Build 0.2.2 "Tanabata" to mangaki.fr #400
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- Fix JP translation
- Fix WorkCluster
- Improve AniDB
- Move notebooks to another repo
* Unify KNN * Add __init__.py in test folder * Allow ANY algorithm in production * Take reviews into account * Last changes
* Factorize algorithms, create Dataset class and fit_algo management command * Fix bug * Remove useless code
* Add new class RecommendationAlgorithm and refactor algorithms * Fix typo, BTW this PR fixes #267 * Add comment * Cleanup * nb_users and nb_works are instance attributes
* Remove first_name and last_name from Artist * Remove from model as well
This is a first step towards the resolution of #59. It allows anonymous users to rate works, and keeps the state of the rated works across consecutive page loads in Django's session. For now, the usage of this information is limited: although anonymous user can rate works, they cannot get recommendations from those ratings, transfer them to a new or existing account, etc. Support for these will come in subsequent patches.
* Since TensorFlow 1.0, MangakiWALS models cannot be saved anymore * Fix pickle path everywhere * Add minimal test for recommendations * Fix unused parameter
This is a second step towards the resolution of #59. It allows anonymous users to get recommendations (using the KNN algorithm only, since we do not have trained models for them). This is implemented by making the various algorithms take directly a list or (user_id, work_id, choice) triplets instead of building those from a queryset, as well as some glue to add the relevant triplets from anonymous users at the interface between the database and the algorithms themselves.
The seed_data.json was not updated after first_name and last_name were removed from Artist. This fixes that.
* Simplify circle config * Fix matplotlib.pyplot * Speculative improvements * relative paths... * Move coverarc to mangaki * Try enabling test reports * Test reports, take 2 * Parallel run is slower
This provides little information (especially considering how cryptic what it does is), and the way it is computed gets in the way whenever we want to change things relative to ratings. Note that it would be easy to add this again if the needs arises as even though the value is dynamically updated in various places, it is easy to re-compute it from the sets of Suggestions and Recommendations the user submitted.
We are not using it anymore. Fixes #264.
Allow users without an existing account to import anonymous ratings upon account creation. The backend logic behind this is relatively simple and simply requires overriding django-allauth's signup view to move the anonymous ratings from the session to the database, associating them to the freshly created user. On the frontend side, this adds: - On the signup page, if the user has made any anonymous ratings, we add a checkbox allowing them to import their ratings (active by default), as well as a condensed view of their existing ratings. This leverages the works_no_poster.html view and allows the user to change their anonymous ratings directly on the signup page if they wish to do so. - On the login page, if the user has made any anonymous ratings, we add a warning message telling them that they will lose their anonymous ratings upon login (even though technically, they lose it upon logging out) and that they should create a new account if they want to keep those ratings. In the future, this should be replaced with a mechanism to merge existing anonymous ratings with the user's existing ratings. As a byproduct, this patch includes a slight re-design of the login and signup pages, and changes the library we use for displaying bootstrap forms from django-bootstrap-form to django-bootstrap3. django-bootstrap3 provides better hooks to customize forms and made said re-design much easier than it would have been with django-bootstrap-form (in addition, it is [faster](zostera/django-bootstrap3#160))
* tests: Enable AniDB testing through mocking using responses library → Minor fixes in `anidb.py` file (default arguments) → Add fixture directory and test fixture directory in settings. → Use test fixture directory to feed mocking (fresh fixture from AniDB!) → Test `AniDB.search`. → Test `AniDB.get_dict`. → Add AniDB constants inside the class for convenience purpose. → Reformatting and imports optimization.
* WorkList: use a property for `is_dpp` * management command: fix analytics * knn: fix constructor and reformat according to PEP8. * chrono: remove unused keyword argument. * imports: clean unused imports. * knn: remove the ugly [\n and put a comment on its own line * knn: moar formatting implementation * management command: remove analytics
…287) * anonymous-ratings: Review page, clear all ratings, remainder banner - Add a remainder banner of anonymous ratings. - Add a review page by reusing `get_profile` view. - Add a way to clear all ratings (ugly link) * chore: reformat for better readability
* admin: reformat code and remove useless classes * admin: improve code style
* Update about and events * Add videos * Fix Soubi and Elarnon * Fix OpenGraph and Twittercard * Okay, it was a bad idea * Remove TensorFlow logging at once * Let's forget about removing logging
* Since TensorFlow 1.0, MangakiWALS models cannot be saved anymore * Fix pickle path everywhere * Add minimal test for recommendations * Fix unused parameter * Add notebook for benchmarks for cold-start * Fix KNN * Add LinearRegression for cold-start * Add MangakiProxyDPP * Cleanup compare management command * Edit experiment * Add computation of delta and update for ALS * Add BGS from Anava et al.'s WWW 2015 paper * Fix BGS, withdraw paper from RecSys * Fix NMF * Add Autoencoder with TensorFlow * Now users receive SVD if it exists, otherwise KNN * Order whole rating list by any algorithm * F 10000 inally manage those damn logs * Add logging and fix paths * Fix DPP and clean a lot of code * Remove useless print * Oops, forgot one file * Fix problems linked to merge
* Add an admin interface for merging works * Factor code * Add minor changes * Fix bug, and Language to admin * Take Raito changes into account * Fix bugs and display number of ratings of each work
* mal-import: refactor the whole code into something more maintainable
- Fix doctor's fields and use MALEntry.
- MAL:
- Refactor the whole module using a requests.Session and
instantiating a MALClient which handles the API operations.
- Rewrite the DB interaction to be more efficient and fix it in
some edge cases.
* add a default user-agent
* mangaki: fix when MAL import is not available
* mal: add some tests and refactor duplicated / unused code
* mal: rewrite the doctests with None
* mal: add missing fixtures
* mal-import: refactor the whole code into something more maintainable
- Fix doctor's fields and use MALEntry.
- MAL:
- Refactor the whole module using a requests.Session and
instantiating a MALClient which handles the API operations.
- Rewrite the DB interaction to be more efficient and fix it in
some edge cases.
* add a default user-agent
* mangaki: fix when MAL import is not available
* mal: add some tests and refactor duplicated / unused code
* mal: rewrite the doctests with None
* mal: add missing fixtures
* MAL: add synonyms and prepare for genres / types
→ Make language a nullable field for WorkTitle.
→ Added the related migration.
Now Mangaki supports Sentry integration, especially for beta.mangaki.fr. It'll make it easier to track unexpected exceptions on the back-end.
Fixes Sentry reporting of views exception.
Initial i18n of "about us" pages.
Now, AniDB API gets also `creators` and builds the correct mapping of `artists` inside the database.
- Added a new end_date field to Work's model that stores the end date of a show - AniDB's API wrapper now fetches the enddate of shows
Je sais pas pourquoi mais c'etait clairement une erreur.
ranking ordered by score decreasingly
Changing Date by DateTime field in Rating objects
* Get only the considered category in anonymous profiles * Fix my boolean algebra
…305) * Update notebooks * Update stats * Add MCTS * Add plot * Put back compare management command * Bad typo * Add factor analysis * Add EFA * Fix Factor Analysis * Add self.titles * Fix * Minor changes * Add categories to Dataset objects * Fix notebook * Fix viz * Best * Remove all notebooks * Add reference to EFA * Fix compute RMSE
Codecov Report
@@ Coverage Diff @@
## stable #400 +/- ##
==========================================
+ Coverage 48.48% 55.49% +7.01%
==========================================
Files 17 72 +55
Lines 1054 4173 +3119
==========================================
+ Hits 511 2316 +1805
- Misses 543 1857 +1314
Continue to review full report at Codecov.
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