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Prepare for Release Recommenders 1.2.0 #2092

Merged
merged 2 commits into from Apr 30, 2024
Merged

Prepare for Release Recommenders 1.2.0 #2092

merged 2 commits into from Apr 30, 2024

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miguelgfierro
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Description

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References

Checklist:

  • I have followed the contribution guidelines and code style for this project.
  • I have added tests covering my contributions.
  • I have updated the documentation accordingly.
  • I have signed the commits, e.g. git commit -s -m "your commit message".
  • This PR is being made to staging branch AND NOT TO main branch.

@SimonYansenZhao SimonYansenZhao merged commit c81d56b into staging Apr 30, 2024
38 checks passed
@miguelgfierro miguelgfierro deleted the release/120 branch April 30, 2024 10:42
SimonYansenZhao added a commit that referenced this pull request May 1, 2024
…2094)

* Update SETUP.md

Remove left-over reference to conda script that has been deleted.

* remove cast to array in similarity functions

Signed-off-by: miguelgfierro <[email protected]>

* remove scipy limitation

Signed-off-by: miguelgfierro <[email protected]>

* flattening matrix so dataframe can be built correctly

Signed-off-by: Scott Graham <[email protected]>

* Adding toarray() suggested by @gramhagen

Signed-off-by: miguelgfierro <[email protected]>

* Added r-precision

Signed-off-by: David Davó <[email protected]>

* Added r-precision tests

Signed-off-by: David Davó <[email protected]>

* trying to substitude geta1 with ravel

Signed-off-by: miguelgfierro <[email protected]>

* Changed metric "result" to "result.toarray()"

Signed-off-by: Simon Zhao <[email protected]>

* Revert recommenders/models/sar/sar_singlenode.py

Signed-off-by: Simon Zhao <[email protected]>

* Use cooccurrence.toarray()

Signed-off-by: Simon Zhao <[email protected]>

* return result if isinstance(result, np.ndarray) else result.toarray()

Signed-off-by: Simon Zhao <[email protected]>

* Return numpy array instead of numpy matrix

Signed-off-by: Simon Zhao <[email protected]>

* Prepare for Release Recommenders 1.2.0 (#2092)

* New release Recommenders 1.2.0 💥💥

* updated news

Signed-off-by: miguelgfierro <[email protected]>

---------

Signed-off-by: miguelgfierro <[email protected]>
Co-authored-by: miguelgfierro <[email protected]>

* Add reference to scenarios to README.md

There is no link to the scenarios page from the front page, so it is hard to find. Added reference.

---------

Signed-off-by: miguelgfierro <[email protected]>
Signed-off-by: Scott Graham <[email protected]>
Signed-off-by: David Davó <[email protected]>
Signed-off-by: Simon Zhao <[email protected]>
Co-authored-by: Andreas Argyriou <[email protected]>
Co-authored-by: miguelgfierro <[email protected]>
Co-authored-by: Scott Graham <[email protected]>
Co-authored-by: David Davó <[email protected]>
Co-authored-by: Simon Zhao <[email protected]>
github-actions bot pushed a commit that referenced this pull request May 1, 2024
…2094)

* Update SETUP.md

Remove left-over reference to conda script that has been deleted.

* remove cast to array in similarity functions

Signed-off-by: miguelgfierro <[email protected]>

* remove scipy limitation

Signed-off-by: miguelgfierro <[email protected]>

* flattening matrix so dataframe can be built correctly

Signed-off-by: Scott Graham <[email protected]>

* Adding toarray() suggested by @gramhagen

Signed-off-by: miguelgfierro <[email protected]>

* Added r-precision

Signed-off-by: David Davó <[email protected]>

* Added r-precision tests

Signed-off-by: David Davó <[email protected]>

* trying to substitude geta1 with ravel

Signed-off-by: miguelgfierro <[email protected]>

* Changed metric "result" to "result.toarray()"

Signed-off-by: Simon Zhao <[email protected]>

* Revert recommenders/models/sar/sar_singlenode.py

Signed-off-by: Simon Zhao <[email protected]>

* Use cooccurrence.toarray()

Signed-off-by: Simon Zhao <[email protected]>

* return result if isinstance(result, np.ndarray) else result.toarray()

Signed-off-by: Simon Zhao <[email protected]>

* Return numpy array instead of numpy matrix

Signed-off-by: Simon Zhao <[email protected]>

* Prepare for Release Recommenders 1.2.0 (#2092)

* New release Recommenders 1.2.0 💥💥

* updated news

Signed-off-by: miguelgfierro <[email protected]>

---------

Signed-off-by: miguelgfierro <[email protected]>
Co-authored-by: miguelgfierro <[email protected]>

* Add reference to scenarios to README.md

There is no link to the scenarios page from the front page, so it is hard to find. Added reference.

---------

Signed-off-by: miguelgfierro <[email protected]>
Signed-off-by: Scott Graham <[email protected]>
Signed-off-by: David Davó <[email protected]>
Signed-off-by: Simon Zhao <[email protected]>
Co-authored-by: Andreas Argyriou <[email protected]>
Co-authored-by: miguelgfierro <[email protected]>
Co-authored-by: Scott Graham <[email protected]>
Co-authored-by: David Davó <[email protected]>
Co-authored-by: Simon Zhao <[email protected]>
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2 participants