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Update sample notebooks (fraud detection and recommendation examples) to use latest feathr api #921
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xiaoyongzhu
merged 23 commits into
feathr-ai:main
from
loomlike:jumin/update_get_result_df_examples
Jan 6, 2023
Merged
Update sample notebooks (fraud detection and recommendation examples) to use latest feathr api #921
xiaoyongzhu
merged 23 commits into
feathr-ai:main
from
loomlike:jumin/update_get_result_df_examples
Jan 6, 2023
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Signed-off-by: Jun Ki Min <[email protected]>
Signed-off-by: Jun Ki Min <[email protected]>
Signed-off-by: Jun Ki Min <[email protected]>
Signed-off-by: Jun Ki Min <[email protected]>
Signed-off-by: Jun Ki Min <[email protected]>
Signed-off-by: Jun Ki Min <[email protected]>
loomlike
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Dec 13, 2022
Signed-off-by: Jun Ki Min <[email protected]>
The feature embedding notebook test error will be fixed once #923 is get merged. |
Signed-off-by: Jun Ki Min <[email protected]>
…cies Signed-off-by: Jun Ki Min <[email protected]>
Signed-off-by: Jun Ki Min <[email protected]>
Signed-off-by: Jun Ki Min <[email protected]>
…ure example github Signed-off-by: Jun Ki Min <[email protected]>
blrchen
previously approved these changes
Dec 22, 2022
Signed-off-by: Jun Ki Min <[email protected]>
Signed-off-by: Jun Ki Min <[email protected]>
loomlike
changed the title
Update fraud_detection notebook to use latest utility api
Update sample notebooks (fraud detection and recommendation examples) to use latest feathr api
Dec 27, 2022
Signed-off-by: Jun Ki Min <[email protected]>
Signed-off-by: Jun Ki Min <[email protected]>
… US East 2 Signed-off-by: Jun Ki Min <[email protected]>
Signed-off-by: Jun Ki Min <[email protected]>
Signed-off-by: Jun Ki Min <[email protected]>
Signed-off-by: Jun Ki Min <[email protected]>
blrchen
previously approved these changes
Jan 4, 2023
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Thanks Jun for notebook improvements, let's get this merged for bug bash.
Signed-off-by: Jun Ki Min <[email protected]>
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blrchen
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Jan 5, 2023
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?