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SPARQL / RDF Machine Learning guides #252

Merged
merged 50 commits into from
Feb 22, 2022
Merged

SPARQL / RDF Machine Learning guides #252

merged 50 commits into from
Feb 22, 2022

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charlesivie
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Issue #, if available:

Description of changes:

SPARQL / RDF notebooks guides for Machine Learning:
Object Classification
Object Regression
Link Prediction

Also added new script for processing RDF and persisting it to the cluster for inference tasks.

bechbd
bechbd reviewed Jan 28, 2022
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I did not get a chance to try out the notebooks yet so I will try to do that on Monday. Added some comments on the utils class below. Additionally you will need to do the following in order for the unit tests to pass:

You should also update the Change Log with your changes
https://github.com/aws/graph-notebook/blob/main/ChangeLog.md

...book/notebooks/04-Machine-Learning/Neptune-ML-SPARQL/neptune-ml-pretrained-model-config.json Outdated Show resolved Hide resolved
src/graph_notebook/notebooks/04-Machine-Learning/Neptune-ML-SPARQL/neptune_ml_sparql_utils.py Outdated Show resolved Hide resolved
src/graph_notebook/notebooks/04-Machine-Learning/Neptune-ML-SPARQL/neptune_ml_sparql_utils.py Show resolved Hide resolved
src/graph_notebook/notebooks/04-Machine-Learning/Neptune-ML-SPARQL/neptune_ml_sparql_utils.py Outdated Show resolved Hide resolved
src/graph_notebook/notebooks/04-Machine-Learning/Neptune-ML-SPARQL/neptune_ml_sparql_utils.py Show resolved Hide resolved
src/graph_notebook/notebooks/04-Machine-Learning/Neptune-ML-SPARQL/neptune_ml_sparql_utils.py Outdated Show resolved Hide resolved
src/graph_notebook/notebooks/04-Machine-Learning/Neptune-ML-SPARQL/neptune_ml_sparql_utils.py Show resolved Hide resolved
michaelnchin and others added 16 commits February 2, 2022 12:12
@michaelnchin
Rename gremlin profile args for clarity (#249)
2202df7 
Co-authored-by: Michael Chin <[email protected]>
@michaelnchin
Add --results-per-page query option (#242)
1dc71f8 
* Add -r option

* Replace interval value

* Add upper limit

Co-authored-by: Michael Chin <[email protected]>
@michaelnchin
Pin ipython<7.17.0 to patch vulnerability (#250)
b5b48d0 
Co-authored-by: Michael Chin <[email protected]>
@michaelnchin
Disable root logger output (#248)
12a5408 
Co-authored-by: Michael Chin <[email protected]>
@michaelnchin
Fix OC Bolt metadata (#255)
bf8f49d 
* Fix OC Bolt query metadata output

* Add OC metadata tests

Co-authored-by: Michael Chin <[email protected]>
@michaelnchin
Add groupby raw node result option (#253)
76c3c04 
* Add --group-by-raw query option

* Add unit tests

Co-authored-by: Michael Chin <[email protected]>
@michaelnchin
Add Gremlin group-by-depth (#251)
659b590 
* Add --group-by-depth to Gremlin, modify OC with same explicit param

* Add tests

* PEP8 fixes

Co-authored-by: Michael Chin <[email protected]>
@charlesivie
addressing comment left in PR #252 related to better conditional stat…
328df92 
…ements
@michaelnchin
Update ChangeLog.md
2f07062
@krlawrence @michaelnchin
Suffix all doubles with d. Node batch reduced to 40 (#257)
486c441 
* Suffix all doubles with d. Node batch reduced to 40

* Update changelog for seed file changes

* Update ChangeLog.md

* Update ChangeLog.md

Co-authored-by: Michael Chin <[email protected]>
@michaelnchin
Convert Decimal type results to float for Gremlin (#256)
b5d1885 
* Convert Decimal type values in GremlinNetwork

* replace star import

* Revert temp test change

* Convert decimal type edge properties

* Update Changelog

Co-authored-by: Michael Chin <[email protected]>
@charlesivie
removed hard coded genre deletes, and moved them into the notebook.
8b611ea
@charlesivie
removed hard coded genre deletes, and moved them into the notebook.
96cf4b3
@charlesivie
removed hard coded ciritcScore deletes, and moved them into the noteb…
f23ffcc 
…ook.
@charlesivie
removed hard coded link prediction retractions, and moved them into t…
deb3475 
…he notebook.
@charlesivie
completed the Getting Started notebook with the pretrained models.
f7c1387
@charlesivie
completed the Getting Started notebook with the pretrained models.
6ec410a
@charlesivie
added RDF ML notebooks
e0bcb5c
@charlesivie
cleaning up the code a bit
fc044c9
@charlesivie
completed regression and classification for SPARQL ML
525517f
@charlesivie
Complete notebooks for SPARQL Classification - Regression and Link Pr…
3aa1c71 
…ediction
@charlesivie
Complete notebooks for SPARQL Classification - Regression and Link Pr…
2b8a6c5 
…ediction
@charlesivie
added RDF ML notebooks
5db47ba
@charlesivie
cleaning up the code a bit
95f1ab8
@charlesivie
completed regression and classification for SPARQL ML
2c15347
@charlesivie
Complete notebooks for SPARQL Classification - Regression and Link Pr…
6b1c763 
…ediction
@charlesivie
Complete notebooks for SPARQL Classification - Regression and Link Pr…
9368594 
…ediction
@charlesivie
addressing comment left in PR #252 related to better conditional stat…
1a3efdc 
…ements
@charlesivie
removed hard coded genre deletes, and moved them into the notebook.
b285ab0
@charlesivie
removed hard coded genre deletes, and moved them into the notebook.
899d0f8
@charlesivie
removed hard coded ciritcScore deletes, and moved them into the noteb…
bed78fa 
…ook.
@charlesivie
removed hard coded link prediction retractions, and moved them into t…
c98d96f 
…he notebook.
@charlesivie
completed the Getting Started notebook with the pretrained models.
a6f6330
@charlesivie
completed the Getting Started notebook with the pretrained models.
3e1ee57
@charlesivie
Merge branch 'RDF-ML' of github.com:aws/graph-notebook into RDF-ML
e4bd2fb
@charlesivie
tests passing for new SPARQL ML notebooks
41c88c1
@charlesivie
Added detail fo new SPARQL/RDF ML notebooks to the change log
e4aa9e6
@charlesivie
fixed bugs in link prediction, amde small improvements after review
c1ae8ab
bechbd
bechbd previously approved these changes Feb 16, 2022
View reviewed changes
...tebooks/04-Machine-Learning/Neptune-ML-01-Introduction-to-Object-Classification-SPARQL.ipynb Outdated
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This needs to be changed to import neptune_ml_rdf_utils as neptune_ml

src/graph_notebook/notebooks/04-Machine-Learning/Neptune-ML-SPARQL/neptune_ml_sparql_utils.py
return f'{prefix}-{int(time.time())}'


def check_ml_enabled():
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This should also probably add a check to make sure it is of a new enough version.

@charlesivie charlesivie merged commit 34d16e5 into main Feb 22, 2022
@michaelnchin michaelnchin deleted the RDF-ML branch March 1, 2022 01:45
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@bechbd bechbd bechbd approved these changes

@krlawrence krlawrence Awaiting requested review from krlawrence

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@charlesivie @bechbd @michaelnchin @krlawrence