning-highlevel.ipynb

Co-authored-by: Aaron Markham <markhama@amazon.com>

Co-authored-by: Aaron Markham <markhama@amazon.com>

* Small fix, notebook formatting, data on S3 - PCA (#1715)

* Small fix and notebook formatting

* Variable name changed

* Updated instance type and kernel

* Bucket changed to prod bucket

* Changed parameter name in Estimator as in SageMaker v2

* Added missing import

Co-authored-by: Aaron Markham <markhama@amazon.com>

* website: add getting started videos; rename featured examples to studio (#1758)

* add getting started videos; rename featured examples to studio

* vidoes for getting started; combine to same page

* refactor byo algo with pipe mode to be python3 and sdk v2 (#1690)

* Docs: Deleting working_with_redshift_data.ipynb

New notebook will cover this topic in more depth. Deleting to remove duplication. https://github.com/aws/amazon-sagemaker-examples/issues/1447

* add GT video, fix links, update copyright notice (#1763)

* train entry point tested

* train notebook ready

* train / inference tested

* inference.py not needed

* default to non-local mode

* default to non-local mode

* removed downloaded model

* removed a trained model

Co-authored-by: vivekmadan2 <53404938+vivekmadan2@users.noreply.github.com>
Co-authored-by: Aaron Markham <markhama@amazon.com>
Co-authored-by: Talia <31782251+TEChopra1000@users.noreply.github.com>

* add a line break

* editorial fix par style guide

* removed swp file

* fix json

* fixed typos

* bug fix

* better way to upload data

* deleted empty cell

* tensorflow / pytorch tested

* removed mxnet for more testing

* cleared output

* removed mxnet from rst

* minor fixes

Co-authored-by: vivekmadan2 <53404938+vivekmadan2@users.noreply.github.com>
Co-authored-by: Aaron Markham <markhama@amazon.com>
Co-authored-by: Talia <31782251+TEChopra1000@users.noreply.github.com>
2020-11-24 00:33:47 -08:00

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**/.ipynb_checkpoints
**/.idea
**/__pycache__
**/.aws-sam
.DS_Store
**/_build