Update sample notebooks (fraud detection and recommendation examples) to use latest feathr api - #921
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xiaoyongzhu merged 23 commits intoJan 6, 2023
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Signed-off-by: Jun Ki Min <42475935+loomlike@users.noreply.github.com>
Signed-off-by: Jun Ki Min <42475935+loomlike@users.noreply.github.com>
Signed-off-by: Jun Ki Min <42475935+loomlike@users.noreply.github.com>
Signed-off-by: Jun Ki Min <42475935+loomlike@users.noreply.github.com>
Signed-off-by: Jun Ki Min <42475935+loomlike@users.noreply.github.com>
Signed-off-by: Jun Ki Min <42475935+loomlike@users.noreply.github.com>
Signed-off-by: Jun Ki Min <42475935+loomlike@users.noreply.github.com>
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The feature embedding notebook test error will be fixed once #923 is get merged. |
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Signed-off-by: Jun Ki Min <42475935+loomlike@users.noreply.github.com>
…cies Signed-off-by: Jun Ki Min <42475935+loomlike@users.noreply.github.com>
Signed-off-by: Jun Ki Min <42475935+loomlike@users.noreply.github.com>
Signed-off-by: Jun Ki Min <42475935+loomlike@users.noreply.github.com>
…ure example github Signed-off-by: Jun Ki Min <42475935+loomlike@users.noreply.github.com>
blrchen
previously approved these changes
Dec 22, 2022
Signed-off-by: Jun Ki Min <42475935+loomlike@users.noreply.github.com>
Signed-off-by: Jun Ki Min <42475935+loomlike@users.noreply.github.com>
Signed-off-by: Jun Ki Min <42475935+loomlike@users.noreply.github.com>
Signed-off-by: Jun Ki Min <42475935+loomlike@users.noreply.github.com>
… US East 2 Signed-off-by: Jun Ki Min <42475935+loomlike@users.noreply.github.com>
Signed-off-by: Jun Ki Min <42475935+loomlike@users.noreply.github.com>
Signed-off-by: Jun Ki Min <42475935+loomlike@users.noreply.github.com>
Signed-off-by: Jun Ki Min <42475935+loomlike@users.noreply.github.com>
blrchen
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Jan 4, 2023
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Thanks Jun for notebook improvements, let's get this merged for bug bash.
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Signed-off-by: Jun Ki Min <42475935+loomlike@users.noreply.github.com>
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xiaoyongzhu
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Description
This PR refines and bug-fixes fraud_detection notebook.
The sample data sets are uploaded to public storage as well so that users can run the notebook.
While working on this update, I found an issue #920. You may use the fraud detection notebook in this PR to reproduce the issue.
How was this PR tested?
Notebook tests under /test/samples/
Does this PR introduce any user-facing changes?