docs: add snippets for Matrix Factorization tutorials #1630
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…-bigquery-dataframes into b338873783-mf-snippets
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Collaborator
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Snippet bot failure looks like a real one:
Edit: I created a suggested commit that I think should fix that. |
tswast
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May 7, 2025
tswast
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May 7, 2025
tswast
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May 7, 2025
tswast
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May 7, 2025
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| # Load movies | ||
| movies = bpd.read_gbq("bqml_tutorial.movies") | ||
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| # Merge the movies df with the previously created predicted df | ||
| merged_df = bpd.merge(predicted, movies, left_on="item_id", right_on="movie_id") |
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predicted here is only a subset. The SQL shows creating a table of all the predictions.
CREATE OR REPLACE TABLE `bqml_tutorial.recommend`
AS
SELECT
*
FROM
ML.RECOMMEND(MODEL `bqml_tutorial.mf_explicit`);
Did we implement a way for predict() to work without any inputs like in the SQL?
Suggested change
| # Load movies | |
| movies = bpd.read_gbq("bqml_tutorial.movies") | |
| # Merge the movies df with the previously created predicted df | |
| merged_df = bpd.merge(predicted, movies, left_on="item_id", right_on="movie_id") | |
| predicted = model.predict() | |
| # Load movies | |
| movies = bpd.read_gbq("bqml_tutorial.movies") | |
| # Merge the movies df with the previously created predicted df | |
| merged_df = bpd.merge(predicted, movies, left_on="item_id", right_on="movie_id") |
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Co-authored-by: Tim Sweña (Swast) <[email protected]>
Co-authored-by: Tim Sweña (Swast) <[email protected]>
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Samples tests passed! 🥳 |
tswast
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May 8, 2025
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Fixes #<issue_number_goes_here> 🦕